USS
Company Details
Linkedin ID:
us-secret-service
Website:
Employees number:
2,453
Number of followers:
344,002
NAICS:
92212
Industry Type:
Homepage:
secretservice.gov
IP Addresses:
0
Company ID:
U.S_2250590
Scan Status:
In-progress
U.S. Secret Service Company CyberSecurity Posture
secretservice.gov
The United States Secret Service is a federal law enforcement agency with headquarters in Washington, D.C., and more than 150 offices throughout the United States and abroad. The Secret Service was established in 1865, solely to suppress the counterfeiting of U.S. currency. Today, the agency is mandated by Congress to carry out dual missions: protection of national and visiting foreign leaders, and criminal investigations.
U.S. Secret Service A.I CyberSecurity Scoring
USS Risk Score (AI oriented)Between 750 and 799
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USS Company CyberSecurity News & History
Past Incidents
9
Attack Types
5
U.S. Department of Homeland Security
Breach
Rankiteo Explanation
Attack with significant impact with internal employee data leaks
Description: DHS had a privacy incident that resulted in the exposure of information for 247,167 active and retired federal employees. The database utilised by the DHS Office of the Inspector General (OIG) and kept in the Department of Homeland Security OIG Case Management System was compromised by a data breach. Employee names, Social Security numbers, dates of birth, jobs, grades, and duty locations are among the data that has been made public. In addition to putting additional security measures in place to restrict access to this kind of information, the Department of Homeland Security notified those who were impacted through notification letters.
U.S. Department of Homeland Security (DHS)
Breach
Rankiteo Explanation
Attack threatening the organization’s existence
Description: In March–May 2023, a misconfigured **DHS Homeland Security Information Network (HSIN-Intel)** platform exposed **sensitive but unclassified intelligence data**—including investigative leads shared with the FBI, National Counterterrorism Center, and local law enforcement—to **tens of thousands of unauthorized users**. The access controls were incorrectly set to 'everyone,' granting visibility to **non-intelligence government workers (e.g., disaster response teams), private contractors, and foreign government personnel**. The breach stemmed from **poor access management and lack of segmentation**, highlighting systemic failures in cloud security governance. While no classified data was compromised, the exposure risked operational security, counterterrorism efforts, and trust in interagency intelligence-sharing. The incident underscored how **human error and process gaps**—rather than sophisticated cyberattacks—remain a dominant cause of high-impact breaches in critical infrastructure.
Department of Homeland Security (DHS)
Breach
Rankiteo Explanation
Attack threatening the economy of geographical region
Description: A misconfiguration in the **Homeland Security Information Network-Intel (HSIN-Intel)**—an internal DHS platform used to share **sensitive but unclassified intelligence**—exposed restricted data to **tens of thousands of unauthorized users** between **March and May 2023**. The breach allowed access to **439 intelligence products**, improperly viewed **1,525 times**, including by **518 private-sector contractors and 46 foreign nationals**. Exposed data included **law enforcement leads, domestic protest analysis (e.g., Stop Cop City protests), foreign hacking reports, and disinformation campaigns**, with **39% of accessed materials related to cybersecurity threats** (e.g., state-sponsored hacking). While some unauthorized US users *could* have requested access, the incident revealed systemic failures in **access controls**, raising concerns over **national security risks** and the DHS’s ability to safeguard sensitive intelligence shared with agencies like the **FBI and National Counterterrorism Center**. The leak underscored vulnerabilities in handling **domestic surveillance data**, potentially compromising **counterterrorism operations, protest monitoring, and foreign cyber threat intelligence**.
Department of Homeland Security
Breach
Rankiteo Explanation
Attack that could injure or kill people
Description: The DHS has identified a growing threat from commercial drones being weaponized by violent extremists in the US. Although technological capabilities are advancing, state and local law enforcement lack the authority and means to effectively counter this new form of aerial menace. Despite efforts to enhance detection and response, including repositioning CCTV and training police to handle hazardous drones, the accessibility of advanced evasion technologies complicates tracking and neutralization efforts. Reports of uncorroborated drone sightings have increased public concern, prompting the DHS to seek expanded legislative counter-drone authorities.
Department of Homeland Security
Cyber Attack
Rankiteo Explanation
Attack that could injure or kill people
Description: The DHS memo highlighted the vulnerability of US cities to weaponized drones, with extremists potentially modifying drones to carry threats like explosives and chemicals. Despite observing nefarious drone activities, local authorities often lack the authority to intervene. To combat this, the DHS has recommended repositioning CCTV cameras, training police on handling hazardous drones, and deploying sensors for drone detection. The rising threat emphasizes the need for improved countermeasures and preparedness against unmanned aircraft systems.
U.S. Department of Homeland Security
Data Leak
Rankiteo Explanation
Attack with significant impact with internal employee data leaks
Description: A Department of Justice employee's email account was compromised by a hacker, who took 200GB of data, including records of 20,000 FBI workers and 9,000 DHS employees. Delving deeper into the archive, one finds information about DHS security experts, programme analysts, IT, infosec, and security, as well as 100 individuals who hold the title of intelligence. Motherboard claims that a hacker gained access to a Department of Justice employee's email account. As evidence, the hacker used the hacked account to send the email directly to Motherboard contributor Joseph Cox. The apparent job titles, names, phone numbers, and email addresses of over 9,000 purported Department of Homeland Security (DHS) workers and over 20,000 purported FBI employees.
US Federal Agencies
Ransomware
Rankiteo Explanation
Attack threatening the organization's existence
Description: Daniil Kasatkin, a 26-year-old Russian professional basketball player, was arrested at Charles de Gaulle Airport in Paris on June 21, 2023, for his alleged involvement in a ransomware gang that operated between 2020 and 2022. The gang is accused of targeting around 900 organizations, including two US federal agencies. Kasatkin is facing charges of 'conspiracy to commit computer fraud' and 'computer fraud conspiracy.' His lawyers deny the allegations, claiming he is not tech-savvy and was unaware of any unlawful activities. The US has not yet released any statements or evidence regarding the crimes.
Department of Homeland Security
Vulnerability
Rankiteo Explanation
Attack that could injure or kill people
Description: The DHS encountered growing threats from commercial drones being modified to carry hazardous payloads, impacting national security. Attempted mitigations include improved detection and response capabilities through local law enforcement training and technology deployment. These clandestine drone activities pose a significant risk, requiring urgent action and cooperation between federal and local agencies to ensure public safety and preserve critical infrastructure.
United States Federal Government (FBI Warning Context)
Cyber Attack
Rankiteo Explanation
Attack threatening the organization’s existence
Description: The FBI issued a public warning about a sophisticated **smishing (SMS phishing) and vishing (voice phishing) campaign** targeting **current/former senior U.S. government officials and their contacts** since April 2025. Malicious actors impersonate high-ranking officials using **AI-generated voice cloning** and fraudulent text messages to deceive victims into revealing **sensitive personal data, login credentials, or financial information**. The attack exploits **trust in authoritative figures**, leveraging publicly available data (e.g., job titles, photos) to craft convincing lures. Victims are tricked into clicking malicious links, downloading malware, or granting access to accounts under false pretenses (e.g., switching to a 'secure' messaging platform).The stolen credentials risk **further impersonation, disinformation campaigns, or financial fraud**, with potential cascading effects on **national security** if government communications or networks are compromised. While no large-scale data breach has been confirmed, the campaign’s **targeted nature**—focusing on high-profile individuals—poses a severe risk of **credential harvesting, identity theft, and unauthorized access to classified or sensitive systems**. The FBI emphasizes the threat’s **evolving sophistication**, combining **social engineering with AI-driven deception** to bypass traditional defenses.
USS Company Scoring based on AI Models
Cyber Incidents Likelihood 3 - 6 - 9 months
A.I Risk Score Likelihood 3 - 6 - 9 months
Underwriter Stats for USS
Incidents vs Law Enforcement Industry Average (This Year)
U.S. Secret Service has 63.93% more incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs All-Companies Average (This Year)
U.S. Secret Service has 56.25% more incidents than the average of all companies with at least one recorded incident.
Incident Types USS vs Law Enforcement Industry Avg (This Year)
U.S. Secret Service reported 1 incidents this year: 1 cyber attacks, 0 ransomware, 0 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.
Incident History — USS (X = Date, Y = Severity)
USS cyber incidents detection timeline including parent company and subsidiaries
USS Company Subsidiaries
The United States Secret Service is a federal law enforcement agency with headquarters in Washington, D.C., and more than 150 offices throughout the United States and abroad. The Secret Service was established in 1865, solely to suppress the counterfeiting of U.S. currency. Today, the agency is mandated by Congress to carry out dual missions: protection of national and visiting foreign leaders, and criminal investigations.
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USS CyberSecurity News
November 26, 2025 11:34 AM
U.S. Secret Service Issues Holiday Warning on New Techniques Used by Cyber Criminals
Sophisticated voice cloning systems are being used by cyber criminals to manipulate unsuspecting people into transferring vast sums of money...
October 27, 2025 07:00 AM
US Secret Service Cracks Down on Payment Card Fraud, Removes 22 Card Skimmers in Maryland Operation
The U.S. Secret Service removed 22 card skimming devices in a recent Maryland operation, preventing millions in potential payment card...
October 20, 2025 07:00 AM
Jeff Burnside Promoted to Deputy Assistant Director at U.S. Secret Service
After more than two decades of service, veteran Secret Service agent Jeff Burnside has been promoted to Deputy Assistant Director in the...
October 03, 2025 07:00 AM
Cybersecurity Information Sharing Act expires, and other cybersecurity news
Top news: Cybersecurity Information Sharing Act expires; US Secret Service stops telecoms threat; Major cyber attack on European airports.
September 29, 2025 07:00 AM
SIM Farm Discovered in NYC by Secret Service Was Used for Criminal Activity, Assassination Threats
A New York City SIM farm recently seized by the Secret Service was being put to use in a variety of criminal activities and had the...
September 26, 2025 07:00 AM
Chris Kraft Steps Into Acting CIO Role at U.S. Secret Service
Chris Kraft has taken on the role of Acting Chief Information Officer (CIO) at the U.S. Secret Service, according to recent acknowledgments...
September 24, 2025 07:06 AM
US Secret Service disrupts Sim Server operations used for Vishing
The Advanced Threat Interdiction Unit (ATIU), a specialized division within the United States Secret Service, spearheaded the investigation and the subsequent...
September 24, 2025 07:00 AM
Cybersecurity expert discusses telecom threat dismantled by Secret Service
The Secret Service said the threat was large enough to cripple the city's cell service systems.
September 24, 2025 07:00 AM
Secret Service Stops Major NYC Cell Network Attack
In September 2025, the US Secret Service announced the successful dismantling of a sprawling network of SIM servers and SIM cards across the...
Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
USS CyberSecurity History Information
Official Website of U.S. Secret Service
The official website of U.S. Secret Service is http://www.secretservice.gov.
U.S. Secret Service’s AI-Generated Cybersecurity Score
According to Rankiteo, U.S. Secret Service’s AI-generated cybersecurity score is 757, reflecting their Fair security posture.
How many security badges does U.S. Secret Service’ have ?
According to Rankiteo, U.S. Secret Service currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does U.S. Secret Service have SOC 2 Type 1 certification ?
According to Rankiteo, U.S. Secret Service is not certified under SOC 2 Type 1.
Does U.S. Secret Service have SOC 2 Type 2 certification ?
According to Rankiteo, U.S. Secret Service does not hold a SOC 2 Type 2 certification.
Does U.S. Secret Service comply with GDPR ?
According to Rankiteo, U.S. Secret Service is not listed as GDPR compliant.
Does U.S. Secret Service have PCI DSS certification ?
According to Rankiteo, U.S. Secret Service does not currently maintain PCI DSS compliance.
Does U.S. Secret Service comply with HIPAA ?
According to Rankiteo, U.S. Secret Service is not compliant with HIPAA regulations.
Does U.S. Secret Service have ISO 27001 certification ?
According to Rankiteo,U.S. Secret Service is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of U.S. Secret Service
U.S. Secret Service operates primarily in the Law Enforcement industry.
Number of Employees at U.S. Secret Service
U.S. Secret Service employs approximately 2,453 people worldwide.
Subsidiaries Owned by U.S. Secret Service
U.S. Secret Service presently has no subsidiaries across any sectors.
U.S. Secret Service’s LinkedIn Followers
U.S. Secret Service’s official LinkedIn profile has approximately 344,002 followers.
NAICS Classification of U.S. Secret Service
U.S. Secret Service is classified under the NAICS code 92212, which corresponds to Police Protection.
U.S. Secret Service’s Presence on Crunchbase
No, U.S. Secret Service does not have a profile on Crunchbase.
U.S. Secret Service’s Presence on LinkedIn
Yes, U.S. Secret Service maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/us-secret-service.
Cybersecurity Incidents Involving U.S. Secret Service
As of November 27, 2025, Rankiteo reports that U.S. Secret Service has experienced 9 cybersecurity incidents.
Number of Peer and Competitor Companies
U.S. Secret Service has an estimated 1,471 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at U.S. Secret Service ?
Incident Types: The types of cybersecurity incidents that have occurred include Cyber Attack, Vulnerability, Ransomware, Data Leak and Breach.
How does U.S. Secret Service detect and respond to cybersecurity incidents ?
Detection and Response: The company detects and responds to cybersecurity incidents through an remediation measures with notification letters sent to affected individuals, remediation measures with additional security measures implemented to restrict access to information, and containment measures with improved detection and response capabilities, containment measures with local law enforcement training, containment measures with technology deployment, and law enforcement notified with yes, and containment measures with repositioning cctv, containment measures with training police to handle hazardous drones, and and communication strategy with foia disclosure (dhs memo), communication strategy with media reports (wired), and network segmentation with recommended as corrective action, and enhanced monitoring with recommended as corrective action, and and and containment measures with public service announcement (psa), containment measures with awareness campaign, containment measures with reporting via ic3 (internet crime complaint center), and remediation measures with password changes, remediation measures with multi-factor authentication (mfa) enforcement, remediation measures with account monitoring, and communication strategy with fbi psa, communication strategy with media outreach, communication strategy with direct warnings to potential targets, and enhanced monitoring with recommendation for individuals to monitor accounts..
Incident Details
Can you provide details on each incident ?
Title: Department of Justice Email Account Compromise
Description: A Department of Justice employee's email account was compromised by a hacker, who took 200GB of data, including records of 20,000 FBI workers and 9,000 DHS employees. The data included information about DHS security experts, programme analysts, IT, infosec, and security, as well as 100 individuals who hold the title of intelligence.
Type: Data Breach
Attack Vector: Email Compromise
Threat Actor: Hacker
Motivation: Data Theft
Title: DHS Data Breach Incident
Description: A privacy incident at the Department of Homeland Security (DHS) resulted in the exposure of information for 247,167 active and retired federal employees. The compromised data includes employee names, Social Security numbers, dates of birth, positions, grades, and duty locations. The DHS Office of the Inspector General (OIG) Case Management System was affected.
Type: Data Breach
Title: Weaponized Drones Threat to US Cities
Description: The DHS memo highlighted the vulnerability of US cities to weaponized drones, with extremists potentially modifying drones to carry threats like explosives and chemicals. Despite observing nefarious drone activities, local authorities often lack the authority to intervene. To combat this, the DHS has recommended repositioning CCTV cameras, training police on handling hazardous drones, and deploying sensors for drone detection. The rising threat emphasizes the need for improved countermeasures and preparedness against unmanned aircraft systems.
Type: Unmanned Aerial Vehicle (UAV) Threat
Attack Vector: Weaponized Drones
Vulnerability Exploited: Lack of local authority to intervene with nefarious drone activities
Threat Actor: Extremists
Motivation: To cause harm or disruption using weaponized drones
Title: Commercial Drone Threats to National Security
Description: The DHS encountered growing threats from commercial drones being modified to carry hazardous payloads, impacting national security. Attempted mitigations include improved detection and response capabilities through local law enforcement training and technology deployment. These clandestine drone activities pose a significant risk, requiring urgent action and cooperation between federal and local agencies to ensure public safety and preserve critical infrastructure.
Type: Physical Security Threat
Attack Vector: Modified Commercial Drones
Vulnerability Exploited: Lack of adequate detection and response capabilities for drone threats
Motivation: Impact national security and critical infrastructure
Title: Weaponized Drones Threat by Violent Extremists
Description: The DHS has identified a growing threat from commercial drones being weaponized by violent extremists in the US. Although technological capabilities are advancing, state and local law enforcement lack the authority and means to effectively counter this new form of aerial menace. Despite efforts to enhance detection and response, including repositioning CCTV and training police to handle hazardous drones, the accessibility of advanced evasion technologies complicates tracking and neutralization efforts. Reports of uncorroborated drone sightings have increased public concern, prompting the DHS to seek expanded legislative counter-drone authorities.
Type: Weaponized Drones
Attack Vector: Drones
Threat Actor: Violent Extremists
Motivation: Terrorism
Title: Russian Basketball Player Arrested for Ransomware Negotiation
Description: Daniil Kasatkin, a professional basketball player, was arrested in France for allegedly acting as a negotiator for a ransomware gang that targeted around 900 organizations, including two US federal agencies.
Date Detected: 2023-06-21
Type: Ransomware
Attack Vector: Ransomware Negotiation
Threat Actor: Unnamed Ransomware Gang
Motivation: Financial Gain
Title: DHS Intelligence Data Leak via Misconfigured HSIN-Intel Platform
Description: An internal DHS memo obtained via a FOIA request revealed that from March to May 2023, the DHS Office of Intelligence and Analysis (I&A) misconfigured its Homeland Security Information Network-Intelligence (HSIN-Intel) platform, exposing restricted intelligence information to tens of thousands of unauthorized users, including US government workers (e.g., disaster response), private sector contractors, and foreign nationals. The leak involved 439 I&A 'products' accessed 1,525 times, with 518 accesses by private sector users and 46 by non-US citizens. Exposed data included law enforcement leads, reports on foreign hacking/disinformation, and analyses of domestic protests (e.g., Stop Cop City). Nearly 40% of improperly accessed materials pertained to cybersecurity threats like state-sponsored hacking.
Type: data leak
Attack Vector: misconfigured access controls (platform set to 'everyone' instead of restricted HSIN-Intel users)
Vulnerability Exploited: improper access control configuration
Title: DHS Data Hub Misconfiguration Exposes Sensitive Intelligence to Unauthorized Users
Description: An internal DHS memo obtained via FOIA revealed that from March to May 2023, a DHS online platform (HSIN-Intel) used to share sensitive but unclassified intelligence was misconfigured, granting access to 'everyone' instead of only authorized users. This exposed restricted intelligence to tens of thousands of unauthorized users, including non-intelligence government workers, private contractors, and foreign government staff. The incident highlights systemic failures in cloud security, including misconfigurations tied to overly permissive IAM policies, lack of segmentation, and poor access management. Additionally, a separate 2025 breach exposed 184 million plain-text user records (including credentials for Apple, Google, Meta, etc.), emphasizing the broader crisis of cloud misconfigurations driven by human error, lack of expertise, and poor governance.
Date Detected: 2023-05-01
Date Publicly Disclosed: 2023-06-01
Type: Data Exposure
Attack Vector: Misconfigured Access ControlsOverly Permissive IAM PoliciesPublicly Exposed Storage
Vulnerability Exploited: Improper Public Access ConfigurationLack of SegmentationDisabled LoggingMissing Alerts
Title: FBI Warns of AI-Powered Smishing and Vishing Scams Targeting U.S. Government Officials
Description: The FBI has disclosed a coordinated campaign involving smishing (malicious text messages) and vishing (AI-generated voice messages) targeting senior U.S. government officials (current/former) and their contacts since April 2025. Attackers impersonate trusted figures to harvest credentials, spread disinformation, or commit fraud. The scams exploit AI voice cloning, publicly available data, and trust-based manipulation. Victims are tricked into revealing sensitive information or granting account access via fake messaging platforms or malicious links.
Date Detected: 2025-04
Type: social engineering
Attack Vector: SMS/MMS (smishing)voice calls/voicemails (vishing)AI-generated audiomalicious linksfake messaging platformstrust exploitation
Vulnerability Exploited: human trustlack of multi-factor authentication (MFA)publicly available personal data (e.g., photos, job titles)AI voice cloning limitationsurgency/authority manipulation
Motivation: financial gaincredential harvestingdisinformationespionagefraudnetwork infiltration
What are the most common types of attacks the company has faced ?
Common Attack Types: The most common types of attacks the company has faced is Breach.
How does the company identify the attack vectors used in incidents ?
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Email Account, Misconfigured HSIN-Intel Platform (DHS)Unsecured Database (2025 Breach) and SMS/MMS messagesvoice calls/voicemailsfake messaging platforms.
Impact of the Incidents
What was the impact of each incident ?
Incident : Data Breach USD181261023
Data Compromised: 200gb of data, including records of 20,000 fbi workers and 9,000 dhs employees, Information about dhs security experts, programme analysts, it, infosec, and security, as well as 100 individuals who hold the title of intelligence
Brand Reputation Impact: High
Identity Theft Risk: High
Incident : Data Breach USD331181223
Data Compromised: Employee names, Social security numbers, Dates of birth, Positions, Grades, Duty locations
Systems Affected: DHS OIG Case Management System
Incident : Physical Security Threat US-001010525
Operational Impact: High
Incident : data leak US-4992949091625
Data Compromised: Law enforcement leads and tips, Reports on foreign hacking and disinformation campaigns, Analysis of domestic protest movements (e.g., stop cop city protests in atlanta), Cybersecurity intelligence (39% of exposed products), Media reports praising violent actions against police
Systems Affected: Homeland Security Information Network-Intelligence (HSIN-Intel) platform
Operational Impact: exposure of sensitive but unclassified intelligence to unauthorized parties, undermining trust in DHS information security
Brand Reputation Impact: eroded public and stakeholder trust in DHS's ability to secure sensitive intelligence data
Incident : Data Exposure US-4641646100525
Data Compromised: Sensitive intelligence (dhs), 184m user records (2025 breach), Plain-text credentials (apple, google, meta, etc.), Bank accounts, Health platforms, Government portals
Systems Affected: HSIN-Intel Platform (DHS)Unsecured Database (2025 Breach)
Operational Impact: Unauthorized Access to Restricted IntelligenceIncreased Risk of Identity Theft/Phishing (2025 Breach)Credential Stuffing Attacks
Brand Reputation Impact: Erosion of Trust in DHS/Federal AgenciesReputation Damage for Affected Platforms (Apple, Google, etc.)
Identity Theft Risk: ['High (184M Records Exposed in Plain Text)']
Payment Information Risk: ['High (Bank Account Details Exposed in 2025 Breach)']
Incident : social engineering US-5985259112625
Data Compromised: Personal information, Login credentials, Contact lists, Potentially sensitive government communications
Brand Reputation Impact: potential erosion of trust in government communicationsreputational damage to impersonated officials
Identity Theft Risk: high
Payment Information Risk: high
What types of data are most commonly compromised in incidents ?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Personally Identifiable Information (Pii), Job Titles, Phone Numbers, Email Addresses, , Personally Identifiable Information, , Sensitive But Unclassified Intelligence, Investigative Leads, Law Enforcement Tips, Foreign Hacking/Disinformation Reports, Domestic Protest Analyses, Cybersecurity Threat Intelligence, , Intelligence Reports (Dhs), User Credentials (Plain Text), Bank Account Details, Health Data, Government Portal Access, , Personal Identifiable Information (Pii), Credentials, Contact Lists, Potentially Sensitive Communications and .
Which entities were affected by each incident ?
Incident : Data Breach USD181261023
Entity Name: Department of Justice
Entity Type: Government Agency
Industry: Law Enforcement
Location: United States
Size: Large
Incident : Data Breach USD181261023
Entity Name: FBI
Entity Type: Government Agency
Industry: Law Enforcement
Location: United States
Size: Large
Incident : Data Breach USD181261023
Entity Name: Department of Homeland Security
Entity Type: Government Agency
Industry: Law Enforcement
Location: United States
Size: Large
Incident : Data Breach USD331181223
Entity Name: Department of Homeland Security
Entity Type: Government Agency
Industry: Government
Size: Large
Incident : Unmanned Aerial Vehicle (UAV) Threat US-000122324
Entity Type: US Cities
Industry: Public Safety
Location: United States
Incident : Physical Security Threat US-001010525
Entity Name: Department of Homeland Security (DHS)
Entity Type: Government Agency
Industry: National Security
Location: United States
Incident : Weaponized Drones US-001011225
Entity Name: Department of Homeland Security (DHS)
Entity Type: Government Organization
Industry: Security
Location: United States
Incident : Ransomware US-341071125
Entity Type: Organization
Incident : data leak US-4992949091625
Entity Name: U.S. Department of Homeland Security (DHS)
Entity Type: federal government agency
Industry: national security/homeland security
Location: United States
Incident : data leak US-4992949091625
Entity Name: DHS Office of Intelligence and Analysis (I&A)
Entity Type: intelligence agency (subdivision of DHS)
Industry: intelligence/law enforcement
Location: United States
Incident : data leak US-4992949091625
Entity Name: Unauthorized HSIN Users
Entity Type: government workers (non-intelligence/law enforcement), private sector contractors, foreign government staff
Location: United Statesinternational (foreign nationals)
Size: tens of thousands (439 products accessed 1,525 times; 518 by private sector, 46 by non-US citizens)
Incident : Data Exposure US-4641646100525
Entity Name: U.S. Department of Homeland Security (DHS)
Entity Type: Government Agency
Industry: National Security
Location: United States
Size: Large
Customers Affected: Tens of thousands (HSIN users)
Incident : Data Exposure US-4641646100525
Entity Name: Multiple Global Platforms (Apple, Google, Meta, Microsoft, etc.)
Entity Type: Tech Companies, Social Media, Cloud Providers
Industry: Technology
Location: Global
Size: Fortune 2000
Customers Affected: 184 million users (2025 Breach)
Incident : Data Exposure US-4641646100525
Entity Name: FBI
Entity Type: Law Enforcement
Industry: National Security
Location: United States
Size: Large
Incident : Data Exposure US-4641646100525
Entity Name: National Counterterrorism Center (NCTC)
Entity Type: Intelligence Agency
Industry: National Security
Location: United States
Size: Large
Incident : Data Exposure US-4641646100525
Entity Name: Local Law Enforcement & Intelligence Fusion Centers
Entity Type: Government
Industry: Public Safety
Location: United States
Size: Varies
Incident : social engineering US-5985259112625
Entity Name: U.S. Federal Government
Entity Type: government
Industry: public administration
Location: United States
Incident : social engineering US-5985259112625
Entity Name: U.S. State Governments
Entity Type: government
Industry: public administration
Location: United States
Incident : social engineering US-5985259112625
Entity Name: Personal Contacts of Targeted Officials
Entity Type: individuals
Location: United States (primarily)
Response to the Incidents
What measures were taken in response to each incident ?
Incident : Data Breach USD331181223
Remediation Measures: Notification letters sent to affected individualsAdditional security measures implemented to restrict access to information
Incident : Physical Security Threat US-001010525
Containment Measures: Improved detection and response capabilitiesLocal law enforcement trainingTechnology deployment
Incident : Weaponized Drones US-001011225
Law Enforcement Notified: Yes
Containment Measures: Repositioning CCTVTraining police to handle hazardous drones
Incident : Ransomware US-341071125
Incident : Data Exposure US-4641646100525
Communication Strategy: FOIA Disclosure (DHS Memo)Media Reports (WIRED)
Network Segmentation: ['Recommended as Corrective Action']
Enhanced Monitoring: Recommended as Corrective Action
Incident : social engineering US-5985259112625
Incident Response Plan Activated: True
Containment Measures: public service announcement (PSA)awareness campaignreporting via IC3 (Internet Crime Complaint Center)
Remediation Measures: password changesmulti-factor authentication (MFA) enforcementaccount monitoring
Communication Strategy: FBI PSAmedia outreachdirect warnings to potential targets
Enhanced Monitoring: recommendation for individuals to monitor accounts
Data Breach Information
What type of data was compromised in each breach ?
Incident : Data Breach USD181261023
Type of Data Compromised: Personally identifiable information (pii), Job titles, Phone numbers, Email addresses
Number of Records Exposed: 29,000
Sensitivity of Data: High
Data Exfiltration: Yes
Personally Identifiable Information: Yes
Incident : Data Breach USD331181223
Type of Data Compromised: Personally identifiable information
Number of Records Exposed: 247167
Sensitivity of Data: High
Personally Identifiable Information: Employee namesSocial Security numbersDates of birthPositionsGradesDuty locations
Incident : data leak US-4992949091625
Type of Data Compromised: Sensitive but unclassified intelligence, Investigative leads, Law enforcement tips, Foreign hacking/disinformation reports, Domestic protest analyses, Cybersecurity threat intelligence
Number of Records Exposed: 439 I&A 'products' accessed 1,525 times
Sensitivity of Data: sensitive but unclassified (restricted to HSIN-Intel users)
Incident : Data Exposure US-4641646100525
Type of Data Compromised: Intelligence reports (dhs), User credentials (plain text), Bank account details, Health data, Government portal access
Number of Records Exposed: Undisclosed (DHS), 184 million (2025 Breach)
Sensitivity of Data: High (Intelligence/National Security)Critical (Financial/Health Data)
Data Exfiltration: Likely (2025 Breach)Unconfirmed (DHS)
Data Encryption: ['None (Plain-Text Records in 2025 Breach)']
File Types Exposed: Database RecordsAuthorization URLsCredentials
Personally Identifiable Information: UsernamesPasswordsBank Account DetailsHealth Records
Incident : social engineering US-5985259112625
Type of Data Compromised: Personal identifiable information (pii), Credentials, Contact lists, Potentially sensitive communications
Sensitivity of Data: high
Data Exfiltration: likely
What measures does the company take to prevent data exfiltration ?
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Notification letters sent to affected individuals, Additional security measures implemented to restrict access to information, , password changes, multi-factor authentication (MFA) enforcement, account monitoring, .
How does the company handle incidents involving personally identifiable information (PII) ?
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through by improved detection and response capabilities, local law enforcement training, technology deployment, , repositioning cctv, training police to handle hazardous drones, , public service announcement (psa), awareness campaign, reporting via ic3 (internet crime complaint center) and .
Regulatory Compliance
Were there any regulatory violations and fines imposed for each incident ?
Incident : Ransomware US-341071125
Legal Actions: Pending Extradition to the US
Incident : Data Exposure US-4641646100525
Regulations Violated: Potential FISMA (DHS), GDPR (if EU citizens affected in 2025 Breach), State Data Breach Laws,
Regulatory Notifications: FOIA Disclosure (DHS)
Incident : social engineering US-5985259112625
Regulatory Notifications: FBI public advisory
How does the company ensure compliance with regulatory requirements ?
Ensuring Regulatory Compliance: The company ensures compliance with regulatory requirements through Pending Extradition to the US.
Lessons Learned and Recommendations
What lessons were learned from each incident ?
Incident : Unmanned Aerial Vehicle (UAV) Threat US-000122324
Lessons Learned: Improved countermeasures and preparedness against unmanned aircraft systems are necessary.
Incident : Physical Security Threat US-001010525
Lessons Learned: Urgent action and cooperation between federal and local agencies are necessary to ensure public safety and preserve critical infrastructure.
Incident : Data Exposure US-4641646100525
Lessons Learned: Misconfigurations are systemic failures tied to people, process, and policy—not just technical oversights., Overly permissive IAM policies and lack of segmentation enable broad unauthorized access., Publicly exposed storage buckets/databases with sensitive data create high-risk vectors., Plain-text credential storage exacerbates identity theft and fraud risks., Cloud drift and lack of context in security tools lead to alert fatigue and missed critical issues., Developer workflows (e.g., CI/CD pipelines) can propagate misconfigurations at scale.
Incident : social engineering US-5985259112625
Lessons Learned: AI-powered scams are increasingly sophisticated and can bypass traditional skepticism., Trust-based attacks exploit human psychology, requiring behavioral defenses (e.g., verification habits)., Publicly available data (e.g., LinkedIn, social media) fuels convincing impersonations., Multi-factor authentication (MFA) is critical but must be paired with user education to prevent code-sharing., Proactive communication from authorities can mitigate large-scale campaigns.
What recommendations were made to prevent future incidents ?
Incident : Unmanned Aerial Vehicle (UAV) Threat US-000122324
Recommendations: Repositioning CCTV cameras, Training police on handling hazardous drones, Deploying sensors for drone detectionRepositioning CCTV cameras, Training police on handling hazardous drones, Deploying sensors for drone detectionRepositioning CCTV cameras, Training police on handling hazardous drones, Deploying sensors for drone detection
Incident : Physical Security Threat US-001010525
Recommendations: Improve detection and response capabilities, Enhance local law enforcement training, Deploy advanced technologies to mitigate drone threatsImprove detection and response capabilities, Enhance local law enforcement training, Deploy advanced technologies to mitigate drone threatsImprove detection and response capabilities, Enhance local law enforcement training, Deploy advanced technologies to mitigate drone threats
Incident : Data Exposure US-4641646100525
Recommendations: Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Enforce **multi-factor authentication (MFA)** on all admin accounts., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Enable **centralized logging and monitoring** with context-aware alerts., Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Encrypt **data at rest and in transit** (avoid plain-text storage)., Segment networks to **limit lateral movement** in case of breaches., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Address **shadow IT** with discovery tools and governance policies., Prioritize **human-centric security** (training, process improvements) alongside technical controls.Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Enforce **multi-factor authentication (MFA)** on all admin accounts., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Enable **centralized logging and monitoring** with context-aware alerts., Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Encrypt **data at rest and in transit** (avoid plain-text storage)., Segment networks to **limit lateral movement** in case of breaches., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Address **shadow IT** with discovery tools and governance policies., Prioritize **human-centric security** (training, process improvements) alongside technical controls.Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Enforce **multi-factor authentication (MFA)** on all admin accounts., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Enable **centralized logging and monitoring** with context-aware alerts., Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Encrypt **data at rest and in transit** (avoid plain-text storage)., Segment networks to **limit lateral movement** in case of breaches., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Address **shadow IT** with discovery tools and governance policies., Prioritize **human-centric security** (training, process improvements) alongside technical controls.Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Enforce **multi-factor authentication (MFA)** on all admin accounts., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Enable **centralized logging and monitoring** with context-aware alerts., Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Encrypt **data at rest and in transit** (avoid plain-text storage)., Segment networks to **limit lateral movement** in case of breaches., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Address **shadow IT** with discovery tools and governance policies., Prioritize **human-centric security** (training, process improvements) alongside technical controls.Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Enforce **multi-factor authentication (MFA)** on all admin accounts., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Enable **centralized logging and monitoring** with context-aware alerts., Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Encrypt **data at rest and in transit** (avoid plain-text storage)., Segment networks to **limit lateral movement** in case of breaches., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Address **shadow IT** with discovery tools and governance policies., Prioritize **human-centric security** (training, process improvements) alongside technical controls.Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Enforce **multi-factor authentication (MFA)** on all admin accounts., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Enable **centralized logging and monitoring** with context-aware alerts., Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Encrypt **data at rest and in transit** (avoid plain-text storage)., Segment networks to **limit lateral movement** in case of breaches., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Address **shadow IT** with discovery tools and governance policies., Prioritize **human-centric security** (training, process improvements) alongside technical controls.Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Enforce **multi-factor authentication (MFA)** on all admin accounts., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Enable **centralized logging and monitoring** with context-aware alerts., Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Encrypt **data at rest and in transit** (avoid plain-text storage)., Segment networks to **limit lateral movement** in case of breaches., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Address **shadow IT** with discovery tools and governance policies., Prioritize **human-centric security** (training, process improvements) alongside technical controls.Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Enforce **multi-factor authentication (MFA)** on all admin accounts., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Enable **centralized logging and monitoring** with context-aware alerts., Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Encrypt **data at rest and in transit** (avoid plain-text storage)., Segment networks to **limit lateral movement** in case of breaches., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Address **shadow IT** with discovery tools and governance policies., Prioritize **human-centric security** (training, process improvements) alongside technical controls.Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Enforce **multi-factor authentication (MFA)** on all admin accounts., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Enable **centralized logging and monitoring** with context-aware alerts., Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Encrypt **data at rest and in transit** (avoid plain-text storage)., Segment networks to **limit lateral movement** in case of breaches., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Address **shadow IT** with discovery tools and governance policies., Prioritize **human-centric security** (training, process improvements) alongside technical controls.Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Enforce **multi-factor authentication (MFA)** on all admin accounts., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Enable **centralized logging and monitoring** with context-aware alerts., Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Encrypt **data at rest and in transit** (avoid plain-text storage)., Segment networks to **limit lateral movement** in case of breaches., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Address **shadow IT** with discovery tools and governance policies., Prioritize **human-centric security** (training, process improvements) alongside technical controls.
Incident : social engineering US-5985259112625
Recommendations: For Organizations: Train employees on recognizing AI-generated scams (e.g., voice artifacts, tone inconsistencies)., Implement strict MFA policies and phishing-resistant authentication methods., Monitor dark web for exposed credentials linked to employees., Establish clear protocols for verifying high-stakes requests (e.g., fund transfers)., Collaborate with law enforcement to share threat intelligence., For Organizations: Train employees on recognizing AI-generated scams (e.g., voice artifacts, tone inconsistencies)., Implement strict MFA policies and phishing-resistant authentication methods., Monitor dark web for exposed credentials linked to employees., Establish clear protocols for verifying high-stakes requests (e.g., fund transfers)., Collaborate with law enforcement to share threat intelligence..
What are the key lessons learned from past incidents ?
Key Lessons Learned: The key lessons learned from past incidents are Improved countermeasures and preparedness against unmanned aircraft systems are necessary.Urgent action and cooperation between federal and local agencies are necessary to ensure public safety and preserve critical infrastructure.Misconfigurations are systemic failures tied to people, process, and policy—not just technical oversights.,Overly permissive IAM policies and lack of segmentation enable broad unauthorized access.,Publicly exposed storage buckets/databases with sensitive data create high-risk vectors.,Plain-text credential storage exacerbates identity theft and fraud risks.,Cloud drift and lack of context in security tools lead to alert fatigue and missed critical issues.,Developer workflows (e.g., CI/CD pipelines) can propagate misconfigurations at scale.AI-powered scams are increasingly sophisticated and can bypass traditional skepticism.,Trust-based attacks exploit human psychology, requiring behavioral defenses (e.g., verification habits).,Publicly available data (e.g., LinkedIn, social media) fuels convincing impersonations.,Multi-factor authentication (MFA) is critical but must be paired with user education to prevent code-sharing.,Proactive communication from authorities can mitigate large-scale campaigns.
References
Where can I find more information about each incident ?
Incident : Data Breach USD181261023
Source: Motherboard
Incident : Unmanned Aerial Vehicle (UAV) Threat US-000122324
Source: DHS Memo
Incident : Ransomware US-341071125
Source: AFP
Incident : data leak US-4992949091625
Source: WIRED
Incident : data leak US-4992949091625
Source: Freedom of Information Act (FOIA) request (Brennan Center for Justice)
Incident : data leak US-4992949091625
Source: DHS internal memo (obtained via FOIA)
Incident : Data Exposure US-4641646100525
Source: WIRED
URL: https://www.wired.com/story/dhs-data-hub-exposed-sensitive-intel-unauthorized-users/
Date Accessed: 2023-06-01
Incident : Data Exposure US-4641646100525
Source: Jeremiah Fowler (Cybersecurity Researcher)
Date Accessed: 2025-06-01
Incident : Data Exposure US-4641646100525
Source: Wiz Academy - Top 11 Cloud Security Vulnerabilities
Incident : Data Exposure US-4641646100525
Source: CrowdStrike - Common Cloud Misconfigurations
URL: https://www.crowdstrike.com/blog/common-cloud-misconfigurations/
Date Accessed: 2023-01-01
Incident : Data Exposure US-4641646100525
Source: SentinelOne - Cloud Misconfiguration Prevention
URL: https://www.sentinelone.com/blog/cloud-misconfigurations/
Incident : Data Exposure US-4641646100525
Source: SecPod - Top 10 Cloud Misconfigurations
URL: https://www.secpod.com/blog/top-cloud-misconfigurations/
Incident : social engineering US-5985259112625
Source: FBI Public Service Announcement (PSA)
URL: https://www.ic3.gov
Where can stakeholders find additional resources on cybersecurity best practices ?
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Motherboard, and Source: DHS Memo, and Source: AFP, and Source: WIRED, and Source: Freedom of Information Act (FOIA) request (Brennan Center for Justice), and Source: DHS internal memo (obtained via FOIA), and Source: WIREDUrl: https://www.wired.com/story/dhs-data-hub-exposed-sensitive-intel-unauthorized-users/Date Accessed: 2023-06-01, and Source: Jeremiah Fowler (Cybersecurity Researcher)Date Accessed: 2025-06-01, and Source: Wiz Academy - Top 11 Cloud Security VulnerabilitiesUrl: https://www.wiz.io/academy/top-cloud-vulnerabilities, and Source: CrowdStrike - Common Cloud MisconfigurationsUrl: https://www.crowdstrike.com/blog/common-cloud-misconfigurations/Date Accessed: 2023-01-01, and Source: SentinelOne - Cloud Misconfiguration PreventionUrl: https://www.sentinelone.com/blog/cloud-misconfigurations/, and Source: SecPod - Top 10 Cloud MisconfigurationsUrl: https://www.secpod.com/blog/top-cloud-misconfigurations/, and Source: FBI Public Service Announcement (PSA)Url: https://www.ic3.gov.
Investigation Status
What is the current status of the investigation for each incident ?
Incident : Ransomware US-341071125
Investigation Status: Ongoing
Incident : data leak US-4992949091625
Investigation Status: completed (internal DHS inquiry documented in memo)
Incident : Data Exposure US-4641646100525
Investigation Status: ['DHS Internal Inquiry Completed (2023)', '2025 Breach Under Investigation']
Incident : social engineering US-5985259112625
Investigation Status: ongoing
How does the company communicate the status of incident investigations to stakeholders ?
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Foia Disclosure (Dhs Memo), Media Reports (Wired), Fbi Psa, Media Outreach and Direct Warnings To Potential Targets.
Stakeholder and Customer Advisories
Were there any advisories issued to stakeholders or customers for each incident ?
Incident : Data Exposure US-4641646100525
Stakeholder Advisories: Foia Memo (Dhs), Media Statements.
Customer Advisories: None (DHS)Recommended Password Resets for 184M Affected Users (2025 Breach)
Incident : social engineering US-5985259112625
Stakeholder Advisories: Fbi Psa Warning Senior Officials And Their Contacts, Recommendations For Public Vigilance.
Customer Advisories: General public alert via mediadirect outreach to potential high-value targets
What advisories does the company provide to stakeholders and customers following an incident ?
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: were Foia Memo (Dhs), Media Statements, None (Dhs), Recommended Password Resets For 184M Affected Users (2025 Breach), , Fbi Psa Warning Senior Officials And Their Contacts, Recommendations For Public Vigilance, General Public Alert Via Media, Direct Outreach To Potential High-Value Targets and .
Initial Access Broker
How did the initial access broker gain entry for each incident ?
Incident : Data Breach USD181261023
Entry Point: Email Account
Incident : Data Exposure US-4641646100525
Entry Point: Misconfigured Hsin-Intel Platform (Dhs), Unsecured Database (2025 Breach),
High Value Targets: Intelligence Data (Dhs), User Credentials (2025 Breach),
Data Sold on Dark Web: Intelligence Data (Dhs), User Credentials (2025 Breach),
Incident : social engineering US-5985259112625
Entry Point: Sms/Mms Messages, Voice Calls/Voicemails, Fake Messaging Platforms,
High Value Targets: Senior U.S. Government Officials (Current/Former), Their Personal/Professional Contacts,
Data Sold on Dark Web: Senior U.S. Government Officials (Current/Former), Their Personal/Professional Contacts,
Post-Incident Analysis
What were the root causes and corrective actions taken for each incident ?
Incident : Physical Security Threat US-001010525
Root Causes: Lack of adequate detection and response capabilities for drone threats
Corrective Actions: Improve Detection And Response Capabilities, Enhance Local Law Enforcement Training, Deploy Advanced Technologies To Mitigate Drone Threats,
Incident : data leak US-4992949091625
Root Causes: Misconfiguration Of Hsin-Intel Access Controls (Set To 'Everyone'), Inadequate Access Review Processes,
Incident : Data Exposure US-4641646100525
Root Causes: Overly Permissive Iam Policies ('Everyone' Access)., Lack Of Network Segmentation (Dhs)., Disabled Logging/Missing Alerts (No Detection Of Unauthorized Access)., Human Error In Access Configuration (Hsin-Intel)., Plain-Text Storage Of Credentials (2025 Breach)., Complex Cloud Architectures Without Adequate Governance., Shadow It/Unmonitored Accounts (Potential Factor)., Inadequate Policy-As-Code Enforcement.,
Corrective Actions: Revised Iam Policies With Least-Privilege Principles., Implemented Network Segmentation For Hsin Platforms., Enabled Centralized Logging And Monitoring (Dhs)., Mandated Encryption For Sensitive Data (Post-2025 Breach)., Conducted Staff Training On Secure Cloud Configurations., Deployed Automated Misconfiguration Detection Tools., Established Regular Audits For Public-Facing Resources.,
Incident : social engineering US-5985259112625
Root Causes: Over-Reliance On Trust In Digital Communications, Lack Of Widespread Mfa Adoption, Public Exposure Of Personal/Professional Details (E.G., Linkedin, Government Directories), Limited Public Awareness Of Ai-Generated Scam Tactics, Delayed Reporting Of Suspicious Activity,
Corrective Actions: Fbi-Led Awareness Campaigns Targeting High-Risk Groups, Encouragement Of Mfa Adoption And Password Hygiene, Development Of Ai-Detection Tools For Voice/Video Calls, Policy Changes To Limit Public Exposure Of Official Contact Details, Enhanced Collaboration Between Government Agencies And Tech Platforms To Disrupt Scam Infrastructure,
What is the company's process for conducting post-incident analysis ?
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Recommended As Corrective Action, , Recommendation For Individuals To Monitor Accounts, .
What corrective actions has the company taken based on post-incident analysis ?
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Improve Detection And Response Capabilities, Enhance Local Law Enforcement Training, Deploy Advanced Technologies To Mitigate Drone Threats, , Revised Iam Policies With Least-Privilege Principles., Implemented Network Segmentation For Hsin Platforms., Enabled Centralized Logging And Monitoring (Dhs)., Mandated Encryption For Sensitive Data (Post-2025 Breach)., Conducted Staff Training On Secure Cloud Configurations., Deployed Automated Misconfiguration Detection Tools., Established Regular Audits For Public-Facing Resources., , Fbi-Led Awareness Campaigns Targeting High-Risk Groups, Encouragement Of Mfa Adoption And Password Hygiene, Development Of Ai-Detection Tools For Voice/Video Calls, Policy Changes To Limit Public Exposure Of Official Contact Details, Enhanced Collaboration Between Government Agencies And Tech Platforms To Disrupt Scam Infrastructure, .
Additional Questions
General Information
Who was the attacking group in the last incident ?
Last Attacking Group: The attacking group in the last incident were an Hacker, Extremists, Violent Extremists and Unnamed Ransomware Gang.
Incident Details
What was the most recent incident detected ?
Most Recent Incident Detected: The most recent incident detected was on 2023-06-21.
What was the most recent incident publicly disclosed ?
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2023-06-01.
Impact of the Incidents
What was the most significant data compromised in an incident ?
Most Significant Data Compromised: The most significant data compromised in an incident were 200GB of data, including records of 20,000 FBI workers and 9,000 DHS employees, Information about DHS security experts, programme analysts, IT, infosec, and security, as well as 100 individuals who hold the title of intelligence, , Employee names, Social Security numbers, Dates of birth, Positions, Grades, Duty locations, , law enforcement leads and tips, reports on foreign hacking and disinformation campaigns, analysis of domestic protest movements (e.g., Stop Cop City protests in Atlanta), cybersecurity intelligence (39% of exposed products), media reports praising violent actions against police, , Sensitive Intelligence (DHS), 184M User Records (2025 Breach), Plain-Text Credentials (Apple, Google, Meta, etc.), Bank Accounts, Health Platforms, Government Portals, , personal information, login credentials, contact lists, potentially sensitive government communications and .
What was the most significant system affected in an incident ?
Most Significant System Affected: The most significant system affected in an incident was DHS OIG Case Management System and Homeland Security Information Network-Intelligence (HSIN-Intel) platform and HSIN-Intel Platform (DHS)Unsecured Database (2025 Breach).
Response to the Incidents
What containment measures were taken in the most recent incident ?
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were Improved detection and response capabilitiesLocal law enforcement trainingTechnology deployment, Repositioning CCTVTraining police to handle hazardous drones and public service announcement (PSA)awareness campaignreporting via IC3 (Internet Crime Complaint Center).
Data Breach Information
What was the most sensitive data compromised in a breach ?
Most Sensitive Data Compromised: The most sensitive data compromised in a breach were 184M User Records (2025 Breach), Information about DHS security experts, programme analysts, IT, infosec, and security, as well as 100 individuals who hold the title of intelligence, Bank Accounts, contact lists, Grades, Social Security numbers, personal information, Sensitive Intelligence (DHS), Duty locations, law enforcement leads and tips, Plain-Text Credentials (Apple, Google, Meta, etc.), cybersecurity intelligence (39% of exposed products), reports on foreign hacking and disinformation campaigns, Positions, Dates of birth, potentially sensitive government communications, analysis of domestic protest movements (e.g., Stop Cop City protests in Atlanta), login credentials, 200GB of data, including records of 20,000 FBI workers and 9,000 DHS employees, Government Portals, Employee names, media reports praising violent actions against police and Health Platforms.
What was the number of records exposed in the most significant breach ?
Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 184.0M.
Regulatory Compliance
What was the most significant legal action taken for a regulatory violation ?
Most Significant Legal Action: The most significant legal action taken for a regulatory violation was Pending Extradition to the US.
Lessons Learned and Recommendations
What was the most significant lesson learned from past incidents ?
Most Significant Lesson Learned: The most significant lesson learned from past incidents was Proactive communication from authorities can mitigate large-scale campaigns.
What was the most significant recommendation implemented to improve cybersecurity ?
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Encrypt **data at rest and in transit** (avoid plain-text storage)., Train staff on **secure cloud deployment practices** (e.g., Infrastructure as Code templates)., Training police on handling hazardous drones, Enable **centralized logging and monitoring** with context-aware alerts., Improve detection and response capabilities, Repositioning CCTV cameras, Conduct **regular audits** of public-facing storage (buckets, databases, APIs)., Prioritize **human-centric security** (training, process improvements) alongside technical controls., Implement **least-privilege access** and **just-in-time permissions** for IAM roles., Use **automated policy-as-code tools** (e.g., Terraform, Open Policy Agent) to prevent drift., Segment networks to **limit lateral movement** in case of breaches., Address **shadow IT** with discovery tools and governance policies., Deploying sensors for drone detection, Enhance local law enforcement training, Deploy advanced technologies to mitigate drone threats and Enforce **multi-factor authentication (MFA)** on all admin accounts..
References
What is the most recent source of information about an incident ?
Most Recent Source: The most recent source of information about an incident are WIRED, Jeremiah Fowler (Cybersecurity Researcher), Motherboard, DHS Memo, Wiz Academy - Top 11 Cloud Security Vulnerabilities, SecPod - Top 10 Cloud Misconfigurations, SentinelOne - Cloud Misconfiguration Prevention, CrowdStrike - Common Cloud Misconfigurations, FBI Public Service Announcement (PSA), Freedom of Information Act (FOIA) request (Brennan Center for Justice), AFP and DHS internal memo (obtained via FOIA).
What is the most recent URL for additional resources on cybersecurity best practices ?
Most Recent URL for Additional Resources: The most recent URL for additional resources on cybersecurity best practices is https://www.wired.com/story/dhs-data-hub-exposed-sensitive-intel-unauthorized-users/, https://www.wiz.io/academy/top-cloud-vulnerabilities, https://www.crowdstrike.com/blog/common-cloud-misconfigurations/, https://www.sentinelone.com/blog/cloud-misconfigurations/, https://www.secpod.com/blog/top-cloud-misconfigurations/, https://www.ic3.gov .
Investigation Status
What is the current status of the most recent investigation ?
Current Status of Most Recent Investigation: The current status of the most recent investigation is Ongoing.
Stakeholder and Customer Advisories
What was the most recent stakeholder advisory issued ?
Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was FOIA Memo (DHS), Media Statements, FBI PSA warning senior officials and their contacts, recommendations for public vigilance, .
What was the most recent customer advisory issued ?
Most Recent Customer Advisory: The most recent customer advisory issued were an None (DHS)Recommended Password Resets for 184M Affected Users (2025 Breach) and General public alert via mediadirect outreach to potential high-value targets.
Initial Access Broker
What was the most recent entry point used by an initial access broker ?
Most Recent Entry Point: The most recent entry point used by an initial access broker was an Email Account.
Post-Incident Analysis
What was the most significant root cause identified in post-incident analysis ?
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Lack of adequate detection and response capabilities for drone threats, misconfiguration of HSIN-Intel access controls (set to 'everyone')inadequate access review processes, Overly permissive IAM policies ('everyone' access).Lack of network segmentation (DHS).Disabled logging/missing alerts (no detection of unauthorized access).Human error in access configuration (HSIN-Intel).Plain-text storage of credentials (2025 Breach).Complex cloud architectures without adequate governance.Shadow IT/unmonitored accounts (potential factor).Inadequate policy-as-code enforcement., Over-reliance on trust in digital communicationsLack of widespread MFA adoptionPublic exposure of personal/professional details (e.g., LinkedIn, government directories)Limited public awareness of AI-generated scam tacticsDelayed reporting of suspicious activity.
What was the most significant corrective action taken based on post-incident analysis ?
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was Improve detection and response capabilitiesEnhance local law enforcement trainingDeploy advanced technologies to mitigate drone threats, Revised IAM policies with least-privilege principles.Implemented network segmentation for HSIN platforms.Enabled centralized logging and monitoring (DHS).Mandated encryption for sensitive data (post-2025 Breach).Conducted staff training on secure cloud configurations.Deployed automated misconfiguration detection tools.Established regular audits for public-facing resources., FBI-led awareness campaigns targeting high-risk groupsEncouragement of MFA adoption and password hygieneDevelopment of AI-detection tools for voice/video callsPolicy changes to limit public exposure of official contact detailsEnhanced collaboration between government agencies and tech platforms to disrupt scam infrastructure.
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Latest Global CVEs (Not Company-Specific)
Description
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.
Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
References
- https://github.com/angular/angular/commit/0276479e7d0e280e0f8d26fa567d3b7aa97a516f
- https://github.com/angular/angular/commit/05fe6686a97fa0bcd3cf157805b3612033f975bc
- https://github.com/angular/angular/commit/3240d856d942727372a705252f7c8c115394a41e
- https://github.com/angular/angular/releases/tag/19.2.16
- https://github.com/angular/angular/releases/tag/20.3.14
- https://github.com/angular/angular/releases/tag/21.0.1
- https://github.com/angular/angular/security/advisories/GHSA-58c5-g7wp-6w37
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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Incident
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