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NTT DATA – a part of NTT Group – IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. NTT DATA enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.

NTT DATA A.I CyberSecurity Scoring

NTT DATA

Company Details

Linkedin ID:

nttdata

Employees number:

41,195

Number of followers:

817,386

NAICS:

5415

Industry Type:

IT Services and IT Consulting

Homepage:

nttdata.com

IP Addresses:

0

Company ID:

NTT_2278811

Scan Status:

In-progress

AI scoreNTT DATA Risk Score (AI oriented)

Between 750 and 799

https://images.rankiteo.com/companyimages/nttdata.jpeg
NTT DATA IT Services and IT Consulting
Updated:
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globalscoreNTT DATA Global Score (TPRM)

XXXX

https://images.rankiteo.com/companyimages/nttdata.jpeg
NTT DATA IT Services and IT Consulting
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NTT DATA Company CyberSecurity News & History

Past Incidents
1
Attack Types
1
EntityTypeSeverityImpactSeenBlog DetailsIncident DetailsView
NTT Data (via Vectorform subsidiary)Cyber Attack8546/2022
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: The cybercrime group **Coinbase Cartel** targeted **NTT Data**, a Japanese IT services giant, by exploiting vulnerabilities in its US subsidiary **Vectorform** (acquired in 2022). The attack involved **large-scale data exfiltration** without encryption, leveraging exposed credentials in cloud repositories (e.g., AWS, GitHub) and potential insider assistance. While NTT Data denied a direct breach, Vectorform’s systems were compromised, with sensitive operational, client, or proprietary data stolen. Coinbase Cartel employed a **‘leak-only’ ransomware model**, threatening public disclosure to extort payment while avoiding system disruption. The stolen data—likely including logistics, supply chain, or corporate intelligence—poses **reputational, legal, and financial risks**, particularly given the transportation/logistics sector’s reliance on third-party integrations (TMS, WMS, EDI). The breach underscores vulnerabilities in **vendor access controls, credential hygiene, and segmentation**, with the group staging leaks to pressure negotiations. No encryption occurred, but the **theft of high-value data** exposes NTT Data to regulatory scrutiny, customer distrust, and potential litigation, especially if client or employee records were exposed.

NTT Data (via Vectorform subsidiary)
Cyber Attack
Severity: 85
Impact: 4
Seen: 6/2022
Blog:
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: The cybercrime group **Coinbase Cartel** targeted **NTT Data**, a Japanese IT services giant, by exploiting vulnerabilities in its US subsidiary **Vectorform** (acquired in 2022). The attack involved **large-scale data exfiltration** without encryption, leveraging exposed credentials in cloud repositories (e.g., AWS, GitHub) and potential insider assistance. While NTT Data denied a direct breach, Vectorform’s systems were compromised, with sensitive operational, client, or proprietary data stolen. Coinbase Cartel employed a **‘leak-only’ ransomware model**, threatening public disclosure to extort payment while avoiding system disruption. The stolen data—likely including logistics, supply chain, or corporate intelligence—poses **reputational, legal, and financial risks**, particularly given the transportation/logistics sector’s reliance on third-party integrations (TMS, WMS, EDI). The breach underscores vulnerabilities in **vendor access controls, credential hygiene, and segmentation**, with the group staging leaks to pressure negotiations. No encryption occurred, but the **theft of high-value data** exposes NTT Data to regulatory scrutiny, customer distrust, and potential litigation, especially if client or employee records were exposed.

Ailogo

NTT DATA Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

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Incident Predictions locked
Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

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A.I. Risk Score Predictions locked
Access Monitoring Plan
statics

Underwriter Stats for NTT DATA

Incidents vs IT Services and IT Consulting Industry Average (This Year)

No incidents recorded for NTT DATA in 2025.

Incidents vs All-Companies Average (This Year)

No incidents recorded for NTT DATA in 2025.

Incident Types NTT DATA vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for NTT DATA in 2025.

Incident History — NTT DATA (X = Date, Y = Severity)

NTT DATA cyber incidents detection timeline including parent company and subsidiaries

NTT DATA Company Subsidiaries

SubsidiaryImage

NTT DATA – a part of NTT Group – IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. NTT DATA enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.

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newsone

NTT DATA CyberSecurity News

November 19, 2025 12:27 PM
Inside NTT DATA’s Global IP Network: Driving Global Connectivity and Innovation

At Capacity Europe 2025, NTT DATA's Michael Wheeler discusses the power of the company's global backbone, the challenges of managing a...

November 12, 2025 08:00 AM
Cummins & NTT: Powering The Future Of Data Centres

Cummins' Dawn Wehr explains how partnerships and innovation are key to meeting AI's ever-growing demand for reliable, sustainable back-up...

October 29, 2025 10:07 AM
Cloud security explained: How to prevent breaches

Cloud misconfigurations and visibility gaps often lead to breaches. In this expert Q&A, we explain how to minimize risk and enforce zero trust in hybrid...

October 21, 2025 06:27 AM
Ready, set, AI: How to build a secure network infrastructure for success

NTT DATA and Cisco's secure network infrastructure solutions support your organization's AI ambitions and protect against emerging threats.

October 21, 2025 06:27 AM
From laptop to cloud, SASE is the answer to your security woes

With a SASE solution by NTT DATA and Palo Alto Networks, your network has never been more secure and easier to manage.

October 19, 2025 07:00 AM
Global Partnership Launches Cryptography-as-a-Service For Post-Quantum And AI Security

NTT DATA, a global provider of digital business and technology services, has partnered with Fortanix Inc, a leader in data security for AI...

October 15, 2025 07:00 AM
NTT DATA, Fortanix Partner to Deliver Crypto-Agile Security Across AI and Multicloud Environments

The partnership introduces Cryptography-as-a-Service to help enterprises secure data across AI, hybrid, and multicloud environments while...

October 14, 2025 07:00 AM
NTT DATA and Fortanix Announce Global Partnership to Strengthen Security in the AI and Post-Quantum Era

New Cryptography-as-a-Service offering equips enterprises to combat today's cybersecurity threats and prepare for tomorrow's quantum risks.

October 14, 2025 07:00 AM
NTT DATA and Fortanix join forces to secure sensitive data

NTT DATA and Fortanix launch collaboration for crypto security service that prepares companies for quantum threats and secures AI...

faq

Frequently Asked Questions

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.

NTT DATA CyberSecurity History Information

Official Website of NTT DATA

The official website of NTT DATA is http://www.nttdata.com.

NTT DATA’s AI-Generated Cybersecurity Score

According to Rankiteo, NTT DATA’s AI-generated cybersecurity score is 799, reflecting their Fair security posture.

How many security badges does NTT DATA’ have ?

According to Rankiteo, NTT DATA currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Does NTT DATA have SOC 2 Type 1 certification ?

According to Rankiteo, NTT DATA is not certified under SOC 2 Type 1.

Does NTT DATA have SOC 2 Type 2 certification ?

According to Rankiteo, NTT DATA does not hold a SOC 2 Type 2 certification.

Does NTT DATA comply with GDPR ?

According to Rankiteo, NTT DATA is not listed as GDPR compliant.

Does NTT DATA have PCI DSS certification ?

According to Rankiteo, NTT DATA does not currently maintain PCI DSS compliance.

Does NTT DATA comply with HIPAA ?

According to Rankiteo, NTT DATA is not compliant with HIPAA regulations.

Does NTT DATA have ISO 27001 certification ?

According to Rankiteo,NTT DATA is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Industry Classification of NTT DATA

NTT DATA operates primarily in the IT Services and IT Consulting industry.

Number of Employees at NTT DATA

NTT DATA employs approximately 41,195 people worldwide.

Subsidiaries Owned by NTT DATA

NTT DATA presently has no subsidiaries across any sectors.

NTT DATA’s LinkedIn Followers

NTT DATA’s official LinkedIn profile has approximately 817,386 followers.

NAICS Classification of NTT DATA

NTT DATA is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

NTT DATA’s Presence on Crunchbase

No, NTT DATA does not have a profile on Crunchbase.

NTT DATA’s Presence on LinkedIn

Yes, NTT DATA maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/nttdata.

Cybersecurity Incidents Involving NTT DATA

As of December 10, 2025, Rankiteo reports that NTT DATA has experienced 1 cybersecurity incidents.

Number of Peer and Competitor Companies

NTT DATA has an estimated 37,378 peer or competitor companies worldwide.

What types of cybersecurity incidents have occurred at NTT DATA ?

Incident Types: The types of cybersecurity incidents that have occurred include Cyber Attack.

How does NTT DATA detect and respond to cybersecurity incidents ?

Detection and Response: The company detects and responds to cybersecurity incidents through an containment measures with enforce least-privilege access for tms/wms/edi systems, containment measures with disable legacy email protocols (imap/pop3), containment measures with implement phishing-resistant mfa, and remediation measures with deploy data loss prevention (dlp) for microsoft 365/google drive/email, remediation measures with monitor/block mass downloads via service accounts, remediation measures with configure alerts for mailbox forwarding rules and bulk compression, remediation measures with enhance edr coverage for admin/remote hosts, and network segmentation with recommended to limit lateral movement, and enhanced monitoring with behavioral analytics for anomalies, enhanced monitoring with oauth grant monitoring..

Incident Details

Can you provide details on each incident ?

Incident : Data Breach

Title: Coinbase Cartel Data Exfiltration Campaign Targeting Transportation and Logistics Sectors

Description: A new cybercrime group, 'Coinbase Cartel,' has emerged with a focus on data exfiltration (leak-only model) rather than traditional ransomware encryption. The group targets transportation, logistics, and adjacent sectors, exploiting exposed credentials, insider threats, and weak segmentation to steal high-value operational and shipment data. Victims are pressured through staged data leaks and extortion threats, with no disruption to operations, making detection difficult. Confirmed or claimed victims include NTT Data (potentially via subsidiary Vectorform). The group operates with a 'business-like' approach, including partnerships with insiders and staged evidence packages.

Date Detected: 2023-09-15

Date Publicly Disclosed: 2023-09-15

Type: Data Breach

Attack Vector: Exploiting exposed/hard-coded credentials in cloud/source code repositories (AWS, Bitbucket, GitHub)Insider-assisted accessWeak network segmentationThird-party vendor compromises (e.g., TMS, WMS, EDI systems)Staged data leaks for extortion pressure

Vulnerability Exploited: Poor credential hygiene (hard-coded/exposed credentials)Lack of least-privilege access controlsAbsence of phishing-resistant MFAUnmonitored mass data downloads/email exfiltrationLegacy email protocols (IMAP/POP3)Insufficient DLP and behavioral analytics

Threat Actor: Coinbase Cartel

Motivation: Financial Gain (Extortion)Reputational DamageOperational Disruption (via data leaks)

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 Cyber Attack.

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 Exposed credentials in cloud repositoriesInsider access (crowdsourced)Third-party vendor compromises (e.g. and Vectorform).

Impact of the Incidents

What was the impact of each incident ?

Incident : Data Breach NTT0902709102325

Data Compromised: Operational data, Shipment data, High-value corporate data (potentially pii)

Systems Affected: Transportation Management Systems (TMS)Warehouse Management Systems (WMS)EDI linksCloud repositories (AWS, Bitbucket, GitHub)Email systems (Microsoft 365, Google Drive)

Downtime: None (no encryption or operational disruption)

Operational Impact: Reputational risk from staged data leaksLegal/regulatory exposurePotential supply chain disruptions if vendor data is compromised

Brand Reputation Impact: High (public extortion threats and staged leaks)Loss of trust in supply chain integrity

Legal Liabilities: Potential GDPR/CCPA violations if PII is exposedContractual breaches with third-party vendors

Identity Theft Risk: Possible (if PII is exfiltrated)

What types of data are most commonly compromised in incidents ?

Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Operational Data, Shipment Data, Source Code (Potential), Corporate Emails, Potentially Pii and .

Which entities were affected by each incident ?

Incident : Data Breach NTT0902709102325

Entity Name: NTT Data

Entity Type: IT Services

Industry: Technology

Location: Japan (global operations)

Size: Large enterprise

Incident : Data Breach NTT0902709102325

Entity Name: Vectorform (subsidiary of NTT Data)

Entity Type: IT Services/Software Development

Industry: Technology

Location: United States

Incident : Data Breach NTT0902709102325

Entity Name: Unnamed transportation/logistics companies (multiple continents)

Entity Type: 3PL Providers, Carriers, Brokers, Customs Agents

Industry: Transportation and Logistics

Location: Global

Response to the Incidents

What measures were taken in response to each incident ?

Incident : Data Breach NTT0902709102325

Containment Measures: Enforce least-privilege access for TMS/WMS/EDI systemsDisable legacy email protocols (IMAP/POP3)Implement phishing-resistant MFA

Remediation Measures: Deploy Data Loss Prevention (DLP) for Microsoft 365/Google Drive/emailMonitor/block mass downloads via service accountsConfigure alerts for mailbox forwarding rules and bulk compressionEnhance EDR coverage for admin/remote hosts

Network Segmentation: ['Recommended to limit lateral movement']

Enhanced Monitoring: Behavioral analytics for anomaliesOAuth grant monitoring

Data Breach Information

What type of data was compromised in each breach ?

Incident : Data Breach NTT0902709102325

Type of Data Compromised: Operational data, Shipment data, Source code (potential), Corporate emails, Potentially pii

Sensitivity of Data: High (operational integrity, supply chain data)

Data Exfiltration: Confirmed (staged leaks)Mass downloads via cloud/email

Data Encryption: None (leak-only model)

File Types Exposed: ZIP archives (bulk compression)EmailsDatabase exportsSource code

Personally Identifiable Information: Possible (not confirmed)

What measures does the company take to prevent data exfiltration ?

Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Deploy Data Loss Prevention (DLP) for Microsoft 365/Google Drive/email, Monitor/block mass downloads via service accounts, Configure alerts for mailbox forwarding rules and bulk compression, Enhance EDR coverage for admin/remote hosts, .

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 enforce least-privilege access for tms/wms/edi systems, disable legacy email protocols (imap/pop3), implement phishing-resistant mfa and .

Ransomware Information

Was ransomware involved in any of the incidents ?

Incident : Data Breach NTT0902709102325

Ransomware Strain: N/A (leak-only, no encryption)

Data Encryption: None

Data Exfiltration: Primary tactic

Regulatory Compliance

Were there any regulatory violations and fines imposed for each incident ?

Incident : Data Breach NTT0902709102325

Regulations Violated: Potential GDPR (if EU data exposed), CCPA (if California residents affected), Industry-specific data protection laws,

Lessons Learned and Recommendations

What lessons were learned from each incident ?

Incident : Data Breach NTT0902709102325

Lessons Learned: Leak-only extortion models bypass traditional ransomware defenses (no encryption = no operational disruption but high reputational risk)., Third-party vendors (e.g., Vectorform) can serve as attack vectors for larger targets (e.g., NTT Data)., Insider threats are actively crowdsourced by groups like Coinbase Cartel., Complex supply chains (transportation/logistics) create expansive attack surfaces.

What recommendations were made to prevent future incidents ?

Incident : Data Breach NTT0902709102325

Recommendations: Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks.

What are the key lessons learned from past incidents ?

Key Lessons Learned: The key lessons learned from past incidents are Leak-only extortion models bypass traditional ransomware defenses (no encryption = no operational disruption but high reputational risk).,Third-party vendors (e.g., Vectorform) can serve as attack vectors for larger targets (e.g., NTT Data).,Insider threats are actively crowdsourced by groups like Coinbase Cartel.,Complex supply chains (transportation/logistics) create expansive attack surfaces.

References

Where can I find more information about each incident ?

Incident : Data Breach NTT0902709102325

Source: Media investigation (unnamed)

Incident : Data Breach NTT0902709102325

Source: Coinbase Cartel darknet leak site

Incident : Data Breach NTT0902709102325

Source: NTT Data public statement (denial of confirmed breach)

Where can stakeholders find additional resources on cybersecurity best practices ?

Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Media investigation (unnamed), and Source: Coinbase Cartel darknet leak site, and Source: NTT Data public statement (denial of confirmed breach).

Investigation Status

What is the current status of the investigation for each incident ?

Incident : Data Breach NTT0902709102325

Investigation Status: Ongoing (group active as of latest reports)

Initial Access Broker

How did the initial access broker gain entry for each incident ?

Incident : Data Breach NTT0902709102325

Entry Point: Exposed Credentials In Cloud Repositories, Insider Access (Crowdsourced), Third-Party Vendor Compromises (E.G., Vectorform),

High Value Targets: Tms/Wms/Edi Systems, Supply Chain Data, Corporate Emails,

Data Sold on Dark Web: Tms/Wms/Edi Systems, Supply Chain Data, Corporate Emails,

Post-Incident Analysis

What were the root causes and corrective actions taken for each incident ?

Incident : Data Breach NTT0902709102325

Root Causes: Poor Credential Management (Hard-Coded/Exposed Credentials In Repositories)., Lack Of Segmentation Between Subsidiaries (E.G., Vectorform → Ntt Data)., Insufficient Monitoring For Data Exfiltration (No Dlp/Behavioral Alerts)., Over-Reliance On Third-Party Vendors With Weak Security Postures.,

Corrective Actions: Mandate Mfa And Least-Privilege Access For All Systems., Isolate High-Value Systems (Tms/Wms) From Third-Party Networks., Deploy Dlp And Edr With Behavioral Analytics For Exfiltration Detection., Audit Cloud Repositories For Exposed Credentials.,

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 Behavioral Analytics For Anomalies, Oauth Grant Monitoring, .

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: Mandate Mfa And Least-Privilege Access For All Systems., Isolate High-Value Systems (Tms/Wms) From Third-Party Networks., Deploy Dlp And Edr With Behavioral Analytics For Exfiltration Detection., Audit Cloud Repositories For Exposed Credentials., .

Additional Questions

General Information

Who was the attacking group in the last incident ?

Last Attacking Group: The attacking group in the last incident was an Coinbase Cartel.

Incident Details

What was the most recent incident detected ?

Most Recent Incident Detected: The most recent incident detected was on 2023-09-15.

What was the most recent incident publicly disclosed ?

Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2023-09-15.

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 Operational data, Shipment data, High-value corporate data (potentially PII) and .

What was the most significant system affected in an incident ?

Most Significant System Affected: The most significant system affected in an incident were Transportation Management Systems (TMS)Warehouse Management Systems (WMS)EDI linksCloud repositories (AWS, Bitbucket, GitHub)Email systems (Microsoft 365, Google Drive).

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 was Enforce least-privilege access for TMS/WMS/EDI systemsDisable legacy email protocols (IMAP/POP3)Implement phishing-resistant MFA.

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 Operational data, High-value corporate data (potentially PII) and Shipment data.

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 Complex supply chains (transportation/logistics) create expansive attack surfaces.

What was the most significant recommendation implemented to improve cybersecurity ?

Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Monitor for anomalies like bulk ZIP file creation, OAuth abuses, and mailbox forwarding rules., Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements). and Implement DLP controls to prevent mass data exfiltration via email/cloud services..

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 NTT Data public statement (denial of confirmed breach), Coinbase Cartel darknet leak site and Media investigation (unnamed).

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 (group active as of latest reports).

Initial Access Broker

cve

Latest Global CVEs (Not Company-Specific)

Description

WeGIA is an open source Web Manager for Institutions with a focus on Portuguese language users. Versions 3.5.4 and below contain a Stored Cross-Site Scripting (XSS) vulnerability in the /WeGIA/html/geral/configurar_senhas.php endpoint. The application does not sanitize user-controlled data before rendering it inside the employee selection dropdown. The application retrieves employee names from the database and injects them directly into HTML <option> elements without proper escaping. This issue is fixed in version 3.5.5.

Risk Information
cvss3
Base: 4.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
Description

ZITADEL is an open-source identity infrastructure tool. Versions 4.0.0-rc.1 through 4.7.0 are vulnerable to DOM-Based XSS through the Zitadel V2 logout endpoint. The /logout endpoint insecurely routes to a value that is supplied in the post_logout_redirect GET parameter. As a result, unauthenticated remote attacker can execute malicious JS code on Zitadel users’ browsers. To carry out an attack, multiple user sessions need to be active in the same browser, however, account takeover is mitigated when using Multi-Factor Authentication (MFA) or Passwordless authentication. This issue is fixed in version 4.7.1.

Risk Information
cvss3
Base: 8.0
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N
Description

ZITADEL is an open-source identity infrastructure tool. Versions 4.7.0 and below are vulnerable to an unauthenticated, full-read SSRF vulnerability. The ZITADEL Login UI (V2) treats the x-zitadel-forward-host header as a trusted fallback for all deployments, including self-hosted instances. This allows an unauthenticated attacker to force the server to make HTTP requests to arbitrary domains, such as internal addresses, and read the responses, enabling data exfiltration and bypassing network-segmentation controls. This issue is fixed in version 4.7.1.

Risk Information
cvss3
Base: 9.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
Description

NiceGUI is a Python-based UI framework. Versions 3.3.1 and below are vulnerable to directory traversal through the App.add_media_files() function, which allows a remote attacker to read arbitrary files on the server filesystem. This issue is fixed in version 3.4.0.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Description

FreePBX Endpoint Manager is a module for managing telephony endpoints in FreePBX systems. Versions are vulnerable to authentication bypass when the authentication type is set to "webserver." When providing an Authorization header with an arbitrary value, a session is associated with the target user regardless of valid credentials. This issue is fixed in versions 16.0.44 and 17.0.23.

Risk Information
cvss4
Base: 9.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/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

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