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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:

45,150

Number of followers:

848,019

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 800 and 849

https://images.rankiteo.com/companyimages/nttdata.jpeg
NTT DATA IT Services and IT Consulting
Updated:
  • Powered by our proprietary A.I cyber incident model
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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 DetailsSupply Chain SourceIncident DetailsView
NTT DATACyber Attack8546/2022NA
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:
Supply Chain Source: NA
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 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for NTT DATA in 2026.

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

No incidents recorded for NTT DATA in 2026.

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

January 16, 2026 06:35 AM
Cyber Frontiers 2026: A new era of cyber risk

Bringing together cybersecurity practitioners, academics and innovators to redefine today's cyber frontiers and prepare for tomorrow.

January 15, 2026 02:46 PM
Cyber Frontiers: A new magazine about cybersecurity

Cybersecurity has become the heartbeat of digital trust, and NTT DATA's new Cyber Frontiers magazine is helping organizations navigate the...

January 09, 2026 03:44 AM
Why your cybersecurity spend isn't delivering ROI

Despite rising cybersecurity budgets, organizations still face breaches because their spending lacks strategy, integration and alignment with business...

December 18, 2025 08:00 AM
NTT DATA Group (OTCPK:NTDT.Y): Valuation Check After New AI Subsidiary, CEO Appointment and Cybersecurity Expansion

NTT DATA Group (OTCPK:NTDT.Y) just laid out a clear AI playbook by spinning up NTT DATA AIVista in Silicon Valley, naming seasoned AI...

December 17, 2025 07:27 AM
NTT DATA helps defense organizations modernize and scale securely

As geopolitical tensions continue to reshape the global security landscape, defense manufacturers face increasing pressure to modernize...

December 11, 2025 06:54 AM
Modern business resilience: A framework for continuous readiness

A new report shows how agile, adaptive resilience strategies can help your organization stay secure and turn proactive measures into lasting momentum.

December 10, 2025 08:00 AM
NTT DATA unveils new AI-powered Cyber Defence Centres to strengthen security against AI-enabled threats

NTT DATA launches four AI-powered autonomous Cyber Defense Centers, now operational in Bengaluru, Hyderabad, Noida, and Mumbai.

December 08, 2025 08:00 AM
NTT DATA expands AI cyberdefense footprint with six new global centers

NTT DATA is ramping up its security operations for the AI era, announcing six new AI-powered Cyber Defense Centers spanning India, the UK,...

December 04, 2025 08:00 AM
Why business leaders need to focus on digital trust

NTT DATA has partnered with The Australian to show how businesses can make strategic technology decisions for their future.

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 800, reflecting their Good 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.

Has NTT DATA been affected by any supply chain cyber incidents ?

According to Rankiteo, NTT DATA has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed 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 45,150 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 848,019 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 January 25, 2026, Rankiteo reports that NTT DATA has experienced 1 cybersecurity incidents.

Number of Peer and Competitor Companies

NTT DATA has an estimated 38,512 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 High-value corporate data (potentially PII), Shipment data and Operational 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 Audit third-party vendor security postures and include cybersecurity clauses in contracts (e.g., breach notification requirements)., Deploy behavioral analytics to detect subtle signs of data staging (e.g., unusual compression activities)., Implement DLP controls to prevent mass data exfiltration via email/cloud services., Enforce least-privilege access and phishing-resistant MFA across all systems (especially TMS/WMS/EDI)., Segment networks to limit lateral movement from compromised vendors/subsidiaries., Conduct regular insider threat awareness training to mitigate crowdsourced collusion risks., Monitor for anomalies like bulk ZIP file creation, OAuth abuses and and mailbox forwarding rules..

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

Typemill is a flat-file, Markdown-based CMS designed for informational documentation websites. A reflected Cross-Site Scripting (XSS) exists in the login error view template `login.twig` of versions 2.19.1 and below. The `username` value can be echoed back without proper contextual encoding when authentication fails. An attacker can execute script in the login page context. This issue has been fixed in version 2.19.2.

Risk Information
cvss3
Base: 5.4
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N
Description

A DOM-based Cross-Site Scripting (XSS) vulnerability exists in the DomainCheckerApp class within domain/script.js of Sourcecodester Domain Availability Checker v1.0. The vulnerability occurs because the application improperly handles user-supplied data in the createResultElement method by using the unsafe innerHTML property to render domain search results.

Description

A Remote Code Execution (RCE) vulnerability exists in Sourcecodester Modern Image Gallery App v1.0 within the gallery/upload.php component. The application fails to properly validate uploaded file contents. Additionally, the application preserves the user-supplied file extension during the save process. This allows an unauthenticated attacker to upload arbitrary PHP code by spoofing the MIME type as an image, leading to full system compromise.

Description

A UNIX symbolic link following issue in the jailer component in Firecracker version v1.13.1 and earlier and 1.14.0 on Linux may allow a local host user with write access to the pre-created jailer directories to overwrite arbitrary host files via a symlink attack during the initialization copy at jailer startup, if the jailer is executed with root privileges. To mitigate this issue, users should upgrade to version v1.13.2 or 1.14.1 or above.

Risk Information
cvss3
Base: 6.0
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:N/I:H/A:H
cvss4
Base: 6.0
Severity: LOW
CVSS:4.0/AV:L/AC:L/AT:N/PR:H/UI:N/VC:N/VI:N/VA:N/SC:N/SI:H/SA:H/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

An information disclosure vulnerability exists in the /srvs/membersrv/getCashiers endpoint of the Aptsys gemscms backend platform thru 2025-05-28. This unauthenticated endpoint returns a list of cashier accounts, including names, email addresses, usernames, and passwords hashed using MD5. As MD5 is a broken cryptographic function, the hashes can be easily reversed using public tools, exposing user credentials in plaintext. This allows remote attackers to perform unauthorized logins and potentially gain access to sensitive POS operations or backend functions.

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