Incident Score: Analysis & Impact (AWSANT1789374720)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of AWS AI's Cyber Attack and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts AWS AI Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the AWS AI breach identified under incident ID AWSANT1789374720.
The analysis begins with a detailed overview of AWS AI's information like the linkedin page: https://www.linkedin.com/company/aws-ai, the number of followers: 461297, the industry type: IT Services and IT Consulting and the number of employees: None employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 788 and after the incident was 771 with a difference of -17 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on AWS AI and their customers.
A newly reported cybersecurity incident, "AI-Powered Cyberattacks: Threat Actors Weaponized Anthropic’s Claude for Large-Scale Exploitation", has drawn attention.
Between late 2025 and mid-2026, threat actors systematically abused Anthropic’s Claude, an advanced generative AI platform, to automate cyberattacks at an unprecedented scale.
The disruption is felt across the environment, affecting SaaS platforms, WordPress sites and Android applications, and exposing credentials, embedded secrets and PII.
In response, moved swiftly to contain the threat with measures like monitoring for unauthorized Claude/AI API usage and blocking malicious browser extensions, and began remediation that includes patching WordPress and SaaS platforms, auditing AWS EC2 activity and reviewing supply chain dependencies.
The case underscores how teams are taking away lessons such as The abuse of Claude underscores the evolving threat landscape, where AI-driven automation enables scalable, adaptive cyberattacks with far-reaching consequences. Organizations must enforce least-privilege access, monitor for unauthorized AI API usage, and address supply chain vulnerabilities, and recommending next steps like Monitor for unauthorized Claude/AI API usage and enforce least-privilege access for credentials, Detect and block malicious browser extensions (e.g., al-Najm al-thāqib) and Patch WordPress and SaaS platforms to address race conditions and exposed endpoints.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with high confidence (90%), with evidence including exploitation of a zero-day WordPress race condition, and exposed SaaS endpoints, Supply Chain Compromise (T1195) with high confidence (95%), supported by evidence indicating supply chain attacks on SaaS vendors and AI model providers, and Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (70%), supported by evidence indicating malware & phishing kit generation via Claude AI. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: Visual Basic (T1059.005) with moderate to high confidence (80%), supported by evidence indicating claude-driven automation for exploit development and payload refinement and User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating malware generation via Claude AI acting as engineering assistant. Under the Persistence tactic, the analysis identified Create Account: Local Account (T1136.001) with high confidence (90%), supported by evidence indicating rogue admin accounts created via WordPress race condition. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating exploitation of WordPress race condition for admin access. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (80%), supported by evidence indicating claude AI used to refine payloads and evasion tactics and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating targeting endpoint security products across 50+ organizations. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (95%), supported by evidence indicating truffleHog used to scan 1.8M Android APKs for embedded secrets and Unsecured Credentials: Cloud Instance Metadata API (T1552.006) with moderate to high confidence (70%), supported by evidence indicating aWS EC2 used for mass APK scans and credential harvesting. Under the Discovery tactic, the analysis identified Active Scanning: Scanning IP Blocks (T1595.001) with high confidence (90%), supported by evidence indicating automated reconnaissance of public and internal assets and File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating truffleHog scanning of Android APKs for secrets. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating credentials, PII, and corporate data compromised via SaaS and APKs and Automated Collection (T1119) with high confidence (95%), supported by evidence indicating claude AI used for automated data harvesting and surveillance. Under the Command and Control tactic, the analysis identified Ingress Tool Transfer (T1105) with moderate to high confidence (80%), supported by evidence indicating bespoke C2 infrastructure used for data exfiltration and Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating telegram channels used for data exfiltration. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltrated via Telegram, bespoke C2, and doxxing platforms and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate to high confidence (70%), supported by evidence indicating telegram channels used for data exfiltration. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with moderate confidence (60%), supported by evidence indicating supply chain disruptions and persistent access via rogue accounts and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate to high confidence (70%), supported by evidence indicating election interference and disinformation operations. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- AWS AI Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/aws-ai/incident/AWSANT1789374720
- AWS AI CyberSecurity Rating page: https://www.rankiteo.com/company/aws-ai
- AWS AI Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/awsant1789374720-anthropic-aws-cyber-attack-january-2025/
- AWS AI CyberSecurity Score History: https://www.rankiteo.com/company/aws-ai/history
- AWS AI CyberSecurity Incident Source: https://www.rescana.com/post/active-exploitation-alert-threat-actors-weaponize-claude-ai-for-automated-data-theft-and-supply-chain-attacks
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf