Incident Score: Analysis & Impact (ANTCOGAGELIT1776429692)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of LiteLLM's Vulnerability 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 LiteLLM 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 LiteLLM breach identified under incident ID ANTCOGAGELIT1776429692.
The analysis begins with a detailed overview of LiteLLM's information like the linkedin page: https://www.linkedin.com/company/litellm, the number of followers: 8480, the industry type: Software Development and the number of employees: 7 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 749 and after the incident was 747 with a difference of -2 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 LiteLLM and their customers.
Anthropic recently reported "Critical MCP Vulnerability Exposes AI Ecosystem to Remote Command Execution", a noteworthy cybersecurity incident.
Security researchers at OX Security uncovered a systemic design flaw in Anthropic’s Model Context Protocol (MCP), enabling remote command execution (RCE) and full system compromise.
The disruption is felt across the environment, affecting AI frameworks, AI IDEs (Windsurf, Cursor) and Protected environments (Flowise), and exposing Databases, API keys and Sensitive data.
In response, moved swiftly to contain the threat with measures like Restricting public access to MCP services, Treating inputs as untrusted and Running services in isolated environments, and began remediation that includes Patches released by LiteLLM and Bisheng.
The case underscores how teams are taking away lessons such as The incident underscores the growing risks in AI supply chains and the need for secure-by-design architectures as AI adoption expands, and recommending next steps like Restrict public access to MCP services, Treat inputs as untrusted and Run services in isolated environments.
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 over 7,000 publicly accessible MCP servers, and vulnerability enables remote command execution (RCE), Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with high confidence (95%), with evidence including software supply chain threat for developers integrating MCP, and over 150 million downloads tied to MCP-based components, and Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating zero-click prompt injection in AI IDEs like Windsurf and Cursor. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with high confidence (90%), supported by evidence indicating remote command execution (RCE) allowing attackers to fully compromise affected systems and Command and Scripting Interpreter (T1059) with moderate to high confidence (85%), supported by evidence indicating execute arbitrary commands, access databases, API keys, and sensitive data. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism: Bypass User Account Control (T1548.002) with moderate to high confidence (70%), supported by evidence indicating security bypasses in protected environments, such as Flowise. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating access databases, API keys, and sensitive data. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (75%), supported by evidence indicating remote command execution (RCE) via MCP adapters. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (85%), supported by evidence indicating access databases, API keys, and sensitive data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating full system compromise, arbitrary command execution. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating full system compromise, arbitrary command execution. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- LiteLLM Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/litellm/incident/ANTCOGAGELIT1776429692
- LiteLLM CyberSecurity Rating page: https://www.rankiteo.com/company/litellm
- LiteLLM Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/antcogagelit1776429692-anthropic-windsurf-litellm-agent-zero-vulnerability-january-2025/
- LiteLLM CyberSecurity Score History: https://www.rankiteo.com/company/litellm/history
- LiteLLM CyberSecurity Incident Source: https://cyberpress.org/critical-vulnerability-in-flowise/
- 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