Incident Score: Analysis & Impact (MERLIT1775010644)
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 MERLIT1775010644.
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 565 and after the incident was 560 with a difference of -5 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.
Mercor recently reported "AI Recruiting Startup Mercor Hit by Supply Chain Attack via Compromised LiteLLM Project", a noteworthy cybersecurity incident.
AI-powered recruiting platform Mercor has confirmed a supply chain attack that exploited vulnerabilities in LiteLLM, an open-source proxy tool widely used in the AI industry.
The disruption is felt across the environment, affecting Systems running vulnerable LiteLLM code, and exposing Employee and candidate information (potential exposure).
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Growing risks of third-party dependencies in AI infrastructure, cascading security risks posed by open-source tools.
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 Supply Chain Compromise (T1195) with high confidence (95%), with evidence including supply chain attack that exploited vulnerabilities in LiteLLM, and compromised open-source tool (LiteLLM) and Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with high confidence (90%), supported by evidence indicating by compromising the tool, attackers potentially gained access to any system running the vulnerable code. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating vulnerabilities in LiteLLM, an open-source proxy tool. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (60%), supported by evidence indicating liteLLM...simplifies API calls to major LLM providers like OpenAI and Anthropic. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), with evidence including exposure of employee and candidate information, and personally identifiable information. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), with evidence including breach, claimed by an extortion hacking crew, and potential exposure of employee and candidate information. Under the Impact tactic, the analysis identified Defacement (T1491) with moderate confidence (50%), supported by evidence indicating potential reputational damage due to breach during critical growth phase and Search Victim-Owned Websites (T1594) with lower confidence (40%), supported by evidence indicating aI-powered recruiting platform Mercor. 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/MERLIT1775010644
- LiteLLM CyberSecurity Rating page: https://www.rankiteo.com/company/litellm
- LiteLLM Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/merlit1775010644-litellm-mercor-vulnerability-april-2026/
- LiteLLM CyberSecurity Score History: https://www.rankiteo.com/company/litellm/history
- LiteLLM CyberSecurity Incident Source: https://www.techbuzz.ai/articles/mercor-hit-by-supply-chain-attack-via-litellm-breach
- 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