Incident Score: Analysis & Impact (OLL1770209099)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Ollama'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 Ollama 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 Ollama breach identified under incident ID OLL1770209099.
The analysis begins with a detailed overview of Ollama's information like the linkedin page: https://www.linkedin.com/company/ollama, the number of followers: 146140, the industry type: Technology, Information and Internet and the number of employees: 45 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 733 and after the incident was 728 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 Ollama and their customers.
Ollama recently reported "Hundreds of Thousands of Ollama Hosts Exposed in LLM Security Risk", a noteworthy cybersecurity incident.
A recent study has revealed a critical security vulnerability involving Ollama, a platform for managing large language models (LLMs), with over 175,000 exposed hosts identified online.
The disruption is felt across the environment, affecting Ollama hosts, and exposing Sensitive information at risk.
In response, and began remediation that includes Stricter access controls, regular software updates, and network monitoring.
The case underscores how teams are taking away lessons such as Need for robust security protocols in LLM deployment, and recommending next steps like Strengthen security measures, including stricter access controls, regular software updates, and network monitoring.
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 175,000 exposed hosts identified online, and unsecured LLM infrastructure and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating 23,000 demonstrated persistent activity over a 293-day period. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate to high confidence (70%), supported by evidence indicating 23,000 hosts demonstrated persistent activity over a 293-day period. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating unauthorized access to LLMs could lead to data breaches. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating ongoing data extraction or malicious LLM processing and Data from Information Repositories (T1213) with moderate to high confidence (70%), with evidence including misuse of sensitive information, and sensitive information at risk. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), with evidence including potential data exfiltration, and ongoing data extraction. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (80%), with evidence including malicious LLM processing, and unauthorized access to LLMs and Data Destruction (T1485) with moderate confidence (50%), with evidence including potential reputational damage, and data breaches and misuse. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Ollama Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/ollama/incident/OLL1770209099
- Ollama CyberSecurity Rating page: https://www.rankiteo.com/company/ollama
- Ollama Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/oll1770209099-ollama-vulnerability-february-2026/
- Ollama CyberSecurity Score History: https://www.rankiteo.com/company/ollama/history
- Ollama CyberSecurity Incident Source: https://dailysecurityreview.com/cyber-security/more-than-175000-exposed-hosts-pose-risks-for-ollama-llm-misuse/
- 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