Incident Score: Analysis & Impact (OPE1772375256)
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 OpenClaw'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 OpenClaw 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 OpenClaw breach identified under incident ID OPE1772375256.
The analysis begins with a detailed overview of OpenClaw's information like the linkedin page: https://www.linkedin.com/company/openclawai, the number of followers: 2607, the industry type: Technology, Information and Internet and the number of employees: 5 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 727 and after the incident was 722 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 OpenClaw and their customers.
On 12 February 2026, OpenClaw disclosed Data Privacy and Cybersecurity Advisory issues under the banner "Dutch Data Protection Authority Warns Against OpenClaw AI Agent Risks".
The Netherlands’ Autoriteit Persoonsgegevens (AP) issued a formal warning against OpenClaw and similar open-source autonomous AI agent systems, citing severe cybersecurity and data privacy risks.
The disruption is felt across the environment, affecting OpenClaw AI agent systems, Linked accounts (e.g., Google, Facebook, Apple ID) and Local files, and exposing Login credentials, Cryptocurrency and Sensitive local files.
In response, moved swiftly to contain the threat with measures like AP urges users to avoid deploying OpenClaw on systems handling sensitive data, and stakeholders are being briefed through Formal warning and advisory issued by AP.
The case underscores how Ongoing regulatory scrutiny, teams are taking away lessons such as Autonomous AI agents with broad system access pose significant security and privacy risks, requiring stricter regulatory oversight and user awareness, and recommending next steps like Avoid deploying OpenClaw or similar AI agents on systems handling sensitive data, Check for unauthorized installations on home devices and Ensure GDPR compliance when using AI tools, with advisories going out to stakeholders covering Organizations and users are advised to avoid using OpenClaw for sensitive operations.
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: Compromise Software Dependencies and Development Tools (T1195.002) with high confidence (90%), supported by evidence indicating roughly 20% of OpenClaw plug-ins contain malware, Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating remote code execution vulnerabilities...take full control of a system, and User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating plug-ins contain malware, designed to steal login credentials. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: Visual Basic (T1059.005) with moderate confidence (60%), supported by evidence indicating indirect prompt injection attacks...trick the AI into executing malicious actions and Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating remote code execution vulnerabilities...take full control of a system. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating steal login credentials or cryptocurrency...access to linked accounts (e.g., Google, Facebook, Apple ID) and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating malware in plug-ins...steal login credentials. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating sensitive local files...expose personal data to public visibility and Data from Information Repositories: Sharepoint (T1213.002) with moderate confidence (60%), supported by evidence indicating cRM data, API keys, and client financial records exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration...through malicious plug-ins or remote code execution and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating interactions with cloud services and third-party integrations create security gaps. Under the Defense Evasion tactic, the analysis identified Masquerading: Match Legitimate Name or Location (T1036.005) with moderate to high confidence (80%), supported by evidence indicating open-source AI agent...appeals to users...malware in plug-ins and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating misconfigurations...users may unknowingly expose personal data. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (70%), supported by evidence indicating remote code execution vulnerabilities...take full control of a system. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- OpenClaw Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/openclawai/incident/OPE1772375256
- OpenClaw CyberSecurity Rating page: https://www.rankiteo.com/company/openclawai
- OpenClaw Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ope1772375256-openclaw-vulnerability-february-2026/
- OpenClaw CyberSecurity Score History: https://www.rankiteo.com/company/openclawai/history
- OpenClaw CyberSecurity Incident Source: https://ppc.land/dutch-authority-flags-open-source-ai-agents-as-a-trojan-horse-for-hackers/
- 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