Incident Score: Analysis & Impact (TP-HIKFOXGOOREVARITHEOPECIS1770645410)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of RevelSI'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 RevelSI 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 RevelSI breach identified under incident ID TP-HIKFOXGOOREVARITHEOPECIS1770645410.
The analysis begins with a detailed overview of RevelSI's information like the linkedin page: https://www.linkedin.com/company/revelsi, the number of followers: 14354, the industry type: Computer and Network Security and the number of employees: 117 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 751 and after the incident was 734 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 RevelSI and their customers.
OpenClaw recently reported "Cybersecurity Roundup: Trust Abuse, AI Risks, and Supply Chain Attacks Dominate Threat Landscape", a noteworthy cybersecurity incident.
This week’s cybersecurity developments highlight attackers exploiting trusted systems, AI platforms, software updates, messaging apps, and open-source ecosystems to bypass security controls.
The disruption is felt across the environment, affecting OpenClaw AI Framework, Notepad++ and Docker AI Assistant, and exposing AI Agent Configurations, User Data on MoltBook and Credentials.
In response, moved swiftly to contain the threat with measures like Starlink Terminal Verification System (Ukraine), Docker Patch (MCP Gateway RCE) and Notepad++ Update Verification Fix, and began remediation that includes OpenClaw Gateway Scanning, AI Backdoor Scanner (Microsoft) and Enhanced Monitoring for Exposed OpenClaw Instances.
The case underscores how Ongoing, teams are taking away lessons such as Attackers are increasingly exploiting trust in ecosystems (AI, software updates, messaging apps) rather than relying on traditional malware. Organizations must monitor integrations, verify updates, and secure AI deployments to mitigate risks from state-sponsored actors and cybercriminals, and recommending next steps like Scan AI extensions for malware (e.g., VirusTotal integration), Verify software updates and supply chain integrity and Secure AI deployments with encryption-at-rest and containerization.
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 (90%), with evidence including sophisticated supply chain attack targeted Notepad++, and winGUp updater redirected to malicious servers, Compromise Software Supply Chain (T1195.002) with high confidence (90%), with evidence including notepad++ WinGUp update verification flaw exploited, and docker AI assistant RCE via malicious image metadata, Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), with evidence including exposed OpenClaw gateways (port 18789) targeted, and 21,639 exposed OpenClaw instances identified, Phishing (T1566) with moderate to high confidence (80%), with evidence including state-sponsored phishing attacks via Signal, and pIN and device-linking features exploited, and Drive-by Compromise (T1189) with moderate to high confidence (70%), with evidence including malicious components in OpenClaw ClawHub marketplace, and typosquatted claw packages on npm and PyPI. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), with evidence including docker MCP Gateway RCE via malicious instructions, and openClaw WebSocket API command execution and Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), with evidence including shadowHS fileless Linux framework runs in memory, and modules for lateral movement and privilege escalation. Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate confidence (60%), with evidence including openClaw WebSocket API authentication bypasses, and exposed gateways targeted for persistence and Event Triggered Execution (T1546) with moderate confidence (50%), supported by evidence indicating malicious AI extensions in OpenClaw with broad permissions. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating shadowHS framework includes privilege escalation modules and Abuse Elevation Control Mechanism (T1548) with moderate confidence (60%), supported by evidence indicating openClaw AI agents with user-controlled configurations. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (80%), with evidence including shadowHS fileless Linux framework runs entirely in memory, and etherHiding uses Ethereum smart contracts for C2, Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating shadowHS includes defensive tooling enumeration, Masquerading (T1036) with moderate to high confidence (70%), with evidence including typosquatted claw packages on npm and PyPI, and malicious AI extensions in ClawHub, and Hijack Execution Flow: DLL Side-Loading (T1574.002) with moderate confidence (60%), supported by evidence indicating etherHiding employs COM hijacking. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating shadowHS framework includes credential access modules and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating signal account hijacking via PIN/device-linking features. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating shadowHS includes system profiling and enumeration and File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating shadowHS framework targets local systems for data. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (70%), supported by evidence indicating shadowHS includes lateral movement modules and Remote Services (T1021) with moderate confidence (60%), supported by evidence indicating openClaw WebSocket API targeted for command execution. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), with evidence including shadowHS targets local systems for data exfiltration, and aI agent configurations compromised and Automated Collection (T1119) with moderate to high confidence (70%), supported by evidence indicating moltBook AI agents interact without human oversight. Under the Command and Control tactic, the analysis identified Ingress Tool Transfer (T1105) with moderate to high confidence (70%), supported by evidence indicating etherHiding fetches C2 servers via Ethereum smart contracts, Application Layer Protocol (T1071) with moderate to high confidence (80%), supported by evidence indicating openClaw WebSocket API targeted for command execution, and Proxy (T1090) with moderate confidence (60%), supported by evidence indicating etherHiding complicates takedown efforts via smart contracts. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including shadowHS framework includes data exfiltration modules, and openClaw data exfiltration risks and Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (70%), supported by evidence indicating etherHiding uses Ethereum smart contracts for C2. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (90%), with evidence including 31.4 Tbps DDoS attack by AISURU/Kimwolf botnet, and dDoS attacks surged 121% in 2025, Data Encrypted for Impact (T1486) with moderate to high confidence (80%), with evidence including iNC Ransomware data encryption, and ransomware strain listed 100+ victims, and Data Manipulation (T1565) with moderate to high confidence (70%), with evidence including moltBook AI agents manipulate content, and 19.3% of content unregulated. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- RevelSI Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/revelsi/incident/TP-HIKFOXGOOREVARITHEOPECIS1770645410
- RevelSI CyberSecurity Rating page: https://www.rankiteo.com/company/revelsi
- RevelSI Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/tp-hikfoxgoorevaritheopecis1770645410-openclaw-notepad-hikvision-apache-syncope-foxit-tp-link-cisco-google-chrome-arista-ng-firewall-cyber-attack-november-2025/
- RevelSI CyberSecurity Score History: https://www.rankiteo.com/company/revelsi/history
- RevelSI CyberSecurity Incident Source: https://thehackernews.com/2026/02/weekly-recap-ai-skill-malware-31tbps.html
- 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