Incident Score: Analysis & Impact (OPEOPEBITGOO1782318372)
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 OpenText'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 OpenText 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 OpenText breach identified under incident ID OPEOPEBITGOO1782318372.
The analysis begins with a detailed overview of OpenText's information like the linkedin page: https://www.linkedin.com/company/opentext, the number of followers: 544336, the industry type: Software Development and the number of employees: 22990 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 773 and after the incident was 771 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 OpenText and their customers.
A newly reported cybersecurity incident, "Ransomware Attacks Surge in 2025, Driven by Russian-Linked Groups and AI Exploitation", has drawn attention.
In 2025, ransomware attacks claimed on dark-web leak sites jumped nearly 20%, reaching 6,883 incidents, while the number of leak sites grew by a third to 115.
The disruption is felt across the environment, and exposing PII, operational data and supply chain assets.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as The shrinking window between vulnerability discovery and exploitation demands faster response times. Traditional patching schedules are no longer sufficient in this accelerated threat landscape.
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 moderate to high confidence (80%), with evidence including poorly secured AI platforms, and n8n and Open WebUI flaws and External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating publicly exposed AI tools surged 360%, exceeding 1 million instances. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating vulnerable AI platforms creating new vulnerabilities. Under the Persistence tactic, the analysis identified External Remote Services (T1133) with moderate confidence (60%), supported by evidence indicating poorly secured AI tools creating new vulnerabilities. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), supported by evidence indicating n8n and Open WebUI flaws leading the rise. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating aI exploitation by hackers leveraging AI tools like Gemini, ChatGPT and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating shrinking window between vulnerability discovery and exploitation. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (60%), supported by evidence indicating poorly secured AI platforms creating new vulnerabilities. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating targeting industries handling PII, operational data, and supply chain assets. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating pII, operational data, and supply chain assets compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 6,883 ransomware incidents claimed on dark-web leak sites and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating dark-web leak sites grew by a third to 115. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware attacks jumped nearly 20%, reaching 6,883 incidents, Defacement (T1491) with moderate confidence (60%), supported by evidence indicating dark-web leak sites used for ransomware claims, and Inhibit System Recovery (T1490) with moderate to high confidence (70%), supported by evidence indicating disruption of critical infrastructure, defense, government, and utilities. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- OpenText Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/opentext/incident/OPEOPEBITGOO1782318372
- OpenText CyberSecurity Rating page: https://www.rankiteo.com/company/opentext
- OpenText Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/opeopebitgoo1782318372-openai-bitsight-google-open-webui-vulnerability-january-2025/
- OpenText CyberSecurity Score History: https://www.rankiteo.com/company/opentext/history
- OpenText CyberSecurity Incident Source: https://www.cybersecuritydive.com/news/ransomware-data-breaches-ai-bitsight/823649/
- 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