Incident Score: Analysis & Impact (SAITEX1773412315)
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 Saint-Gobain's Ransomware 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 Saint-Gobain 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 Saint-Gobain breach identified under incident ID SAITEX1773412315.
The analysis begins with a detailed overview of Saint-Gobain's information like the linkedin page: https://www.linkedin.com/company/saint-gobain, the number of followers: 1125428, the industry type: Wholesale Building Materials and the number of employees: 36161 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 804 and after the incident was 747 with a difference of -57 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 Saint-Gobain and their customers.
Texas Tech University System recently reported "New AI-Assisted Malware 'Slopoly' Linked to Hive0163 Ransomware Campaigns", a noteworthy cybersecurity incident.
A recently identified malware strain, *Slopoly*, is being deployed in ransomware attacks tied to the financially motivated threat group Hive0163.
The disruption is felt across the environment, and exposing sensitive data exfiltrated.
Formal response steps have not been shared publicly yet.
Overall, the incident is a reminder of why proactive monitoring and strong governance matter.
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 Phishing: Spearphishing Link (T1566.002) with high confidence (90%), with evidence including clickFix social-engineering tactic, and intrusion began with a ClickFix social-engineering tactic. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: PowerShell (T1059.001) with high confidence (95%), with evidence including installation of *Slopoly* as a PowerShell script, and executes commands via *cmd.exe* and User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating deployed *Slopoly* in *C such as \ProgramData\Microsoft\Windows\Runtime\*. Under the Persistence tactic, the analysis identified Scheduled Task/Job: Scheduled Task (T1053.005) with high confidence (90%), supported by evidence indicating maintains persistence via a scheduled task named Runtime Broker. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating builder tool to randomize configuration values like beaconing intervals and Masquerading: Match Legitimate Name or Location (T1036.005) with moderate to high confidence (80%), supported by evidence indicating deployed in *C such as \ProgramData\Microsoft\Windows\Runtime\*. Under the Discovery tactic, the analysis identified System Information Discovery (T1082) with high confidence (90%), supported by evidence indicating collects system information. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), with evidence including communicating with a command-and-control (C2) server, and sends heartbeat signals to the C2 server every 30 seconds and Ingress Tool Transfer (T1105) with moderate to high confidence (80%), supported by evidence indicating supports commands for downloading and executing payloads (EXE, DLL, JavaScript). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including exfiltrating sensitive data, and attackers lingered on a compromised server for over a week, exfiltrating sensitive data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (95%), with evidence including interlock ransomware attack, and ransomware strain such as Interlock. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Saint-Gobain Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/saint-gobain/incident/SAITEX1773412315
- Saint-Gobain CyberSecurity Rating page: https://www.rankiteo.com/company/saint-gobain
- Saint-Gobain Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/saitex1773412315-city-of-saint-paul-minnesota-texas-tech-university-system-ransomware-january-2024/
- Saint-Gobain CyberSecurity Score History: https://www.rankiteo.com/company/saint-gobain/history
- Saint-Gobain CyberSecurity Incident Source: https://cybersafe.news/ai-built-slopoly-malware-used-in-ransomware-attacks/
- 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