Incident Score: Analysis & Impact (SEE1775622455)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Seeing Machines'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 Seeing Machines 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 Seeing Machines breach identified under incident ID SEE1775622455.
The analysis begins with a detailed overview of Seeing Machines's information like the linkedin page: https://www.linkedin.com/company/seeingmachines, the number of followers: 16563, the industry type: IT Services and IT Consulting and the number of employees: 422 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 754 and after the incident was 643 with a difference of -111 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 Seeing Machines and their customers.
On 31 March 2024, Seeing Machines disclosed Ransomware issues under the banner "Qilin Ransomware Gang Claims Seeing Machines as Latest Victim".
The Qilin ransomware gang has listed Australian technology firm Seeing Machines as a victim on its darknet leaksite.
Impact assessments are still underway, so the full scope is not yet clear.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing.
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 Trusted Relationship (T1199) with moderate confidence (60%), supported by evidence indicating qilin operates as a Ransomware-as-a-Service (RaaS) group and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating extent of compromise remains unclear, no attack vector disclosed. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating type such as Ransomware, Qilin ransomware gang listed as victim. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate confidence (60%), supported by evidence indicating qilin ransomware strain involved, no details on encryption and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating enhanced monitoring systems implemented post-incident. Under the Credential Access tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating qilin recruits affiliates via Russian-speaking forum RAMP. Under the Discovery tactic, the analysis identified System Information Discovery (T1082) with moderate confidence (60%), supported by evidence indicating company operates globally, AI-driven vision tech systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating qilin listed victim on darknet leaksite, viewed 7,200+ times and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating extortion via exposed databases suggested by researchers. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating type such as Ransomware, Qilin ransomware strain involved and Inhibit System Recovery (T1490) with moderate confidence (60%), supported by evidence indicating attack threatening the organizations existence. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Seeing Machines Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/seeingmachines/incident/SEE1775622455
- Seeing Machines CyberSecurity Rating page: https://www.rankiteo.com/company/seeingmachines
- Seeing Machines Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/see1775622455-seeing-machines-ransomware-march-2026/
- Seeing Machines CyberSecurity Score History: https://www.rankiteo.com/company/seeingmachines/history
- Seeing Machines CyberSecurity Incident Source: https://www.cyberdaily.au/security/13433-exclusive-aussie-tech-firm-seeing-machines-confirms-qilin-ransomware-attack
- 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