Incident Score: Analysis & Impact (MONUNK1769964108)
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 UNKNOWN LABS®'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 UNKNOWN LABS® 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 UNKNOWN LABS® breach identified under incident ID MONUNK1769964108.
The analysis begins with a detailed overview of UNKNOWN LABS®'s information like the linkedin page: https://www.linkedin.com/company/unknownlabs, the number of followers: 0, the industry type: Design and the number of employees: 2 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 790 and after the incident was 711 with a difference of -79 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 UNKNOWN LABS® and their customers.
A newly reported cybersecurity incident, "Automated Ransom Attacks Target Exposed MongoDB Instances", has drawn attention.
A threat actor is conducting automated data extortion attacks against misconfigured MongoDB databases, compromising around 1,400 exposed servers and demanding ransoms of approximately $500 in Bitcoin to restore deleted data.
The disruption is felt across the environment, affecting 1,400 exposed MongoDB servers, and exposing Data deleted and replaced with ransom notes.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Risks of improperly secured MongoDB deployments, particularly those left publicly accessible without strong authentication or network restrictions, and recommending next steps like Secure MongoDB instances with authentication, restrict public access, and update to the latest versions to mitigate known vulnerabilities.
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 high confidence (90%), with evidence including exploit poorly secured instances with unrestricted access, and 208,500 publicly exposed MongoDB servers and External Remote Services (T1133) with moderate to high confidence (80%), with evidence including 3,100 accessible without authentication, and misconfigured MongoDB databases. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), with evidence including automated data extortion attacks, and single attacker behind the campaign. Under the Impact tactic, the analysis identified Data Destruction (T1485) with high confidence (95%), with evidence including data deleted and replaced with ransom notes, and 46% of unsecured databases had already been wiped and Data Encrypted for Impact (T1486) with lower confidence (20%), supported by evidence indicating data was deleted, not encrypted. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with lower confidence (30%), supported by evidence indicating no evidence of data exfiltration (only deletion and ransom notes). Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating misconfigured MongoDB databases (lack of authentication). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- UNKNOWN LABS® Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/unknownlabs/incident/MONUNK1769964108
- UNKNOWN LABS® CyberSecurity Rating page: https://www.rankiteo.com/company/unknownlabs
- UNKNOWN LABS® Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/monunk1769964108-mongodb-unknown-organizations-ransomware-january-2021/
- UNKNOWN LABS® CyberSecurity Score History: https://www.rankiteo.com/company/unknownlabs/history
- UNKNOWN LABS® CyberSecurity Incident Source: https://www.bleepingcomputer.com/news/security/exposed-mongodb-instances-still-targeted-in-data-extortion-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