Incident Score: Analysis & Impact (MONELA1783283101)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of MongoDB'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 MongoDB 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 MongoDB breach identified under incident ID MONELA1783283101.
The analysis begins with a detailed overview of MongoDB's information like the linkedin page: https://www.linkedin.com/company/mongodbinc, the number of followers: 925601, the industry type: Software Development and the number of employees: 8042 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 655 and after the incident was 249 with a difference of -406 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 MongoDB and their customers.
A newly reported cybersecurity incident, "Industrial-Scale Database Extortion: A Five-Year Census Reveals Massive Damage with Minimal Payoff", has drawn attention.
A five-year investigation by the Ransomnews Research Team uncovered 65,907 exposed databases on the public internet, with 46.3% (30,515) already compromised by ransom or wipe attacks.
The disruption is felt across the environment, affecting 65,907 exposed databases, 30,515 compromised, and exposing 215 billion records destroyed or exfiltrated, with nearly 215 billion records at risk, plus an estimated financial loss of ~$753,000 (9.78 BTC) paid in ransoms over five years.
Formal response steps have not been shared publicly yet.
The case underscores how Completed (five-year study), teams are taking away lessons such as Unsecured databases are almost immediately targeted and compromised. Automated, volume-driven attacks dominate, with minimal financial payoff for most operators but severe data loss for victims. Defenders must prioritize securing exposed databases to prevent irreversible damage, and recommending next steps like Secure exposed databases by closing open ports, Implement network segmentation and enhanced monitoring and Assume exposed databases are already compromised and act accordingly.
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%), supported by evidence indicating exposed databases (MongoDB, MySQL, Elasticsearch, Kibana) with open ports and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating unsecured databases exposed to the public internet. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with high confidence (90%), supported by evidence indicating industrial-Scale Scripts such as Attackers scan for open database ports, drop templated ransom notes. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (95%), with evidence including data encryption such as true, and ransom notes (e.g., *read_me_to_recover*, *btc_ransom_note*) and Data Destruction (T1485) with high confidence (90%), with evidence including 215 billion records destroyed or exfiltrated, and early wiper attacks (like the 2020 *Meow* campaign). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including data exfiltration such as true, and 215 billion records destroyed or exfiltrated. Under the Defense Evasion tactic, the analysis identified Valid Accounts: Default Accounts (T1078.001) with moderate to high confidence (70%), supported by evidence indicating unsecured databases exposed to the public internet (likely default/no credentials) and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating automated scripts replacing database contents with ransom notes. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- MongoDB Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/mongodbinc/incident/MONELA1783283101
- MongoDB CyberSecurity Rating page: https://www.rankiteo.com/company/mongodbinc
- MongoDB Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/monela1783283101-mongodb-elasticsearch-ransomware-may-2021/
- MongoDB CyberSecurity Score History: https://www.rankiteo.com/company/mongodbinc/history
- MongoDB CyberSecurity Incident Source: https://www.linkedin.com/pulse/new-research-reveals-62-database-ransom-wallets-8ynre
- 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