Incident Score: Analysis & Impact (MON1770164849)
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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 MON1770164849.
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 619 and after the incident was 448 with a difference of -171 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, "MongoDB Ransomware Campaign Resurfaces, Targeting Thousands of Exposed Databases", has drawn attention.
A resurgent ransomware campaign is exploiting misconfigured MongoDB databases worldwide, with attackers automating attacks to wipe data and demand Bitcoin payments.
The disruption is felt across the environment, affecting 3,100 fully exposed MongoDB servers without authentication, 1,416 already compromised, and exposing Data wiped and copied before ransom demand, plus an estimated financial loss of Potential revenue of $842,000 USD if ransoms are paid.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Persistence of vulnerabilities due to poor deployment practices, risks of exposed databases without authentication, and inefficacy of paying ransoms, and recommending next steps like Secure MongoDB configurations, enforce authentication, avoid exposing databases to the internet, and refrain from paying ransoms.
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 (95%), with evidence including exploiting misconfigured MongoDB databases worldwide, and internet-exposed MongoDB instances lacking authentication and External Remote Services (T1133) with high confidence (90%), supported by evidence indicating targets internet-exposed MongoDB instances...listening on port 27017. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with moderate to high confidence (85%), with evidence including attackers automating attacks to wipe data, and automated scripts to scan for vulnerable databases. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with moderate to high confidence (70%), supported by evidence indicating 8,954 validated leaked credentials further fuel the threat. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including copy their contents, wipe all data, and data exfiltration such as Yes. Under the Impact tactic, the analysis identified Data Destruction (T1485) with high confidence (95%), with evidence including wipe data and demand Bitcoin payments, and data wiped, not encrypted and Service Stop (T1489) with moderate to high confidence (80%), with evidence including disruption of database services, and operational impact such as Data loss. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (85%), with evidence including copy their contents...leave a ransom note, and data exfiltration such as Yes. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating internet-exposed MongoDB instances...port 27017. 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/MON1770164849
- MongoDB CyberSecurity Rating page: https://www.rankiteo.com/company/mongodbinc
- MongoDB Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/mon1770164849-mongodb-ransomware-february-2026/
- MongoDB CyberSecurity Score History: https://www.rankiteo.com/company/mongodbinc/history
- MongoDB CyberSecurity Incident Source: https://cyberpress.org/wipe-mongodb-databases/
- 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