MongoDB Breach Incident Score: Analysis & Impact (MON1766765150)

In this Rankiteo incident briefing, we review the MongoDB breach identified under incident ID MON1766765150.

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: 888000, the industry type: Software Development and the number of employees: 7631 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 757 and after the incident was 752 with a difference of -5 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.

On 26 December 2025, MongoDB disclosed Memory-Read Vulnerability issues under the banner "MongoDB High-Severity Memory-Read Vulnerability (CVE-2025-14847)".

MongoDB has warned IT admins to immediately patch a high-severity memory-read vulnerability (CVE-2025-14847) that may be exploited by unauthenticated attackers remotely.

The disruption is felt across the environment, affecting MongoDB Server versions 8.2.0-8.2.3, 8.0.0-8.0.16, 7.0.0-7.0.26, 6.0.0-6.0.26, 5.0.0-5.0.31, 4.4.0-4.4.29, and all v4.2, v4.0, v3.6 versions, and exposing Uninitialized heap memory.

In response, moved swiftly to contain the threat with measures like Upgrade to MongoDB 8.2.3, 8.0.17, 7.0.28, 6.0.27, 5.0.32, or 4.4.30; alternatively, disable zlib compression, and began remediation that includes Patching vulnerable versions, disabling zlib compression, and stakeholders are being briefed through Public advisory issued on MongoDB's security page.

The case underscores how Ongoing, and recommending next steps like Immediately upgrade to patched versions or disable zlib compression. Monitor for unauthorized access or exploitation attempts, with advisories going out to stakeholders covering IT admins and MongoDB users advised to patch immediately.

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.

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 unauthenticated attackers to remotely exploit affected systems, and low-complexity attacks without requiring user interaction. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), with evidence including exposing uninitialized heap memory, and potentially exposing sensitive data via memory-read vulnerability. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), with evidence including potential risk of arbitrary code execution or device compromise, and improper handling of length parameter inconsistencies. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating disabling zlib compression via server configuration is advised as mitigation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.