MongoBleed Detector Tool Released to Detect MongoDB Vulnerability(CVE-2025-14847)

An open-source detection tool to help organizations identify potential exploitation of MongoBleed (CVE-2025-14847), a critical memory disclosure vulnerability affecting MongoDB databases.​

The vulnerability allows attackers to extract sensitive information, including credentials, session tokens, and personally identifiable information, directly from server memory without requiring authentication.

The flaw exists in MongoDB’s zlib decompression mechanism and affects versions ranging from 4.4 through 8.2.2.​

How the Detector Works

The MongoBleed Detector is an offline, command-line tool that analyzes MongoDB JSON logs to identify exploitation attempts.

It operates without requiring network connectivity or additional agents, making it suitable for forensic analysis and incident response scenarios.​

The detection mechanism correlates three MongoDB log event types: connection accepted (22943), client metadata (51800), and connection closed (22944).

Legitimate MongoDB drivers always send metadata immediately after connecting. In contrast, the MongoBleed exploit connects, extracts memory, and disconnects without sending any metadata.​

The tool identifies suspicious patterns characterized by high connection volumes from a single IP address, the absence of client metadata, and short-duration burst behavior exceeding 100,000 connections per minute.​

Feature	Summary
Log Analysis	Supports compressed logs; IPv4 and IPv6 compatible
Risk Levels	Four severity ratings: HIGH, MEDIUM, LOW, INFO
Detection Controls	Configurable detection thresholds
Forensics Mode	Analyzes evidence from multiple hosts
Remote Scanning	SSH-based Python wrapper for scanning multiple MongoDB instances
Action Required	Patch vulnerable MongoDB versions and scan for compromise

The detector supports compressed log processing, handles both IPv4 and IPv6 addresses, and provides risk classification across four severity levels: HIGH, MEDIUM, LOW, and INFO.

It offers configurable detection thresholds and includes a forensic folder mode for analyzing evidence collected from multiple hosts.​

The tool also includes a Python wrapper for remote execution via SSH, enabling security teams to scan multiple MongoDB instances simultaneously.​

MongoDB Major Version	Affected Versions	Recommended Fixed Version
4.4	4.4.0 – 4.4.29	4.4.30 or later
5.0	5.0.0 – 5.0.31	5.0.32 or later
6.0	6.0.0 – 6.0.26	6.0.27 or later
7.0	7.0.0 – 7.0.27	7.0.28 or later
8.0	8.0.0 – 8.0.16	8.0.17 or later
8.2	8.2.0 – 8.2.2	8.2.3 or later

According to an advisory published on GitHub, organizations running vulnerable MongoDB versions should immediately apply available patches and use the detector to investigate potential compromise.

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