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

Security researchers have released an open-source detection tool to help organizations identify potential exploitation of MongoBleed (CVE-2025-14847), a critical memory disclosure vulnerability affecting multiple MongoDB versions.

The MongoBleed Detector, developed by Neo23x0, provides incident responders with an offline analysis capability to scan MongoDB logs for exploitation indicators without requiring network connectivity or additional agents.

MongoBleed represents a severe security flaw in MongoDB’s zlib decompression mechanism that enables attackers to extract sensitive data directly from server memory without authentication.

The vulnerability allows threat actors to harvest credentials, session tokens, and personally identifiable information via a standard attack pattern that uses high-volume connections without client metadata.

CVE Details	Information
CVE ID	CVE-2025-14847
Vulnerability Type	Memory Disclosure
Attack Vector	Network, Unauthenticated
Affected Component	MongoDB zlib decompression

The detection tool correlates three specific MongoDB log event types to identify exploitation attempts.

Connection acceptance events, client metadata transmissions, and connection termination records are analyzed together to establish behavioral baselines.

Legitimate MongoDB drivers consistently send metadata immediately after establishing connections, whereas the MongoBleed exploit connects, extracts memory content, and disconnects without transmitting metadata.

This behavioral anomaly underpins the detection methodology.

The detector features streaming processing capabilities that efficiently handle large log files, compressed log support for rotated archives, and compatibility with both IPv4 and IPv6 addressing.

Organizations can configure detection thresholds based on their specific environments, with the tool classifying findings into HIGH, MEDIUM, LOW, and INFO severity categories.

The vulnerability affects MongoDB versions spanning from 3.6.x through 8.2.x, with patches available for currently supported releases.

Version 8.2.3, 8.0.17, 7.0.28, 6.0.27, 5.0.32, and 4.4.30 contain fixes for the flaw. Organizations running end-of-life versions 4.2.x, 4.0.x, and 3.6.x are at continued risk without available patches, necessitating immediate upgrades to supported releases.

Installation involves cloning the GitHub repository and executing the bash script against the MongoDB log directories.

The tool requires minimal dependencies: jq for JSON processing, awk for text manipulation, and gzip for handling compressed logs.

This enables reliable detection even when attackers employ sophisticated techniques to minimize forensic evidence.

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