An open-source detection instrument to assist organizations determine potential exploitation of MongoBleed (CVE-2025-14847), a vital reminiscence disclosure vulnerability affecting MongoDB databases.
The vulnerability permits attackers to extract delicate info, together with credentials, session tokens, and personally identifiable info, instantly from server reminiscence with out requiring authentication.
The flaw exists in MongoDB’s zlib decompression mechanism and impacts variations starting from 4.4 by means of 8.2.2.
How the Detector Works
The MongoBleed Detector is an offline, command-line instrument that analyzes MongoDB JSON logs to determine exploitation makes an attempt.
It operates with out requiring community connectivity or extra brokers, making it appropriate for forensic evaluation and incident response situations.
The detection mechanism correlates three MongoDB log occasion sorts: connection accepted (22943), consumer metadata (51800), and connection closed (22944).
Official MongoDB drivers at all times ship metadata instantly after connecting. In distinction, the MongoBleed exploit connects, extracts reminiscence, and disconnects with out sending any metadata.
The instrument identifies suspicious patterns characterised by excessive connection volumes from a single IP deal with, the absence of consumer metadata, and short-duration burst conduct exceeding 100,000 connections per minute.
FeatureSummaryLog AnalysisSupports compressed logs; IPv4 and IPv6 compatibleRisk LevelsFour severity rankings: HIGH, MEDIUM, LOW, INFODetection ControlsConfigurable detection thresholdsForensics ModeAnalyzes proof from a number of hostsRemote ScanningSSH-based Python wrapper for scanning a number of MongoDB instancesAction RequiredPatch susceptible MongoDB variations and scan for compromise
The detector helps compressed log processing, handles each IPv4 and IPv6 addresses, and gives danger classification throughout 4 severity ranges: HIGH, MEDIUM, LOW, and INFO.
It provides configurable detection thresholds and features a forensic folder mode for analyzing proof collected from a number of hosts.
The instrument additionally features a Python wrapper for distant execution through SSH, enabling safety groups to scan a number of MongoDB situations concurrently.
MongoDB Main VersionAffected VersionsRecommended Fastened Version4.44.4.0 – 4.4.294.4.30 or later5.05.0.0 – 5.0.315.0.32 or later6.06.0.0 – 6.0.266.0.27 or later7.07.0.0 – 7.0.277.0.28 or later8.08.0.0 – 8.0.168.0.17 or later8.28.2.0 – 8.2.28.2.3 or later
Based on an advisory printed on GitHub, organizations operating susceptible MongoDB variations ought to instantly apply out there patches and use the detector to analyze potential compromise.
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