Eric Capuano¹ posted an excellent blog regarding MongoBleed (CVE-2025-14847) and indicators to look out for. PoC by Joe Desimone² shows exactly how the memory leak exploit works and Kevin Beaumont³ has an excellent write-up on the vulnerability (see reference section for links).

MongoBleed Triage Script

The script focuses on safe artifact acquisition first, followed by optional on-host analysis, and produces a portable, hashed forensic archive suitable for offline investigation on a forensic workstation.**

PoC Displaying Memory Leak

Triage Script Run

Table of Contents

• Purpose
• What the Script Does
• Time-Scoped Log Filtering
• Optional On-Host Analysis
• Output
• Design Principles
• Important Notes
• Intended Audience
• References
• License

Purpose

MongoBleed exploitation leaves minimal persistent artifacts and often relies on high-velocity unauthenticated connections and metadata enumeration.

This script helps responders:

• Scope exposure starting from PoC disclosure
• Identify suspicious connection velocity
• Detect metadata exfiltration indicators
• Preserve host and Docker-based MongoDB evidence
• Package artifacts in a forensically sound format

What the Script Does

Evidence Collection (Always Runs)

• Collects MongoDB configuration and version information
• Copies MongoDB logs from host systems
• Enumerates Docker containers running MongoDB
• Extracts container logs, configs, socket state, and FD listings
• Captures system context (hostname, kernel, timestamps)

Time-Scoped Log Filtering

• Uses a fixed start time (2024-12-24) corresponding to public PoC release
• Uses a dynamic end time (execution time)
• Filters logs strictly within the incident window

Optional On-Host Analysis

If jq is installed:

• Extracts connection and metadata events from MongoDB logs
• Aggregates connections by source IP
• Calculates:
  • Total connections
  • Metadata request ratio
  • Connection velocity (per minute)
• Flags high-confidence exploitation patterns

If jq is not installed:

• Skips analysis safely
• Preserves all raw artifacts for offline analysis
• Forensic Packaging
• Creates a compressed .tar.gz archive of all collected artifacts
• Generates SHA256 and MD5 hashes
• Produces a single immutable evidence package ready for transfer

Output

The script produces:

• A structured artifact directory
• A compressed forensic archive
• Cryptographic hashes for integrity verification
• All analysis can be reproduced offline without re-running the script on the affected host.
• Post-Execution Layout (Authoritative)

Design Principles

• Collection-first (analysis is never required on the target)
• Non-destructive (read-only operations)
• Defensible (timestamped, hashed, reproducible)
• Docker-aware
• Minimal dependencies

Important Notes

• This script is intended for incident response and forensic triage
• It does not modify MongoDB state
• Detection is based on behavioral indicators, not signatures
• Absence of findings does not guarantee absence of compromise

Intended Audience

• Incident Responders
• DFIR Analysts
• SOC Engineers
• Cloud Security Teams
• Digital Forensic Examiners

References

License

• Use, modify, and adapt responsibly. Attribution appreciated.

Footnotes

1. Original Research: Hunting MongoBleed (CVE-2025-14847) by Eric Capuano ↩

2. MongoBleed PoC by Joe Desimone ↩

3. MongoDB Security Incident by Kevin Beaumont ↩