## https://sploitus.com/exploit?id=20D326DC-1872-5690-9B9A-5E02AD3FC38C
#### **Eric Capuano[^1] posted an excellent blog regarding MongoBleed (CVE-2025-14847) and indicators to look out for. PoC by Joe Desimone[^2] shows exactly how the memory leak exploit works and Kevin Beaumont[^3] 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](#purpose)
* [What the Script Does](#what-the-script-does)
* [Time-Scoped Log Filtering](#time-scoped-log-filtering)
* [Optional On-Host Analysis](#optional-on-host-analysis)
* [Output](#output)
* [Design Principles](#design-principles)
* [Important Notes](#important-notes)
* [Intended Audience](#intended-audience)
* [References](#references)
* [License](#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.
## 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
[^1]: **Original Research:** [Hunting MongoBleed (CVE-2025-14847)](https://blog.ecapuano.com/p/hunting-mongobleed-cve-2025-14847) by Eric Capuano
[^2]: [MongoBleed PoC](https://github.com/joe-desimone/mongobleed) by Joe Desimone
[^3]: [MongoDB Security Incident](https://doublepulsar.com/merry-christmas-day-have-a-mongodb-security-incident-9537f54289eb) by Kevin Beaumont
## License
* Use, modify, and adapt responsibly. Attribution appreciated.