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CVE-2025-14911VulnerabilityPublished Updated

CVE-2025-14911: MongoDB Mongo-c-driver · Buffer Overflow

Affects MongoDB Mongo-c-driverSource CVE Database V5

0

Not known to be exploited · CVSS 7.1 High : upgrade to 2.1.3 soon.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 4.0 base score
7.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 25% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2.1.3
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 27 Jan 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

What to do

Upgrade MongoDB Mongo-c-driver to 2.1.3.

Affected software

ProductAffectedFixed in
MongoDBMongo-c-driverAffected
  • <2.1.3
Fixed in
  • 2.1.3

AI-suggested

To mitigate CVE-2025-14911, organizations should monitor MongoDB and Mongo-c-driver vendor advisories closely for official patches and apply them promptly once released. If you cannot patch yet, implement strict input validation and sanitization on all GridFS metadata inputs, especially chunkSize parameters, to prevent malformed data from reaching the driver. Employ runtime protections such as memory safety tools, address space layout randomization (ASLR), and stack canaries to reduce the risk of successful exploitation. Restrict network access to MongoDB instances to trusted hosts and use firewall rules to limit exposure. Conduct thorough code reviews and security testing on applications interfacing with MongoDB GridFS to identify and remediate unsafe handling of metadata. Consider deploying intrusion detection systems (IDS) or anomaly detection to identify unusual GridFS metadata patterns indicative of exploitation attempts. Finally, educate development and operations teams about the vulnerability to ensure rapid response and remediation.

Description

User-controlled chunkSize metadata from MongoDB lacks appropriate validation allowing malformed GridFS metadata to overflow the bounding container.

References

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