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CVE-2025-14911: Vulnerability in MongoDB Mongo-c-driver

0
High
VulnerabilityCVE-2025-14911cvecve-2025-14911
Published: Tue Jan 27 2026 (01/27/2026, 17:29:21 UTC)
Source: CVE Database V5
Vendor/Project: MongoDB
Product: Mongo-c-driver

Description

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

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 02/26/2026, 23:13:32 UTC

Technical Analysis

CVE-2025-14911 is a vulnerability identified in the MongoDB Mongo-c-driver, specifically related to the handling of user-controlled chunkSize metadata within GridFS operations. GridFS is MongoDB's specification for storing and retrieving large files by dividing them into chunks. The vulnerability arises because the chunkSize metadata, which is user-controllable, lacks appropriate validation checks. This deficiency allows an attacker to craft malformed GridFS metadata that can overflow the bounding container allocated for chunkSize, leading to a classic buffer overflow condition categorized under CWE-120. The buffer overflow can corrupt adjacent memory, potentially causing application instability, crashes, or enabling arbitrary code execution if exploited successfully. The CVSS 4.0 vector indicates the vulnerability is remotely exploitable over the network (AV:N) with low attack complexity (AC:L), no privileges required (PR:L, meaning low privileges), no user interaction (UI:N), and no impact on confidentiality or integrity but high impact on availability (VA:H). The vulnerability affects all versions of the Mongo-c-driver as indicated by the affectedVersions field. No patches have been linked yet, and no known exploits are reported in the wild, but the potential for exploitation exists given the nature of the flaw. The vulnerability was reserved in December 2025 and published in January 2026, reflecting recent discovery and disclosure. This vulnerability is critical for applications using MongoDB's C driver for file storage and retrieval, especially those exposing GridFS metadata inputs to untrusted users or external sources.

Potential Impact

The impact of CVE-2025-14911 is significant for organizations using the MongoDB Mongo-c-driver, particularly those leveraging GridFS for large file storage. Exploitation can lead to memory corruption via buffer overflow, which may cause application crashes, denial of service, or potentially arbitrary code execution. This can disrupt critical services relying on MongoDB for data storage, impacting availability and operational continuity. Since the vulnerability can be exploited remotely without user interaction and requires only low privileges, attackers can leverage this flaw to compromise backend systems or escalate privileges within an environment. Organizations handling sensitive or critical data with MongoDB may face increased risk of service outages or data integrity issues if this vulnerability is exploited. The absence of known exploits currently provides a window for proactive mitigation, but the high CVSS score indicates a strong potential for impactful attacks once exploit code becomes available. The vulnerability also raises concerns for supply chain security where Mongo-c-driver is embedded in other software products.

Mitigation Recommendations

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. Until patches are available, 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.

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Technical Details

Data Version
5.2
Assigner Short Name
mongodb
Date Reserved
2025-12-18T18:37:45.996Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 6978fb014623b1157c3a8c95

Added to database: 1/27/2026, 5:50:57 PM

Last enriched: 2/26/2026, 11:13:32 PM

Last updated: 3/26/2026, 9:28:50 AM

Views: 179

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