CVE-2026-4359 in C Driver
Summary
by MITRE • 03/17/2026
A compromised third party cloud server or man-in-the-middle attacker could send a malformed HTTP response and cause a crash in applications using the MongoDB C driver.
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Analysis
by VulDB Data Team • 03/21/2026
This vulnerability represents a critical security flaw in the MongoDB C driver that could be exploited through malformed HTTP responses delivered via compromised cloud servers or man-in-the-middle attacks. The issue stems from inadequate input validation within the driver's HTTP response processing logic, creating a potential denial of service condition that could crash applications relying on MongoDB connectivity. The vulnerability specifically affects systems where the MongoDB C driver handles HTTP communications, particularly in environments where third-party cloud services are utilized. Attackers leveraging this weakness could exploit the lack of proper response sanitization to inject malformed data that triggers memory corruption or buffer overflows within the driver's processing functions, ultimately leading to application crashes and service disruption.
The technical implementation of this vulnerability involves the driver's failure to properly validate HTTP response structures before processing them, creating an attack surface where malicious actors can craft specifically designed responses that exploit memory handling inconsistencies. This flaw aligns with CWE-129, which addresses issues related to insufficient input validation, and CWE-122, which covers buffer overflow conditions that can occur due to improper memory management. The vulnerability's exploitation requires an attacker to either compromise a third-party cloud server that the driver communicates with or position themselves within the network path to intercept and modify HTTP responses. This attack vector is particularly concerning as it can be executed without requiring authentication or elevated privileges, making it accessible to a broad range of threat actors.
From an operational impact perspective, applications using the affected MongoDB C driver could experience unexpected service interruptions and application crashes, potentially leading to data unavailability and business disruption. The vulnerability's exploitation can result in cascading failures across dependent systems, particularly in distributed environments where MongoDB serves as a critical data store. Organizations utilizing cloud-based MongoDB deployments or applications that rely on HTTP communication with MongoDB services face heightened risk, as the attack can be executed through compromised infrastructure or network interception. The timing of such attacks could be particularly damaging, as they may occur during critical business operations or system maintenance windows, amplifying their operational consequences.
Mitigation strategies should prioritize immediate patching of affected MongoDB C driver versions, with organizations implementing network monitoring to detect anomalous HTTP response patterns that could indicate exploitation attempts. Security teams should also consider implementing network segmentation and traffic filtering to reduce exposure to compromised third-party services, while establishing robust input validation processes for all HTTP communications. The implementation of intrusion detection systems capable of identifying malformed HTTP responses and establishing secure communication channels through TLS encryption can further reduce the attack surface. Organizations should conduct comprehensive vulnerability assessments to identify all systems utilizing the affected driver version and implement monitoring protocols to detect potential exploitation attempts. Additionally, maintaining updated threat intelligence regarding compromised cloud services and implementing zero-trust network architectures can provide additional layers of defense against this class of attack.