CVE-2026-0529 is a medium-severity vulnerability that exists in Packetbeat’s MongoDB protocol parser. This vulnerability allows improper validation of array indices (CWE-129), which could enable an attacker to cause overflow buffers (CAPEC-100). The vulnerability is triggered when an attacker sends a specially crafted payload to a monitored network interface where MongoDB protocol parsing is enabled.
The vulnerability has a CVSS score of 6.5, indicating a medium severity level. Risk to organizations includes potential disruption of services due to buffer overflow, which could lead to system crashes or unavailability of the MongoDB service. Organizations should prioritize patching this vulnerability to ensure their systems remain secure.
Currently, there is no known public exploit for this vulnerability, and it has not been added to the Known Exploited Vulnerabilities (KEV) catalog. However, the nature of the vulnerability suggests that it may become a target for attackers in the future, emphasizing the need for timely remediation.
Organizations should address this vulnerability promptly to mitigate potential risks. Immediate action is recommended to patch the affected systems and prevent any possible exploitation.
Vulnerability Details
The vulnerability description states that improper validation of array indices in Packetbeat’s MongoDB protocol parser can lead to buffer overflow conditions. The CVSS score of 6.5 indicates medium severity, and the attack vector is classified as adjacent network, with a low attack complexity and no privileges required. The vulnerability was published on January 14, 2026.
Technical Analysis
The root cause of this vulnerability is the improper validation of array indices, which can be exploited through specially crafted network traffic directed at the MongoDB protocol parser. The attack vector is adjacent network, and the attack complexity is low, requiring no privileges or user interaction. The impact on availability is high, as successful exploitation could crash the service.
Risk & Impact Analysis
The deployment of this vulnerability poses significant risks to organizations utilizing Packetbeat for MongoDB protocol parsing. The potential impact includes service disruptions and unavailability, which could lead to data access issues and affect operational continuity. Given the medium severity and the potential for exploitation, organizations should address this vulnerability in their priority patch cycle.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
All versions of Packetbeat prior to the security updates mentioned in the references are affected. Organizations should verify their current Packetbeat version and apply appropriate patches.
Mitigation & Remediation
To mitigate this vulnerability, organizations are advised to apply the latest security updates for Packetbeat. If a patch is not yet available, consider implementing network controls to restrict malicious traffic targeting the MongoDB protocol parser. Further, organizations may benefit from performing a penetration testing exercise to identify vulnerabilities in their network architecture.
Detection Guidance
To detect potential exploitation attempts, organizations should monitor network traffic for anomalous behavior associated with MongoDB traffic. Log indicators should include unexpected payload sizes and malformed requests directed at the MongoDB parser.
AppSecure Threat Intelligence Insight
CVE-2026-0529 highlights the importance of maintaining robust input validation mechanisms in network applications. Security teams should regularly review and update their security protocols to protect against similar vulnerabilities. For further insights on vulnerability management, consider exploring our blog on vulnerability management best practices and our guide on penetration testing methodology. Organizations must stay proactive in their security measures to defend against evolving threats.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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