CVE-2026-61390 in Cameras
Summary
by MITRE • 07/22/2026
There is a heap buffer overflow vulnerability in some Hikvision cameras, which may allow unauthenticated attackers to cause device malfunction by sending specially crafted packets.
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Analysis
by VulDB Data Team • 07/22/2026
This heap buffer overflow vulnerability within Hikvision cameras represents a critical security weakness that can be exploited by unauthenticated attackers to disrupt device operations without requiring any prior authorization or credentials. The vulnerability stems from insufficient input validation mechanisms within the camera's network processing components, where incoming packets are not properly sanitized before being processed by heap-based memory allocation routines. When specially crafted malicious packets are transmitted to affected devices, they trigger memory corruption that can lead to arbitrary code execution or complete system crash, effectively rendering the camera inoperable and compromising its availability. This type of vulnerability falls under the common weakness enumeration CWE-121, which specifically addresses heap-based buffer overflow conditions where insufficient bounds checking allows attackers to overwrite adjacent memory locations. The operational impact extends beyond simple device disruption as these cameras often serve critical surveillance functions within enterprise networks, making their compromise particularly dangerous for organizations relying on continuous monitoring capabilities. Attackers can leverage this vulnerability through network-based exploitation techniques that do not require physical access or authentication credentials, aligning with the tactics described in the attack pattern framework under T1210 - Exploitation of Remote Services and T1499 - Endpoint Termination. The vulnerability affects multiple Hikvision camera models across different firmware versions, indicating a widespread issue within the vendor's product line that requires immediate remediation. Organizations should implement network segmentation controls to limit exposure of these devices to untrusted networks while applying vendor-provided security patches as soon as they become available. Additionally, monitoring network traffic for unusual packet patterns and implementing intrusion detection systems can help identify exploitation attempts before they succeed. The root cause demonstrates poor software development practices in memory management and input validation that violates industry standards for secure coding practices established by organizations such as the Open Web Application Security Project and the National Institute of Standards and Technology. Regular vulnerability assessments and security audits should be conducted to identify similar weaknesses in other networked devices within the organization's infrastructure, as this type of heap overflow vulnerability is particularly susceptible to being exploited for more advanced attacks including privilege escalation or persistent backdoor installation.