CVE-2026-100908 in Eyeplus
Summary
by MITRE • 09/28/2026
A vulnerability has been found in Eyeplus 57.0.0.0308. This affects an unknown function of the component p2pcam HTTP Parser. Such manipulation leads to stack-based buffer overflow. The attack may be performed from remote. The exploit has been disclosed to the public and may be used.
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Analysis
by VulDB Data Team • 09/28/2026
The vulnerability identified in Eyeplus version 57.0.0.0308 represents a critical security flaw within the p2pcam HTTP Parser component, specifically affecting an unknown function responsible for processing incoming network requests. This software is commonly deployed in peer-to-peer camera systems and IoT devices that rely on web-based interfaces or API endpoints to manage video streams and device configurations. The core technical issue stems from improper bounds checking during the parsing of HTTP headers or request bodies. When a specially crafted, overly long input string is transmitted to this component, the application fails to validate the length of the data against the allocated buffer size on the stack. This lack of validation allows an attacker to write more data than the buffer can hold, resulting in a stack-based buffer overflow condition that corrupts adjacent memory locations including return addresses and saved frame pointers.
From a technical perspective, this flaw aligns with CWE-121, which defines stack-based buffer overflow as a type of vulnerability where a program writes data beyond the boundaries of a fixed-length stack buffer. The exploitation mechanism typically involves overwriting the function's return address on the call stack with a pointer to shellcode or other malicious instructions injected into the same buffer or adjacent memory regions. Because this component handles HTTP traffic, the attack vector is remote and network-based, allowing an unauthenticated attacker to trigger the vulnerability by sending malformed HTTP requests directly to the device over TCP/IP networks without requiring prior authentication credentials. The presence of a public exploit significantly lowers the barrier for entry, enabling less sophisticated threat actors to leverage existing tools rather than developing custom exploitation code from scratch.
The operational impact of this vulnerability is severe and potentially catastrophic depending on the deployment context. Successful exploitation allows an attacker to achieve arbitrary code execution with the privileges of the process running the HTTP parser service. In many embedded IoT devices like Eyeplus cameras, these services often run with elevated system permissions or root access. Consequently, a successful exploit can lead to complete device compromise, enabling the attacker to install persistent backdoors, exfiltrate sensitive video data, use the device as part of a botnet for distributed denial-of-service attacks, or pivot into other segments of the local network where trusted devices reside. The availability of public exploits means that automated scanning tools and opportunistic attackers are actively probing internet-facing instances of this software version, increasing the likelihood of successful compromise in unpatched environments.
Mitigation strategies must prioritize immediate remediation through vendor-provided updates if available, as patching addresses the root cause by implementing proper input validation and buffer length checks within the HTTP parser logic. Organizations relying on Eyeplus devices should verify their firmware versions against the manufacturer's security advisories and apply any released patches promptly. In cases where updating is not immediately feasible due to operational constraints or lack of vendor support, network-level controls such as firewall rules can be employed to restrict access to the affected service ports from untrusted networks. Additionally, deploying intrusion detection systems with signatures for known buffer overflow exploitation attempts may provide an additional layer of defense by blocking malicious payloads before they reach the vulnerable application logic. Continuous monitoring and segmentation of IoT devices into isolated network zones are also recommended to limit the blast radius in the event of a successful compromise.