Guessable Session Cookies Enable Authentication Bypass

CVE-2026-42365 exploits predictable session cookie generation in GeoVision LPC2011/LPC2211 network cameras running firmware version 1.10. The vulnerability allows attackers to brute force session identifiers through repeated HTTP requests to the web interface, completely bypassing authentication mechanisms. This is particularly concerning because GeoVision devices are widely deployed in critical infrastructure, surveillance networks, and enterprise security systems. Organizations running affected hardware face unauthorized access to camera feeds, device configuration, and potential lateral movement into networked environments—all without triggering standard credential-based alerts.

While this CVE currently maps to zero Casky skills, the underlying attack pattern aligns with credential-based access techniques that Claude AI and extended reasoning can detect through behavioral analysis. A practitioner using Casky would observe anomalous HTTP request patterns—rapid sequential connections attempting different session values, failed authentication attempts followed by successful access, or session tokens that fall into predictable ranges. By analyzing request timing, token entropy, and access sequences against MITRE ATT&CK patterns like T1110 (Brute Force) and T1078 (Valid Accounts), Claude's reasoning engine can flag the probabilistic indicators of session enumeration attacks. Future skill mapping should target session management weaknesses, allowing practitioners to correlate guessable cookie patterns with authentication bypass attempts before they result in compromise.