All news with #cross site request forgery tag

⚠ OpenPLC_V3 contains a Cross‑Site Request Forgery (CSRF) vulnerability that can be exploited remotely to modify PLC settings or upload malicious programs. Tracked as CVE-2025-13970, the issue affects versions prior to pull request #310 and results from missing CSRF validation. A CVSS v4 score of 7.0 (and v3 base 8.0) was calculated. Apply pull request #310 or later to mitigate this risk and limit network exposure of control devices.

🔒 Siemens reported Cross-Site Request Forgery and incorrect permission assignment vulnerabilities affecting SICAM P850 and P855 devices (versions prior to 3.11). Exploitation could allow attackers to perform actions as authenticated users or impersonate sessions. Siemens recommends updating to v3.11+, restricting TCP/443 to trusted IPs, and hardening network access; CISA advises isolating control networks and avoiding internet exposure.

⚠️ Researchers at LayerX disclosed a vulnerability in ChatGPT Atlas that can let attackers inject hidden instructions into a user's memory via a CSRF vector, contaminating stored context and persisting across sessions and devices. The exploit works by tricking an authenticated user to visit a malicious page which issues a CSRF request to silently write memory entries that later influence assistant responses. Detection requires behavioral hunting—correlating browser logs, exported chats and timestamped memory changes—since there are no file-based indicators. Administrators are advised to limit Atlas in enterprise pilots, export and review chat histories, and treat affected accounts as compromised until memory is cleared and credentials rotated.

⚠️ Researchers disclosed a CSRF-based vulnerability in ChatGPT Atlas that can inject malicious instructions into the assistant's persistent memory, potentially enabling arbitrary code execution, account takeover, or malware deployment. LayerX warns that corrupted memories persist across devices and sessions until manually deleted and that Atlas' anti-phishing defenses lag mainstream browsers. The flaw converts a convenience feature into a persistent attack vector that can be invoked during normal prompts.

🔒 This article explains how web cookies work, their classifications, and why session IDs are particularly valuable to attackers. It outlines common attack methods — including session sniffing over HTTP, cross‑site scripting (XSS), cross‑site request forgery (CSRF), and predictable session IDs — and describes specialized tracking like supercookies and evercookies. Practical advice for users and developers covers HTTPS, browser updates, cookie management, two‑factor authentication, cautious use of public Wi‑Fi, and preferring essential cookies only.