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Critical Check Point Vulnerability Allows Remote Root Code Execution Without Authentication

Check Point patched CVE-2026-91843 (CVSS 9.8), an unauthenticated stack overflow enabling remote root code execution on Security Management and Log Servers.

Check Point issued a high-severity alert for CVE-2026-91843, a critical stack overflow (CVSS 9.8, solution sk1000155) in the unauthenticated login workflow of Security Management Server, Multi-Domain Security Management Server, Log Server, and Multi-Domain Log Server. Successful exploitation grants an unauthenticated remote attacker root-level code execution. Affected releases span R80 through R82.20 with Jumbo Hotfix takes at or below specified levels (e.g., R82.20 Take 44, R81.20 Take 166), with several older versions end of support. A LivePatch is available and offline urgent bundles (R81.20-R82.20 Takes 28-29) were released; Smart-1 Cloud is already protected.

Parallels Desktop flaw hands any local user root on a Mac (CVE-2026-90894)

CVE-2026-90894 in Parallels Desktop for Mac lets any local user gain root via argument injection; patched in v27.0.0, PoC withheld.

JFrog researchers disclosed CVE-2026-90894, an argument injection flaw in Parallels Desktop for Mac v26.4.0 on Apple silicon that lets any local user gain root on the host. The chain combines a world-writable Unix socket for prl_disp_service (which runs as root), weak peer-credential authentication, and argument injection via --use-compress-program in the appliance extraction tar path. Alludo fixed the flaw in Parallels Desktop v27.0.0 in early September 2026; JFrog published technical details but withheld its proof-of-concept script.

Help Net Securityupdated · 20h agofirst · 20h agoVulnerability 4 sourcesCVE-2026-90894

Threat actors are coming for your AI assets to operationalize their use of AI

Google GTIG reports espionage and crime groups stealing AI models, prompts, and API credentials, plus distillation campaigns and agentic AI attack automation.

Google Threat Intelligence Group's quarterly AI Threat Tracker reports adversaries stealing proprietary models, source code, prompts, and API credentials from government, healthcare, and media targets, including China-based UNC6508 compromising clouds to run unauthorized LLM workloads. Distillation campaigns against Google's models exceeded 100 million prompts launched via thousands of stolen account credentials through proxy networks. Mandiant also observed a financially motivated actor deploy an autonomous multi-agent framework that harvested thousands of third-party credentials in under 6 hours, and a 'Recon' framework on a live C2 server managing over 23,000 stolen credentials including cloud and AI API keys.

CSO Online · 2d agoThreat actor in the wild