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GitLab’s critical flaw is already drawing internet-wide probes
GitLab patches two critical flaws (CVE-2026-85706 CVSS 10.0, CVE-2026-87719) as WatchTowr observes internet-wide probing of the unauthenticated file-read bug.
GitLab released emergency patches for two high-severity flaws in Community and Enterprise Editions, urging self-managed operators to upgrade immediately while saying its hosted and Dedicated offerings are fixed or unaffected. CVE-2026-85706 (CVSS 10.0) is a path traversal in the repository commits interface that lets unauthenticated attackers read any file on the server and affects releases 18.7 through 19.1.8 plus the 19.2 and 19.3 lines before patching. CVE-2026-87719 (CVSS 9.9, Enterprise Edition only) lets a logged-in Duo Chat user hide a command in a request that triggers Advanced Search settings and password disclosure. WatchTowr Labs reported it is already watching probes that can trigger the path traversal flaw in a single HTTP request, though CISA had not added either issue to the KEV list as of Friday afternoon.
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AI lets small actors run state-level hacking campaigns, Anthropic report finds
Anthropic's threat report finds AI let a Russian-aligned espionage campaign, a Chinese student-run exploit foundry and ShinyHunters operators run state-grade operations.
Anthropic's report covering December 2025 to August 2026 details a Russian-aligned espionage campaign by actor 'JackPoterz' — matching Midnight Blizzard behaviors — against more than 20 government and defense organizations across Ukraine and Europe, with AI agents autonomously rebuilding Windows implants to evade detections. Chinese undergraduates ran an automated vulnerability-research foundry using Claude agent swarms, yielding more than a dozen potential zero-days in one month. ShinyHunters-affiliated operators used AI to dump over 2,100 Azure access tokens across 40 corporate tenants in 34 hours. Seven Chinese labs including Alibaba, DeepSeek, Moonshot AI, Xiaomi and Zhipu distilled Claude outputs; Alibaba peaked at nearly 3 million exchanges per day from more than 3,500 fraudulent accounts to train its Qwen systems.
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