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人工智能重要漏洞通报(2026年第六期)
Флешки, ноутбуки и чемоданы налички. Полиция вскрыла масштабную схему по краже игровых аккаунтов
Copy Fail:横扫所有Linux,成为最危险的提权漏洞
OT系统的零信任应该从边界开始而不是锅炉房
Automated LLM red teaming gets a learning layer
Automated red teaming of large language models has settled into a familiar pattern over the past two years. An attacker model generates jailbreak attempts against a target model, an evaluator scores the results, and the cycle repeats. Two approaches dominate. One asks the attacker to invent strategies through trial and error, which tends to produce a narrow band of successful attacks. The other, exemplified by the WildTeaming framework, draws from large open-source pools of harmful … More →
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人工验真!Linux提权漏洞,影响这么多信创!(附稳定验证PoC)
CVE-2025-41242
CVE-2024-38475
Bad bots make up 40% of internet traffic
The normalization of AI and automation within internet infrastructure is changing how organizations interpret traffic. Activity that once appeared anomalous is now treated as expected behavior. AI agents have emerged as a third category of automated traffic alongside good and bad bots, according to the Thales 2026 Bad Bot Report: Bad Bots in the Agentic Age. The distinction between legitimate and malicious automation is difficult to define because both operate through similar channels, workflows, and … More →
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