Qwen is a technology platform referenced in cybersecurity context related to AI-enabled systems.
Qwen is a technology platform referenced in cybersecurity context related to AI-enabled systems. The latest reporting centers on a critical vulnerability in NOFX's AI Automated Trading System, illustrating how AI-powered financial tools can become high-value attack surfaces and underscoring the need for rapid remediation and ongoing monitoring of AI-driven platforms.
Recent reports indicate that state-linked hackers are leveraging artificial intelligence to enhance their cyber capabilities, posing significant risks to national utilities and intellectual property. Additionally, a US…
Anthropic's AI tool, Claude Code, was found to contain hidden tracking mechanisms targeting Chinese users, raising significant privacy concerns. The covert detection logic, embedded since April 2, 2026, identified users…
A remote code execution vulnerability has been identified in the SGLang framework, specifically affecting the reranking endpoint (/v1/rerank) and tracked as CVE-2026-5760. This flaw allows attackers to exploit…
A Chinese-speaking threat actor, identified as knaithe/KnYuan, executed an autonomous cyberattack campaign using DeepSeek AI and the Hermes Agent framework. The campaign targeted over 460 servers, attempting to exploit…
SlowMist identified a critical vulnerability in the NOFX AI automated trading system, which shipped with an 'admin mode' enabled by default, allowing unauthorized access to sensitive API and private wallet keys. Users…
SlowMist identified a critical vulnerability in the NOFX AI trading system, which shipped with an 'admin mode' enabled by default and lacked proper authentication. This flaw allows unauthorized access to sensitive API…
Romance scams are evolving as criminals utilize AI tools to enhance their operations, leading to more organized and scalable fraud. The FBI and cybersecurity experts warn that these scams exploit emotional connections…
Microsoft researchers revealed that a benign prompt can disable safety features in 15 major language models. The technique, known as GRP-Obliteration, exploits a training method called Group Relative Policy…