AI-generated content is increasingly proliferating online, prompting the development of 11 reliable AI content detectors to spot synthetic media, including text, images, and audio. These tools and technologies are essential in recognizing AI and video misinformation, as highlighted by The New York Times. A recent incident highlighted the risks associated with AI-generated code, where a wallet was compromised using GPT-generated code containing a backdoor. Additionally, malicious Python packages impersonating AI models like ChatGPT and Claude have been found on PyPI, used to deploy the information stealer JarkaStealer. Users are advised to stay vigilant against fake AI video tools spreading malware.
Alert! Fake #AI Video Tools Are Being Used To Spread Malware: Here’s How To Stay Safe https://t.co/Hx61RubHmR
🛑 Malicious Python packages impersonating AI models like ChatGPT and Claude have been found on PyPI. They’ve been used to deploy a dangerous information stealer, JarkaStealer. Discover the full extent of this attack — https://t.co/YhvgD98wJg #cybersecurity
看了下,这位朋友的钱包还真是被 AI 给“黑”了…用 GPT 给出的代码来写 bot,没想到 GPT 给的代码是带后门的,会将私钥发给钓鱼网站…😵💫 玩 GPT/Claude 等 LLM 时,一定要注意,这些 LLM 存在普遍性欺骗行为。之前提过 AI 投毒攻击,现在这起算是针对 Crypto 行业的真实攻击案例了。 https://t.co/N9o8dPE18C