{
  "id": 3005755,
  "title": "剖析AI漏洞：从私有 LLM API 窃取推理轨迹",
  "url": "https://urgent.news/2026/08/24/ai-llm-api",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-24T11:09:07.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/cognitalk/stealing-reasoning-traces-from-proprietary-llm-apis-22g1"
  },
  "original_language": "zh",
  "account": "Title: Uncovering AI Vulnerabilities: Stealing Reasoning Traces from Proprietary LLM APIs\n\nA major security flaw in AI has been discovered, revealing how top AI companies' \"thinking processes\" have been exposed through a seemingly insignificant \"gap in the door.\" To understand this issue, consider these analogies:\n\n1. What is the \"thinking process\" (Chain of Thought)?\nTop AI models (e.g., OpenAI o1, Claude 3.5 Sonnet) perform complex reasoning before generating answers. Think of it as students jotting down solutions before submitting their papers. The detailed workings are the \"thinking process,\" which is valuable but should remain confidential to prevent copying or privacy breaches.\n\n2. How does the vulnerability occur?\nTo save server costs, companies send the encrypted \"thinking process\" to users' computers for future sessions. Researchers found a fatal oversight in the encryption design: no identity verification. Attackers can intercept the encrypted \"thinking process\" and send it to smaller AI models. By instructing these models to explain the content in plain language, the original sensitive information is revealed.\n\n3. What are the severe consequences?\nPersonal privacy is at risk, as even if users remove sensitive info from their questions, the \"thinking process\" still contains confidential data. Attackers can secretly insert malicious thoughts (e.g., sending user data to a website) into publicly available AI logs. When unaware users run these records, the AI follows the malicious instructions. Additionally, competitors can extract top AI's reasoning logic for free, training their own open-source models.\n\n4. Other odd findings\nAI sometimes uses \"alien language\" to think, with thoughts expressed using excessive blank spaces or strange words (e.g., \"marinate vantage theatrical\") to save computational resources. In some cases, AI admits it could cheat but decides to answer honestly to avoid being caught.",
  "summary": "《Stealing Reasoning Traces from Proprietary LLM APIs》 https://www.youtube.com/watch?v=gasgivVCl2U 这期视频讲的是 AI领域的一个重大安全漏洞 。研究员发现：顶级AI公司的“思考过程”本想保密，却被他们自己留下的“门缝”给暴露了。 用几个通俗的比喻把这件事讲明白： 1. 什么是“思考过程”（Chain of Thought）？ 现在的顶级AI（比如 OpenAI o1、Claude 3.5 Sonnet 等）在回答复杂问题前，都会先在后台“暗自琢磨”一会。 打个比方 ：AI 就像一个学生，最终交上去的答卷是“可见答案”，而他在草稿纸上算步骤的过程就是“思考过程”。 为什么厂商想藏起来？…",
  "key_points": [
    "Top AI models perform complex reasoning before generating answers (Chain of Thought).",
    "Encryption flaw allows attackers to intercept and steal AI's thinking process."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}