OpenAI 黑客攻击：研究人员使用 Anthropic 的 Claude AI 破坏 ChatGPT Maker 的安全

來源參考來源記錄 2026年9月18日上午7:28 [UTC]

出版商: coingape.com
來源連結: coingape.comhttps://coingape.com/openai-hack-researchers-used-anthropics-claude-ai-breach-chatgpt-makers-security/
來源類型: 連結來源－主要來源狀態尚未確定。

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從這裡開始

發生了什麼事

Researchers at Hacktron AI used Anthropic's Claude models to hack and gain access to an OpenAI employee's ChatGPT and Codex accounts. They successfully managed to reach connected services including Outlook, Slack, GitHub, and others. The team then stopped testing and reported the issues to Discourse and OpenAI. OpenAI has also confirmed a fix within about 14 hours and paid a $6,500 bounty.

Researchers at Hacktron AI used Anthropic's Claude models to hack and gain access to an OpenAI employee's ChatGPT and Codex accounts.

They successfully managed to reach connected services including Outlook, Slack, GitHub, and others.

The team then stopped testing and reported the issues to Discourse and OpenAI.

OpenAI has also confirmed a fix within about 14 hours and paid a $6,500 bounty.

來源詳情: coingape.com ↗

為什麼這很重要

This incident highlights the potential risks of AI hacking and the need for developers and security teams to move fast to have AI on the cybersecurity side. It also raises concerns about the safety and security of AI models and the potential consequences of their misuse.

This incident highlights the potential risks of AI hacking and the need for developers and security teams to move fast to have AI on the cybersecurity side.

It also raises concerns about the safety and security of AI models and the potential consequences of their misuse.

The development of AI models and their potential applications in cybersecurity is a rapidly evolving field.

The need for developers and security teams to move fast to have AI on the cybersecurity side is crucial in today's digital landscape.

Interactive Mechanism

互動機制：它實際上是如何運作的

以互動方式探索這項發展背後的基礎技術。

System Requirements:Requires daily/real-time factual data updates?Requires direct source citations / verifiable audit trails?Requires unique domain formatting or specialized dialect?

Best ArchitecturePure RAGRecommended pattern

Hallucination RiskVery LowGrounding efficacy

Update Cost$0 (Vector sync)Ongoing maintenance

Core takeaway: Fine-tuning teaches models how to speak (form, style, syntax); RAG teaches models what to say (verifiable facts). Never use fine-tuning alone for factual memory.

互動式概念檢查+10 Points

AI Safety Quiz

How does the guide frame AI safety risk across current and advanced systems?

接下來看什麼

The development of AI models and their potential applications in cybersecurity. The need for developers and security teams to move fast to have AI on the cybersecurity side. The potential consequences of AI hacking and the need for safety and security measures.

The development of AI models and their potential applications in cybersecurity.

The need for developers and security teams to move fast to have AI on the cybersecurity side.

The potential consequences of AI hacking and the need for safety and security measures.

The role of AI in cybersecurity and its potential impact on the industry.