HomeChatGPT Flaw Exposed: Prompt Injection Bypasses File Access Limits
A recent disclosure by security researcher zer0dac highlights a vulnerability in ChatGPT, which could allow attackers to circumvent file access controls through prompt injection and path traversal. OpenAI has since implemented fixes to address the reported issue.
The flaw centers on how ChatGPT processes uploaded documents. Typically, the platform restricts direct downloads of original files, responding with a message that such content is temporary and cannot be extracted.
zer0dac identified a workaround during testing: by asking ChatGPT to edit an uploaded file and then requesting a download link under the pretense of accidental deletion, users can generate a valid URL. This link not only exposes internal retrieval paths but also enables path traversal attacks to access files outside the intended directory.
While the existing sandbox limits direct access to highly sensitive data, this vulnerability could serve as a critical step in broader attack chains. OpenAI has responded by refining the logic for generating download URLs, effectively mitigating the risk of internal path exposure. This case underscores the importance of rigorous input filtering and strict permission isolation in securing large language model applications.
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A recent disclosure by security researcher zer0dac highlights a vulnerability in ChatGPT, which could allow attackers to circumvent file access controls through prompt injection and path traversal. OpenAI has since implemented fixes to address the reported issue.
The flaw centers on how ChatGPT processes uploaded documents. Typically, the platform restricts direct downloads of original files, responding with a message that such content is temporary and cannot be extracted.
zer0dac identified a workaround during testing: by asking ChatGPT to edit an uploaded file and then requesting a download link under the pretense of accidental deletion, users can generate a valid URL. This link not only exposes internal retrieval paths but also enables path traversal attacks to access files outside the intended directory.
While the existing sandbox limits direct access to highly sensitive data, this vulnerability could serve as a critical step in broader attack chains. OpenAI has responded by refining the logic for generating download URLs, effectively mitigating the risk of internal path exposure. This case underscores the importance of rigorous input filtering and strict permission isolation in securing large language model applications.
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