Arbitrary File Read via Upload Function in binary-husky/gpt_academic
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A vulnerability in the upload function of binary-husky/gpt_academic allows any user to read arbitrary files on the system, including sensitive files such as `config.py`. This issue affects the latest version of the product. An attacker can exploit this vulnerability by intercepting the websocket request during file upload and replacing the file path with the path of the file they wish to read. The server then copies the file to the `private_upload` folder and provides the path to the copied file, which can be accessed via a GET request. This vulnerability can lead to the exposure of sensitive system files, potentially including credentials, configuration files, or sensitive user data.
Our own answer: ranges merged, affected separated from platform-only, with confidence and review flags.
No remediation guidance has been written for this CVE yet, and no fixed version or vendor advisory is recorded against it.
SSVC signals action urgency (what to patch first), separate from CVSS which measures severity.
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