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CVE-2024-10948
No affected components available
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.
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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