Product:

Gpt_academic

(Binary\-Husky)
Repositories

Unknown:

This might be proprietary software.
#Vulnerabilities 14
Date Id Summary Products Score Patch Annotated
2025-03-20 CVE-2024-10714 A vulnerability in binary-husky/gpt_academic version 3.83 allows an attacker to cause a Denial of Service (DoS) by adding excessive characters to the end of a multipart boundary during file upload. This results in the server continuously processing each character and displaying warnings, rendering the application inaccessible. The issue occurs when the terminal shows a warning: 'multipart.multipart Consuming a byte '0x2d' in end state'. Gpt_academic N/A
2025-03-20 CVE-2024-10956 GPT Academy version 3.83 in the binary-husky/gpt_academic repository is vulnerable to Cross-Site WebSocket Hijacking (CSWSH). This vulnerability allows an attacker to hijack an existing WebSocket connection between the victim's browser and the server, enabling unauthorized actions such as deleting conversation history without the victim's consent. The issue arises due to insufficient WebSocket authentication and lack of origin validation. Gpt_academic 7.1
2025-03-20 CVE-2024-11031 In version 3.83 of binary-husky/gpt_academic, a Server-Side Request Forgery (SSRF) vulnerability exists in the Markdown_Translate.get_files_from_everything() API. This vulnerability is exploited through the HotReload(Markdown???) plugin function, which allows downloading arbitrary web hosts by only checking if the link starts with 'http'. Attackers can exploit this vulnerability to abuse the victim GPT Academic's Gradio Web server's credentials to access unauthorized web resources. Gpt_academic 7.5
2025-03-20 CVE-2024-10812 An open redirect vulnerability exists in binary-husky/gpt_academic version 3.83. The vulnerability occurs when a user is redirected to a URL specified by user-controlled input in the 'file' parameter without proper validation or sanitization. This can be exploited by attackers to conduct phishing attacks, distribute malware, and steal user credentials. Gpt_academic N/A
2025-03-20 CVE-2024-10819 A Cross-Site Request Forgery (CSRF) vulnerability in version 3.83 of binary-husky/gpt_academic allows an attacker to trick a user into uploading files without their consent, exploiting their session. This can lead to unauthorized file uploads and potential system compromise. The uploaded file can contain malicious scripts, leading to stored Cross-Site Scripting (XSS) attacks. Through stored XSS, an attacker can steal information about the victim and perform any action on their behalf. Gpt_academic 8.8
2025-03-20 CVE-2024-10950 In binary-husky/gpt_academic version <= 3.83, the plugin `CodeInterpreter` is vulnerable to code injection caused by prompt injection. The root cause is the execution of user-provided prompts that generate untrusted code without a sandbox, allowing the execution of parts of the LLM-generated code. This vulnerability can be exploited by an attacker to achieve remote code execution (RCE) on the application backend server, potentially gaining full control of the server. Gpt_academic N/A
2025-03-20 CVE-2024-10986 GPT Academic version 3.83 is vulnerable to a Local File Read (LFI) vulnerability through its HotReload function. This function can download and extract tar.gz files from arxiv.org. Despite implementing protections against path traversal, the application overlooks the Tarslip triggered by symlinks. This oversight allows attackers to read arbitrary local files from the victim server. Gpt_academic N/A
2025-03-20 CVE-2024-11030 GPT Academic version 3.83 is vulnerable to a Server-Side Request Forgery (SSRF) vulnerability through its HotReload plugin function, which calls the crazy_utils.get_files_from_everything() API without proper sanitization. This allows attackers to exploit the vulnerability to abuse the victim GPT Academic's Gradio Web server's credentials to access unauthorized web resources. Gpt_academic 7.5
2025-03-20 CVE-2024-11033 A Denial of Service (DoS) vulnerability exists in the file upload feature of binary-husky/gpt_academic version 3.83. The vulnerability is due to improper handling of form-data with a large filename in the file upload request. An attacker can exploit this vulnerability by sending a payload with an excessively large filename, causing the server to become overwhelmed and unavailable for legitimate users. Gpt_academic 6.5
2025-03-20 CVE-2024-11039 A pickle deserialization vulnerability exists in the Latex English error correction plug-in function of binary-husky/gpt_academic versions up to and including 3.83. This vulnerability allows attackers to achieve remote command execution by deserializing untrusted data. The issue arises from the inclusion of numpy in the deserialization whitelist, which can be exploited by constructing a malicious compressed package containing a merge_result.pkl file and a merge_proofread_en.tex file. The... Gpt_academic N/A