Note:
This project will be discontinued after December 13, 2021. [more]
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-2024-10819 | 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 | ||
2024-10-17 | CVE-2024-10100 | A path traversal vulnerability exists in binary-husky/gpt_academic version 3.83. The vulnerability is due to improper handling of the file parameter, which is open to path traversal through URL encoding. This allows attackers to view any file on the host system, including sensitive files such as critical application files, SSH keys, API keys, and configuration values. | Gpt_academic | 7.5 | ||
2024-10-17 | CVE-2024-10101 | A stored cross-site scripting (XSS) vulnerability exists in binary-husky/gpt_academic version 3.83. The vulnerability occurs at the /file endpoint, which renders HTML files. Malicious HTML files containing XSS payloads can be uploaded and stored in the backend, leading to the execution of the payload in the victim's browser when the file is accessed. This can result in the theft of session cookies or other sensitive information. | Gpt_academic | N/A | ||
2023-05-31 | CVE-2023-33979 | gpt_academic provides a graphical interface for ChatGPT/GLM. A vulnerability was found in gpt_academic 3.37 and prior. This issue affects some unknown processing of the component Configuration File Handler. The manipulation of the argument file leads to information disclosure. Since no sensitive files are configured to be off-limits, sensitive information files in some working directories can be read through the `/file` route, leading to sensitive information leakage. This affects users that... | Gpt_academic | 6.5 | ||
2025-03-03 | CVE-2025-25185 | GPT Academic provides interactive interfaces for large language models. In 3.91 and earlier, GPT Academic does not properly account for soft links. An attacker can create a malicious file as a soft link pointing to a target file, then package this soft link file into a tar.gz file and upload it. Subsequently, when accessing the decompressed file from the server, the soft link will point to the target file on the victim server. The vulnerability allows attackers to read all files on the server. | Gpt_academic | 7.5 |