Total
29 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-0764 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 9.8 CRITICAL |
| GPT Academic upload Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Authentication is not required to exploit this vulnerability. The specific flaw exists within the upload endpoint. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27957. | |||||
| CVE-2026-0763 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 9.8 CRITICAL |
| GPT Academic run_in_subprocess_wrapper_func Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Authentication is not required to exploit this vulnerability. The specific flaw exists within the run_in_subprocess_wrapper_func function. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27958. | |||||
| CVE-2026-0762 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 8.1 HIGH |
| GPT Academic stream_daas Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Interaction with a malicious DAAS server is required to exploit this vulnerability but attack vectors may vary depending on the implementation. The specific flaw exists within the stream_daas function. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27956. | |||||
| CVE-2025-25185 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 7.5 HIGH |
| 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. | |||||
| CVE-2025-10236 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | 4.0 MEDIUM | 4.3 MEDIUM |
| A vulnerability has been found in binary-husky gpt_academic up to 3.91. Impacted is the function merge_tex_files_ of the file crazy_functions/latex_fns/latex_toolbox.py of the component LaTeX File Handler. Such manipulation of the argument \input{} leads to path traversal. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way. | |||||
| CVE-2025-0183 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 5.4 MEDIUM |
| A stored cross-site scripting (XSS) vulnerability exists in the Latex Proof-Reading Module of binary-husky/gpt_academic version 3.9.0. This vulnerability allows an attacker to inject malicious scripts into the `debug_log.html` file generated by the module. When an admin visits this debug report, the injected scripts can execute, potentially leading to unauthorized actions and data access. | |||||
| CVE-2024-31224 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 9.8 CRITICAL |
| GPT Academic provides interactive interfaces for large language models. A vulnerability was found in gpt_academic versions 3.64 through 3.73. The server deserializes untrustworthy data from the client, which may risk remote code execution. Any device that exposes the GPT Academic service to the Internet is vulnerable. Version 3.74 contains a patch for the issue. There are no known workarounds aside from upgrading to a patched version. | |||||
| CVE-2024-12392 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 6.5 MEDIUM |
| A Server-Side Request Forgery (SSRF) vulnerability exists in binary-husky/gpt_academic version git 310122f. The application has a functionality to download papers from arxiv.org, but the URL validation is incomplete. An attacker can exploit this vulnerability to make the application access any URL, including internal services, and read the response. This can be used to access data that are only accessible from the server, such as AWS metadata credentials, and can escalate local exploits to network-based attacks. | |||||
| CVE-2024-12391 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 6.5 MEDIUM |
| A vulnerability in binary-husky/gpt_academic, as of commit 310122f, allows for a Regular Expression Denial of Service (ReDoS) attack. The function '解析项目源码（手动指定和筛选源码文件类型）' permits the execution of user-provided regular expressions. Certain regular expressions can cause the Python RE engine to take exponential time to execute, leading to a Denial of Service (DoS) condition. An attacker who controls both the regular expression and the search string can exploit this vulnerability to hang the server for an arbitrary amount of time. | |||||
| CVE-2024-12390 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 8.8 HIGH |
| A vulnerability in binary-husky/gpt_academic version git 310122f allows for remote code execution. The application supports the extraction of user-provided RAR files without proper validation. The Python rarfile module, which supports symlinks, can be exploited to perform arbitrary file writes. This can lead to remote code execution by writing to sensitive files such as SSH keys, crontab files, or the application's own code. | |||||
| CVE-2024-12389 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 8.8 HIGH |
| A path traversal vulnerability exists in binary-husky/gpt_academic version git 310122f. The application supports the extraction of user-provided 7z files without proper validation. The Python py7zr package used for extraction does not guarantee that files will remain within the intended extraction directory. An attacker can exploit this vulnerability to perform arbitrary file writes, which can lead to remote code execution. | |||||
| CVE-2024-12388 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 6.5 MEDIUM |
| A vulnerability in binary-husky/gpt_academic version 310122f allows for a Regular Expression Denial of Service (ReDoS) attack. The application uses a regular expression to parse user input, which can take polynomial time to match certain crafted inputs. This allows an attacker to send a small malicious payload to the server, causing it to become unresponsive and unable to handle any requests from other users. | |||||
| CVE-2024-12387 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 6.5 MEDIUM |
| A vulnerability in the binary-husky/gpt_academic repository, as of commit git 3890467, allows an attacker to crash the server by uploading a specially crafted zip bomb. The server decompresses the uploaded file and attempts to load it into memory, which can lead to an out-of-memory crash. This issue arises due to improper input validation when handling compressed file uploads. | |||||
| CVE-2024-11039 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 8.8 HIGH |
| 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 vulnerability is fixed in commit 91f5e6b. | |||||
| CVE-2024-11037 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 6.5 MEDIUM |
| A path traversal vulnerability exists in binary-husky/gpt_academic at commit 679352d, which allows an attacker to bypass the blocked_paths protection and read the config.py file containing sensitive information such as the OpenAI API key. This vulnerability is exploitable on Windows operating systems by accessing a specific URL that includes the absolute path of the project. | |||||
| CVE-2024-11033 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 6.5 MEDIUM |
| 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. | |||||
| CVE-2024-11031 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 7.5 HIGH |
| 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翻译中) 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. | |||||
| CVE-2024-11030 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 7.5 HIGH |
| 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. | |||||
| CVE-2024-10986 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 8.8 HIGH |
| 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. | |||||
| CVE-2024-10956 | 1 Binary-husky | 1 Gpt Academic | 2026-06-17 | N/A | 7.1 HIGH |
| 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. | |||||