7 matches found
EUVD-2025-7051
Malicious code in bioql PyPI...
GPT Academic Command Injection Vulnerability (CNVD-2025-22740)
GPT Academic is an interface that provides pragmatic interactions for LLM grand language models such as GPT/GLM. GPT Academic suffers from a command injection vulnerability that stems from improper handling of user-supplied prompts in the manim plugin, which can be exploited by an attacker to cau...
CVE-2024-10954
In the manim plugin of binary-husky/gptacademic, versions prior to the fix, a vulnerability exists due to improper handling of user-provided prompts. The root cause is the execution of untrusted code generated by the LLM without a proper sandbox. This allows an attacker to perform remote code...
CVE-2024-10954
In the manim plugin of binary-husky/gptacademic, versions prior to the fix, a vulnerability exists due to improper handling of user-provided prompts. The root cause is the execution of untrusted code generated by the LLM without a proper sandbox. This allows an attacker to perform remote code...
CVE-2024-10954
CVE-2024-10954 affects the binary-husky/gpt_academic project’s manim plugin. The root cause is improper handling of user-provided prompts, leading to execution of untrusted code generated by the LLM without a sandbox. This enables remote code execution on the app backend when a malicious prompt i...
CVE-2024-10954 Prompt Injection Leading to RCE in binary-husky/gpt_academic Plugin `manim`
In the manim plugin of binary-husky/gptacademic, versions prior to the fix, a vulnerability exists due to improper handling of user-provided prompts. The root cause is the execution of untrusted code generated by the LLM without a proper sandbox. This allows an attacker to perform remote code...
GPT Academic 命令注入漏洞
GPT Academic is an interface that provides pragmatic interactions for LLM grand language models such as GPT/GLM. GPT Academic suffers from a command injection vulnerability that stems from improper handling of user-supplied prompts in the manim plugin, which can be exploited by an attacker to cau...