EUVD-2025-210413

picklescan before 0.0.33 fails to detect malicious pickle files using numpy.f2py.crackfortran.parameval function in reduce methods, allowing attackers to bypass security checks. Remote attackers can embed undetected code in pickle files that executes during deserialization, enabling arbitrary cod...

SGLanG: Multimodal scheduler deserializes untrusted pickle data on 0.0.0.0 ROUTER socket

SGLang's multimodal generation runtime scheduler's ROUTER socket binds to 0.0.0.0 by default and contains a sink that calls pickle.loads on incoming messages, enabling RCE when exposed to the internet...

Remote Code Execution (RCE)

picklescan is vulnerable to Remote Code Execution RCE. The vulnerability is due to improper handling of untrusted pickle data in the function’s reduce flow, which allows an attacker to craft a malicious pickle that bypasses the victim’s Picklescan check and achieve arbitrary code execution when t...

PYSEC-2025-222

vllm-project vllm version 0.6.0 contains a vulnerability in the AsyncEngineRPCServer RPC server entrypoints. The core functionality runserverloop calls the function makehandlercoro, which directly uses cloudpickle.loads on received messages without any sanitization. This can result in remote code...

Deserialization Of Untrusted Data

MindsDB is vulnerable to Deserialization of Untrusted Data. The vulnerability is caused due to improper deserialization of untrusted pickle data in the finetune method within byomhandler.py, which allows the execution of arbitrary code on the server during the 'finetune' process...

GHSA-9FQ2-X9R6-WFMF Numpy Deserialization of Untrusted Data

DISPUTED An issue was discovered in NumPy 1.16.2 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior...