32 matches found
Remote Code Execution (RCE)
picklescan is vulnerable to Remote Code Execution RCE. The vulnerability is due to unsafe execution/deserialization because idlelib.pyshell.ModifiedInterpreter.runcode can execute untrusted code e.g., from malicious pickle data in the interpreter context...
Insecure Deserialization
picklescan is vulnerable to insecure deserialization. The vulnerability is due to the use of the loads function to execute remote pickle files, which allows an attacker to execute arbitrary code...
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...
CVE-2025-24357
vLLM is a library for LLM inference and serving. vllm/modelexecutor/weightutils.py implements hfmodelweightsiterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weightsonly parameter defaults to False. When torch.load loads malicious...
PYSEC-2025-58
vLLM is a library for LLM inference and serving. vllm/modelexecutor/weightutils.py implements hfmodelweightsiterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weightsonly parameter defaults to False. When torch.load loads malicious...
vLLM 代码问题漏洞
vLLM is a vLLM open source high throughput and memory efficient inference and service engine for LLM. A code issue vulnerability exists in versions of vLLM prior to v0.7.0 that stems from arbitrary code execution during unpickling when torch.load loads malicious pickle data...
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...
PYSEC-2024-23
Whoogle Search is a self-hosted metasearch engine. Versions 0.8.3 and prior have a limited file write vulnerability when the configuration options in Whoogle are enabled. The config function in app/routes.py does not validate the user-controlled name variable on line 447 and configdata variable o...
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...
PYSEC-2018-64
In conference-scheduler-cli, a pickle.load call on imported data allows remote attackers to execute arbitrary code via a crafted .pickle file, as demonstrated by Python code that contains an os.system call...
UBUNTU-CVE-2018-7889
gui2/viewer/bookmarkmanager.py in Calibre 3.18 calls cPickle.load on imported bookmark data, which allows remote attackers to execute arbitrary code via a crafted .pickle file, as demonstrated by Python code that contains an os.system call...