Remote Code Execution
797 entries
Every Remote Code Execution entry VulnWatch has indexed, sorted by publication date.
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Arbitrary Code Execution via Crafted Keras Config for Model Loading
### Impact The Keras `Model.load_model` function permits arbitrary code execution, even with `safe_mode=True`, through a manually constructed, malicious `.keras` archive. By altering the `config.json...
vllm: Malicious model to RCE by torch.load in hf_model_weights_iterator
### Description The vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It use torch.load function and weights_...
PYSEC-2025-58
vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses th...
Deserialization of Untrusted Data in Hugging Face Transformers
Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected insta...
Deserialization of Untrusted Data in Hugging Face Transformers
Hugging Face Transformers MobileViTV2 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installati...
Deserialization of Untrusted Data in Hugging Face Transformers
Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installatio...
PYSEC-2024-229
Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installatio...
PYSEC-2024-228
Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected insta...
PYSEC-2024-227
Hugging Face Transformers MobileViTV2 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installati...
Flowise OverrideConfig security vulnerability
### Impact Flowise allows developers to inject configuration into the Chainflow during execution through the `overrideConfig` option. This is supported in both the frontend web integration and the bac...
langflow has vulnerability in PythonCodeTool component
langflow v1.0.12 was discovered to contain a remote code execution (RCE) vulnerability via the PythonCodeTool component.
LangChain pickle deserialization of untrusted data
A vulnerability in the `FAISS.deserialize_from_bytes` function of langchain-ai/langchain allows for pickle deserialization of untrusted data. This can lead to the execution of arbitrary commands via t...
PYSEC-2024-323
A vulnerability in the FAISS.deserialize_from_bytes function of langchain-ai/langchain allows for pickle deserialization of untrusted data. This can lead to the execution of arbitrary commands via the...
litellm vulnerable to remote code execution based on using eval unsafely
BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the `add_deployment` function, which decodes and decrypts envi...
Server-Side Request Forgery in langchain-community.retrievers.web_research.WebResearchRetriever
A Server-Side Request Forgery (SSRF) vulnerability exists in the Web Research Retriever component in langchain-community (langchain-community.retrievers.web_research.WebResearchRetriever). The vulnera...
Remote code execution in mlflow
A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the `mlflow.data.h...
PYSEC-2024-239
A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the `mlflow.data.h...
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s syst...
MLFlow improper input validation
Remote Code Execution can occur in versions of the MLflow platform running version 1.11.0 or newer, enabling a maliciously crafted MLproject to execute arbitrary code on an end user’s system when run...
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’...
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded Langchain AgentExecutor model to run arbitrary code on an...
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system...
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s sy...
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s syste...
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an...