netsentryx

NetSentryx PRO 🛡️ AI-Driven, High-Performance Real-Time Network Observability & Threat Detection Engine NetSentryx PRO is a next-generation, event-driven network monitoring and threat intelligence platform. Combining rule-based signatures with a PyTorch Deep Autoencoder, it provides sub-10ms packe...

Agentic-CLIP-Benchmark

Agentic-CLIP-Benchmark: Zero-Shot Evaluation on CIFAR-10 -green.svg This project implements a robust, automated pipeline for evaluating OpenAI's CLIP ViT-B/32 model on the full CIFAR-10 test set 10,000 images. Developed using an AI Native workflow Trae IDE , it achieves a high-precision zero-shot...

Occ

Prohibited Items Segmentation via Occlusion-aware Bilayer Modeling ICME 2025 Official PyTorch Implementation of Prohibited Items Segmentation via Occlusion-aware Bilayer Modeling. Paper link: IEEE, Arxiv. Get Started Dependencies Code is successfully tested on Linux with Pytorch 2.1.2 and CUDA...

cleverhans

CleverHans latest release: v4.0.0 This repository contains the source code for CleverHans, a Python library to benchmark machine learning systems' vulnerability to adversarial examples. You can learn more about such vulnerabilities on the accompanying blog. The CleverHans library is under continu...

cve-2025-32434-poc

CVE-2025-32434 Description Technical Details The vulnerability entry point is load in torch/serialization.py when protection weightsonly is enabled: loading a tar file would call these functions in chain: 1. load: torch/serialization.py:1117 2. loadlegacy: torch/serialization.py:1376 to...

CVE-2025-50461

CVE-2025-50461: Remote Code Execution via Unsafe Model Deserialization in Verl Status: RESERVED This CVE ID has been assigned but is not yet published in the official CVE list. A deserialization vulnerability exists in Volcengine's verl 3.0.0, specifically in the scripts/modelmerger.py script whe...

alibi-detect

Alibi Detect is a source-available Python library focused on outlier , adversarial and drift detection. The package aims to cover both online and offline detectors for tabular data, text, images and time series. Both TensorFlow and PyTorch backends are supported for drift detection. Documentation...

CVE-2025-32434-exploit

Overview This exploit demonstrates a critical remote code execution vulnerability CVE-2025-32434 in PyTorch versions /tmp/whoami" Test the exploit loads the model to verify RCE python3 exploit.py -c "id" -t Advanced exploit variant with alternative bypass python3 exploit.py --advanced -c "curl -s...

CVE-2023-43654

CVE-2023-43654 ShellTorch is a chain of 3 Critical Vulnerabilities in PyTorch TorchServe - the default inference server of PyTorch. This is an End-to-End POC for an SSRF vulnerability which leads to Arbitrary Remote Code Execution from the network 1. Run TorchServe 0.8.1 docker run -d --rm -it -p...

CVE-2025-32434

CVE-2025-32434: PyTorch RCE Vulnerability - PoC What is CVE-2025-32434? CVE-2025-32434 is a critical Remote Code Execution RCE vulnerability in PyTorch, a widely used Python library for deep learning and neural networks. The Core Problem The vulnerability exists in the torch.load function, even...

saffron

Saffron-1: Inference Scaling for LLM Safety Assurance 📖 Paper 🛠️ Dependencies The code was tested under the following dependencies: Python 3.12.3 CUDA 12.2 typingextensions==4.14.0 numpy==2.2.6 torch==2.5.1 huggingfacehub==0.30.2 accelerate==1.1.1 datasets==3.1.0 evaluate==0.4.3...

CVE-2024-5452

CVE-2024-5452 01. Overview of RCE and pytorch-lightning 1 Overview of RCE and pytorch-lightning RCE Remote Code Execution is a vulnerability that allows an attacker to execute arbitrary code remotely within a system or application, and is classified as CWE-94: Improper Control of Generation of...

CLIPGuard

CLIPGuard Installation 1. Create Virtual Environment Recommended python -m venv clipguardenv source clipguardenv/bin/activate 2. Install PyTorch CUDA Example pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121 For CPU: pip install torch torchvision 3. Install...

EXPLOIT-CVE-2024-7804

CVE-2024-7804 — PyTorch Distributed RPC Unsafe Deserialization RCE Self-contained lab + exploit for CVE-2024-7804 : remote code execution in PyTorch's distributed RPC framework torch.distributed.rpc through unsafe deserialization of untrusted data CWE-502. Affected: torch Note: this advisory was...

EUVD-2026-113187

Crawl4AI from 0.9.0 before 0.9.5 fails to filter the CosineStrategy modelname field in untrusted Docker API request bodies, allowing authenticated clients to choose which HuggingFace model the server loads. Attackers can reference a malicious repository with a pickle weight file to execute Python...

CVE-2026-119120

Crawl4AI from 0.9.0 before 0.9.5 fails to filter the CosineStrategy modelname field in untrusted Docker API request bodies, allowing authenticated clients to choose which HuggingFace model the server loads. Attackers can reference a malicious repository with a pickle weight file to execute Python...

PT-2026-132351

Crawl4AI from 0.9.0 before 0.9.5 fails to filter the CosineStrategy model name field in untrusted Docker API request bodies, allowing authenticated clients to choose which HuggingFace model the server loads. Attackers can reference a malicious repository with a pickle weight file to execute Pytho...

Hiding Capabilities in AI Models

Interesting research: "AI Models Can Provably Hide Arbitrary Capabilities" Abstract: Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilities can be elicited. We show this assumption does not hold...

AZL-112163 CVE-2026-115921 affecting package pytorch 2.2.2-17

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. From 1.4.0 until 1.22.0, ScanInferenceFunction, ScanInferenceFunctionopset8, and ScanInferenceFunctionopset9 do not safely validate the required numscaninputs attribute. A missing attribute is dereference...

AZL-112169 CVE-2026-115920 affecting package pytorch 2.2.2-17

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. From 1.2.1 until 1.22.0, ConvTranspose shape inference processes a weight tensor with fewer than three dimensions without a kernelshape attribute by deriving an empty effectivekernelshape and indexing it...