Informational scan, not a security audit. How this is computed.
API keys, passwords or tokens committed into the repo.
Nothing found by this check. ✓
Packages you depend on that have known security holes (CVEs).
Nothing found by this check. ✓
Your dependencies cross-checked against the OSV vulnerability database.
PYSEC-2024-259 In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing.PYSEC-2025-41 PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command EPYSEC-2026-457 Arbitrary Code Execution in PillowPYSEC-2023-255 Command Injection in GitHub repository gradio-app/gradio prior to main.PYSEC-2024-215 Gradio is an open-source Python package designed for quick prototyping. This vulnerability relates to **Server-Side Request Forgery (SSRF)** in the `/queue/join` endpoint. Gradio’s `async_save_url_to_PYSEC-2024-219 Gradio is an open-source Python package designed for quick prototyping. This vulnerability involves **insecure communication** between the FRP (Fast Reverse Proxy) client and server when Gradio's `shaPYSEC-2024-274 Gradio v4.36.1 was discovered to contain a code injection vulnerability via the component /gradio/component_meta.py. This vulnerability is triggered via a crafted input. NOTE: the supplier disputes thPYSEC-2024-321 A command injection vulnerability exists in the gradio-app/gradio repository, specifically within the 'test-functional.yml' workflow. The vulnerability arises due to improper neutralization of specialPYSEC-2025-118 Gradio is an open-source Python package that allows quick building of demos and web application for machine learning models, API, or any arbitrary Python function. Gradio's Access Control List (ACL) fPYSEC-2026-345 Gradio allows users to access arbitrary filesPYSEC-2026-507 PyTorch Lightning path traversal vulnerabilityPYSEC-2026-2290 A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The PYSEC-2024-251 Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp.PYSEC-2024-252 PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DPYSEC-2025-191 A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of servicePYSEC-2025-198 In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.PYSEC-2025-203 An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation.PYSEC-2025-204 pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.PYSEC-2025-205 A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).PYSEC-2025-206 pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().PYSEC-2025-207 A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS).PYSEC-2025-208 A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a PYSEC-2025-209 An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.PYSEC-2026-139 A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be pePYSEC-2026-1970 PyTorch Improper Resource Shutdown or Release vulnerabilityCode that can be exploited: injection, hardcoded credentials and similar.
Nothing found by this check. ✓
Packages that look intentionally malicious: typosquats, sneaky install scripts.
Nothing found by this check. ✓
A signal about how the project is maintained — not a vulnerability in your code. It doesn’t affect the verdict above.
Maintenance & supply-chain hygiene. A signal about the project, not a vulnerability in your code.
scorecard-overall OpenSSF Scorecard overall: 5.2/10scorecard-CI-Tests CI-Tests scored 0: 0 out of 19 merged PRs checked by a CI test -- score normalized to 0scorecard-CII-Best-Practices CII-Best-Practices scored 0: no effort to earn an OpenSSF best practices badge detectedscorecard-Fuzzing Fuzzing scored 0: project is not fuzzedscorecard-Maintained Maintained scored 0: 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0scorecard-Pinned-Dependencies Pinned-Dependencies scored 0: dependency not pinned by hash detected -- score normalized to 0scorecard-SAST SAST scored 0: SAST tool is not run on all commits -- score normalized to 0scorecard-Security-Policy Security-Policy scored 0: security policy file not detected