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).
CVE-2025-68146 filelock: filelock: Time-of-Check-Time-of-Use (TOCTOU) race condition and symlink attack allows arbitrary file corruption or truncationCVE-2026-22701 filelock: filelock Time-of-Check-Time-of-Use (TOCTOU) in SoftFileLockCVE-2026-59890 setuptools: setuptools: MANIFEST.in exclusion bypass in sdist via Unicode normalization collision (NFC/NFD)CVE-2025-2999 A vulnerability was found in PyTorch 2.6.0. It has been rated as criti ...CVE-2025-3000 A vulnerability classified as critical has been found in PyTorch 2.6.0 ...CVE-2025-3001 A vulnerability classified as critical was found in PyTorch 2.6.0. Thi ...Your dependencies cross-checked against the OSV vulnerability database.
PYSEC-2026-1374 filelock Time-of-Check-Time-of-Use (TOCTOU) Symlink Vulnerability in SoftFileLockPYSEC-2026-1375 filelock has a TOCTOU race condition which allows symlink attacks during lock file creationPYSEC-2026-3447 setuptools is a package that allows users to download, build, install, upgrade, and uninstall Python packages. Prior to 83.0.0, FileList applied MANIFEST.in exclude, global-exclude, recursive-exclude,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-2025-206 pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().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-2026-2286 PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.GHSA-qfhq-4f3w-5fph PyTorch is vulnerable to memory corruption through its torch.lstm_cell functionGHSA-rrmf-rvhw-rf47 PyTorch is vulnerable to memory corruption through its torch.jit.script functionGHSA-vgrw-7cvw-pwgx PyTorch is vulnerable to memory corruption through its unpack_sequence functionCode 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.
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