# PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout...

Advisory record · `PYSEC-2025-202`

- **Identifiers:** `PYSEC-2025-202` · `BIT-pytorch-2025-46153` · `CVE-2025-46153`
- **State:** Confirmed
- **Severity:** CVSS 5.3 Medium
- **Critical:** No
- **Weakness (CWE):** [CWE-1176](https://cwe.mitre.org/data/definitions/1176.html)
- **Tags:** [CWE-1176](https://agentprime.io/advisories/tag/cwe-1176.md)
- **Published:** 25 Sept 2025
- **Updated:** 20 May 2026
- **Reviewed by a person:** No

Published by OSV at 25 Sept 2025, 15:16 UTC. agentprime has not analysed this yet, so whether it affects any app is not known.

## Affected packages

- `torch` (PyPI): affected `>=2.6.0, <2.7.0`; fixed in `2.7.0`

## Not analysed yet

We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.

## Severity and exploitation

- 5.3 Medium, CVSS 3.1: `CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N`, from OSV

- **CISA KEV:** Not listed.
- **EPSS:** 0.0042, the 36th percentile, on 5 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.

## Timeline

- 25 Sept 2025, 15:16 UTC: [Confirmed by NVD](https://nvd.nist.gov/vuln/detail/CVE-2025-46153)

## Sources

- [OSV: PYSEC-2025-202](https://osv.dev/vulnerability/PYSEC-2025-202)
- <https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0>
- <https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a>
- <https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a>
- <https://github.com/pytorch/pytorch/pull/143460>

Facts on this page come from the GitHub Advisory Database (CC-BY 4.0), OSV and the other sources listed, as published. We don’t reproduce full advisory descriptions, which can contain exploit code.

## Check whether this affects you

A Match means an installed version is in the affected range above. Most don’t affect the app; agentprime hasn’t analysed this one yet.

- With the agentprime MCP server (<https://api.agentprime.io/mcp>), ask your agent to check the project: `check_lockfile` sends a lockfile, `check_packages` a list of installed packages, and both return the Matches and the upgrades that clear them. `get_advisory` returns this record. Setup: <https://agentprime.io/mcp.md>
- In a browser: <https://agentprime.io/check/> reads your lockfile in the browser, never uploading it.
- Whether it touches your code, with file and line: the Claude Code plugin, <https://agentprime.io/plugin.md>
- As JSON: <https://api.agentprime.io/v1/advisories/PYSEC-2025-202>, or `POST https://api.agentprime.io/v1/match` with your packages (<https://agentprime.io/api.md>)

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The web page: <https://agentprime.io/advisories/PYSEC-2025-202/>. Everything for agents: <https://agentprime.io/llms.txt>.