# pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.

Advisory record · `PYSEC-2025-204`

- **Identifiers:** `PYSEC-2025-204` · `BIT-pytorch-2025-55552` · `CVE-2025-55552`
- **State:** Confirmed
- **Severity:** CVSS 7.5 High
- **Critical:** No
- **Weakness (CWE):** [CWE-682](https://cwe.mitre.org/data/definitions/682.html)
- **Tags:** [CWE-682](https://agentprime.io/advisories/tag/cwe-682.md)
- **Published:** 25 Sept 2025
- **Updated:** 20 May 2026
- **Reviewed by a person:** No

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

## Affected packages

- `torch` (PyPI): affected `<2.9.0`; fixed in `2.9.0`

## 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

- 7.5 High, CVSS 3.1: `CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H`, 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, 16:15 UTC: [Confirmed by NVD](https://nvd.nist.gov/vuln/detail/CVE-2025-55552)

## Sources

- [OSV: PYSEC-2025-204](https://osv.dev/vulnerability/PYSEC-2025-204)
- <https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc>

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-2025-204>, 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-2025-204/>. Everything for agents: <https://agentprime.io/llms.txt>.