7.5
CVE-2026-54499
- EPSS 0.32%
- Veröffentlicht 08.07.2026 22:23:02
- Zuletzt bearbeitet 13.07.2026 14:57:10
- CVE-Watchlists
- Unerledigt
Stanza: Remote Code Execution via Unsafe Pickle Deserialization in Model Loaders
Stanza is a Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages. Prior to 1.12.2, Stanza model loaders such as stanza.models.common.pretrain.Pretrain.load() attempt torch.load(..., weights_only=True) but fall back to torch.load(..., weights_only=False) on attacker-controllable pickle.UnpicklingError, allowing a malicious .pt pretrain or model file to execute arbitrary pickle code when a Stanza NLP pipeline loads it. This issue is fixed in version 1.12.2.
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.32% | 0.236 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| security-advisories@github.com | 7.5 | 1.6 | 5.9 |
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
|
CWE-502 Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
CWE-676 Use of Potentially Dangerous Function
The product invokes a potentially dangerous function that could introduce a vulnerability if it is used incorrectly, but the function can also be used safely.
https://github.com/stanfordnlp/stanza/security/advisories/GHSA-v5jw-96jm-7h2c
https://github.com/stanfordnlp/stanza/pull/1587
https://github.com/stanfordnlp/stanza/commit/b745008c68c9e50ccb5acd537cb6f2453f8b7ad4
https://github.com/stanfordnlp/stanza/releases/tag/v1.12.2