CVE-2026-65820
2026-11-11
18h19 +00:00
18h19 +00:00
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CVE 描述
aeon is a scikit-learn compatible Python library for learning from time series. Prior to version 1.5.0, a GitHub Actions workflow used pull_request_target for pre-commit checks on pull requests from forks. In this configuration, fork-controlled code could be checked out and executed in a privileged context. The vulnerable workflow also generated/used elevated credentials and could automatically commit or push fixes back to pull request branches. This created a potential token exposure and repository write path if an attacker submitted a malicious fork pull request designed to execute during the privileged workflow run. This issue has been patched in version 1.5.0.
CVE 資訊
相關弱點
| 弱點名稱 | 來源 | |
|---|---|---|
| Improper Control of Generation of Code The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. |
