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.
{
"cna_assigner": "GitHub_M",
"cwe_ids": [
"CWE-94"
],
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/65xxx/CVE-2026-65820.json"
}{
"extracted_events": [
{
"range": [
{
"introduced": "0"
},
{
"fixed": "1.5.0"
}
],
"source": "AFFECTED_FIELD",
"strategy": "StringRangeExpression"
},
{
"range": [
{
"fixed": "99261e1355c89a316bf0824bb03f855c6aadae8f"
}
],
"source": "REFERENCES_COMMIT"
}
]
}