brew-openclaw-cli-cve-2026-27008
Vulnerability from osv_homebrew
Published
2026-08-13 17:21
Modified
2026-09-12 09:47
Summary
OpenClaw hardened the skill download target directory validation
Details
Affected Packages / Versions
- Package:
openclaw(npm) - Affected versions:
<= 2026.2.14 - Fixed in: planned release
2026.2.15
Impact
A bug in download skill installation allowed targetDir values from skill frontmatter to resolve outside the per-skill tools directory if not strictly validated.
In the admin-only skills.install flow, this could write files outside the intended install sandbox.
Fix Commit(s)
- 2363e1b08 fix(security): restrict skill download target paths
- b6305e972 test(skills): split installer security coverage
Acknowledgement
Thanks @Adam55A-code for reporting.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"upstream_fixed_in": "2026.2.15"
},
"package": {
"ecosystem": "Homebrew",
"name": "openclaw-cli",
"purl": "pkg:brew/openclaw-cli"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2026.7.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "npm",
"key": "pkg:npm/openclaw@2026.9.4",
"name": "openclaw",
"strategy": "registry",
"subject_version": "2026.9.4"
}
]
},
"details": "## Affected Packages / Versions\n- Package: `openclaw` (npm)\n- Affected versions: `\u003c= 2026.2.14`\n- Fixed in: planned release `2026.2.15`\n\n## Impact\nA bug in `download` skill installation allowed `targetDir` values from skill frontmatter to resolve outside the per-skill tools directory if not strictly validated.\nIn the admin-only `skills.install` flow, this could write files outside the intended install sandbox.\n\n## Fix Commit(s)\n- 2363e1b08 fix(security): restrict skill download target paths\n- b6305e972 test(skills): split installer security coverage\n\n## Acknowledgement\nThanks @Adam55A-code for reporting.",
"id": "BREW-openclaw-cli-CVE-2026-27008",
"modified": "2026-09-12T09:47:35Z",
"published": "2026-08-13T17:21:32Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/openclaw/openclaw/security/advisories/GHSA-h7f7-89mm-pqh6"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-27008"
},
{
"type": "WEB",
"url": "https://github.com/openclaw/openclaw/commit/2363e1b0853a028e47f90dcc1066e3e9809d65f1"
},
{
"type": "WEB",
"url": "https://github.com/openclaw/openclaw/commit/b6305e97256d67e439719faacf5af3de9727d6e1"
},
{
"type": "PACKAGE",
"url": "https://github.com/openclaw/openclaw"
},
{
"type": "WEB",
"url": "https://github.com/openclaw/openclaw/releases/tag/v2026.2.15"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:H/UI:N/VC:L/VI:H/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "OpenClaw hardened the skill download target directory validation",
"upstream": [
"GHSA-h7f7-89mm-pqh6",
"CVE-2026-27008"
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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