FKIE_CVE-2026-57171
Vulnerability from fkie_nvd - Published: 2026-08-26 05:18 - Updated: 2026-08-27 17:18
Severity
Summary
Compliance-trestle (Trestle) is a Python SDK and command-line tool for managing OSCAL compliance documents. In versions before 3.12.4 and versions 4.0.0 through 4.0.3, the catalog-generate, profile-generate, and ssp-generate author commands write generated Markdown to an attacker-influenced output path without path-traversal validation, allowing arbitrary file write outside the Trestle workspace. These commands join the user-supplied output argument onto the Trestle root and write to the result, but guard it only with an is_directory_name_allowed() task-name-collision check rather than the PathSecurityValidator.validate_local_path() guard used by the jinja command, so an absolute path or one containing traversal sequences escapes the workspace and writes files under an attacker-chosen location as the invoking process owner. The security boundary is crossed when a trusted CI job, shared service, or wrapper derives the output argument from repository-controlled, tenant-controlled, or otherwise untrusted data while expecting output to stay inside the workspace. When --force-overwrite is used, the selected output directory is first recursively deleted, extending the primitive to destruction of an attacker-chosen directory tree and enabling indirect code execution by overwriting files a pipeline later runs. This issue is fixed in versions 3.12.4 and 4.1.0.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "compliance-trestle",
"vendor": "oscal-compass",
"versions": [
{
"status": "affected",
"version": "\u003c 3.12.4"
},
{
"status": "affected",
"version": "\u003e= 4.0.0, \u003c 4.1.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Compliance-trestle (Trestle) is a Python SDK and command-line tool for managing OSCAL compliance documents. In versions before 3.12.4 and versions 4.0.0 through 4.0.3, the catalog-generate, profile-generate, and ssp-generate author commands write generated Markdown to an attacker-influenced output path without path-traversal validation, allowing arbitrary file write outside the Trestle workspace. These commands join the user-supplied output argument onto the Trestle root and write to the result, but guard it only with an is_directory_name_allowed() task-name-collision check rather than the PathSecurityValidator.validate_local_path() guard used by the jinja command, so an absolute path or one containing traversal sequences escapes the workspace and writes files under an attacker-chosen location as the invoking process owner. The security boundary is crossed when a trusted CI job, shared service, or wrapper derives the output argument from repository-controlled, tenant-controlled, or otherwise untrusted data while expecting output to stay inside the workspace. When --force-overwrite is used, the selected output directory is first recursively deleted, extending the primitive to destruction of an attacker-chosen directory tree and enabling indirect code execution by overwriting files a pipeline later runs. This issue is fixed in versions 3.12.4 and 4.1.0."
}
],
"id": "CVE-2026-57171",
"lastModified": "2026-08-27T17:18:52.510",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.7,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.5,
"impactScore": 5.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-57171",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-27T13:53:00.681404Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-26T05:18:11.923",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/oscal-compass/compliance-trestle/commit/37ed44f5f2e074202c8eb7c2f203c05d19461cdc"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/oscal-compass/compliance-trestle/releases/tag/v4.1.0"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/oscal-compass/compliance-trestle/security/advisories/GHSA-4q5v-7g7x-j79w"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/oscal-compass/compliance-trestle/security/advisories/GHSA-r4vp-3vw6-r2x5"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-22"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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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.
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.
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