BREW-SIGSTORE-CVE-2026-24408 (CVE-2026-24408)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:34 – Updated: 2026-09-10 01:12 – Source website
VLAI
Summary
sigstore has CSRF possibility in OIDC authentication during signing
Details
sigstore-python is a Python tool for generating and verifying Sigstore signatures. Prior to version 4.2.0, the sigstore-python OAuth authentication flow is susceptible to Cross-Site Request Forgery. _OAuthSession creates a unique "state" and sends it as a parameter in the authentication request but the "state" in the server response seems not not be cross-checked with this value. Version 4.2.0 contains a patch for the issue.
Severity
0.0 (None)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"upstream_fixed_in": "4.2.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "sigstore",
"purl": "pkg:brew/sigstore"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "4.5.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "git",
"upstream_evidence": [
{
"ecosystem": "GIT",
"key": "https://github.com/sigstore/sigstore-python",
"name": "https://github.com/sigstore/sigstore-python",
"strategy": "git",
"subject_version": "4.5.0"
},
{
"ecosystem": "PyPI",
"key": "pkg:pypi/sigstore@4.5.0",
"name": "sigstore",
"strategy": "registry",
"subject_version": "4.5.0"
}
]
},
"details": "sigstore-python is a Python tool for generating and verifying Sigstore signatures. Prior to version 4.2.0, the sigstore-python OAuth authentication flow is susceptible to Cross-Site Request Forgery. `_OAuthSession` creates a unique \"state\" and sends it as a parameter in the authentication request but the \"state\" in the server response seems not not be cross-checked with this value. Version 4.2.0 contains a patch for the issue.",
"id": "BREW-sigstore-CVE-2026-24408",
"modified": "2026-09-10T01:12:53Z",
"published": "2026-08-13T17:34:39Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/sigstore/sigstore-python/releases/tag/v4.2.0"
},
{
"type": "ADVISORY",
"url": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/24xxx/CVE-2026-24408.json"
},
{
"type": "ADVISORY",
"url": "https://github.com/sigstore/sigstore-python/security/advisories/GHSA-hm8f-75xx-w2vr"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24408"
},
{
"type": "FIX",
"url": "https://github.com/sigstore/sigstore-python/commit/5e77497fe8f0b202bdd118949074ec2f20da69aa"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "sigstore has CSRF possibility in OIDC authentication during signing",
"upstream": [
"CVE-2026-24408",
"GHSA-hm8f-75xx-w2vr",
"PYSEC-2026-1924"
]
}
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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.
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- 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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