BREW-PAYARA-CVE-2022-45129 (GHSA-Q35W-85PQ-RV3X)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:25 – Updated: 2026-09-20 10:58 – Source website
VLAI
Summary
Payara, when deployed to the root context, allows attackers to visit META-INF and WEB-INF
Details
Payara before 2022-11-04, when deployed to the root context, allows attackers to visit META-INF and WEB-INF, a different vulnerability than CVE-2022-37422. This affects Payara Platform Community before 4.1.2.191.38, 5.x before 5.2022.4, and 6.x before 6.2022.1, and Payara Platform Enterprise before 5.45.0.
Severity
7.5 (High)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"upstream_fixed_in": "6.2022.2"
},
"package": {
"ecosystem": "Homebrew",
"name": "payara",
"purl": "pkg:brew/payara"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "7.2026.7"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "Maven",
"key": "pkg:maven/fish.payara.distributions/payara@7.2026.9",
"name": "fish.payara.distributions:payara",
"strategy": "registry",
"subject_version": "7.2026.9"
}
]
},
"details": "Payara before 2022-11-04, when deployed to the root context, allows attackers to visit META-INF and WEB-INF, a different vulnerability than CVE-2022-37422. This affects Payara Platform Community before 4.1.2.191.38, 5.x before 5.2022.4, and 6.x before 6.2022.1, and Payara Platform Enterprise before 5.45.0.",
"id": "BREW-payara-CVE-2022-45129",
"modified": "2026-09-20T10:58:51Z",
"published": "2026-08-13T17:25:34Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-45129"
},
{
"type": "WEB",
"url": "https://github.com/payara/Payara/issues/6136"
},
{
"type": "WEB",
"url": "https://github.com/payara/Payara/commit/cccdfddeda71c78ae7b3179db5429e1bb8a56b2e"
},
{
"type": "WEB",
"url": "https://blog.payara.fish/whats-new-in-the-november-2022-payara-platform-release"
},
{
"type": "WEB",
"url": "https://docs.payara.fish/community/docs/6.2022.1/Release%20Notes/Release%20Notes%206.2022.1.html"
},
{
"type": "WEB",
"url": "https://docs.payara.fish/community/docs/Release%20Notes/Release%20Notes%205.2022.4.html"
},
{
"type": "WEB",
"url": "https://docs.payara.fish/enterprise/docs/Release%20Notes/Release%20Notes%205.45.0.html"
},
{
"type": "PACKAGE",
"url": "https://github.com/payara/Payara"
},
{
"type": "WEB",
"url": "https://github.com/payara/Payara/issues?q=FISH-6775"
},
{
"type": "WEB",
"url": "http://packetstormsecurity.com/files/169864/Payara-Platform-Path-Traversal.html"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2022/Nov/11"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "Payara, when deployed to the root context, allows attackers to visit META-INF and WEB-INF",
"upstream": [
"GHSA-q35w-85pq-rv3x",
"CVE-2022-45129"
]
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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