GHSA-FQ9H-C788-FX73
Vulnerability from github – Published: 2026-06-22 20:11 – Updated: 2026-06-22 20:11
VLAI
Summary
OpenAM has pre-auth Reflected XSS in OAuth2 / OIDC response_mode=form_post via state parameter (FormPostResponse.ftl)
Details
Summary
The OAuth 2.0 / OpenID Connect authorization endpoint does not sufficiently sanitize certain user-supplied parameters before incorporating them into the HTML response generated for the form_post response mode. This may allow an attacker to inject content into the rendered page in the context of the OpenAM origin.
Severity
9.3 (Critical)
{
"affected": [
{
"package": {
"ecosystem": "Maven",
"name": "org.openidentityplatform.openam:openam-oauth2"
},
"ranges": [
{
"events": [
{
"introduced": "13.0.0"
},
{
"fixed": "16.1.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-44203"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": true,
"github_reviewed_at": "2026-06-22T20:11:49Z",
"nvd_published_at": null,
"severity": "CRITICAL"
},
"details": "### Summary\n\nThe OAuth 2.0 / OpenID Connect authorization endpoint does not sufficiently sanitize certain user-supplied parameters before incorporating them into the HTML response generated for the `form_post` response mode. This may allow an attacker to inject content into the rendered page in the context of the OpenAM origin.",
"id": "GHSA-fq9h-c788-fx73",
"modified": "2026-06-22T20:11:49Z",
"published": "2026-06-22T20:11:49Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/OpenIdentityPlatform/OpenAM/security/advisories/GHSA-fq9h-c788-fx73"
},
{
"type": "PACKAGE",
"url": "https://github.com/OpenIdentityPlatform/OpenAM"
},
{
"type": "WEB",
"url": "https://github.com/OpenIdentityPlatform/OpenAM/releases/tag/16.1.1"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N",
"type": "CVSS_V3"
}
],
"summary": "OpenAM has pre-auth Reflected XSS in OAuth2 / OIDC response_mode=form_post via state parameter (FormPostResponse.ftl)"
}
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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
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- 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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