FKIE_CVE-2026-32244
Vulnerability from fkie_nvd - Published: 2026-05-19 00:16 - Updated: 2026-07-24 13:10
Severity
Summary
Discourse is an open-source discussion platform. In versions prior to 2026.1.4, 2026.3.1, 2026.4.1 and 2026.5.0-latest.1, outdated cached AI summaries can leak removed content to anonymous and unprivileged users who cannot regenerate summaries. This issue has been fixed in versions 2026.1.4, 2026.3.1, 2026.4.1 and 2026.5.0-latest.1. To work around this issue, restrict summary generation by tightening the allowed groups on the summarization Personas.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/discourse/discourse/security/advisories/GHSA-hjmg-2mww-vfvx | Mitigation, Vendor Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "discourse",
"vendor": "discourse",
"versions": [
{
"status": "affected",
"version": "\u003c 2026.1.4"
},
{
"status": "affected",
"version": "\u003e= 2026.3.0-latest, \u003c 2026.3.1"
},
{
"status": "affected",
"version": "\u003e= 2026.4.0-latest, \u003c 2026.4.1"
},
{
"status": "affected",
"version": "\u003e= 2026.5.0-latest, \u003c 2026.5.0-latest.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:discourse:discourse:*:*:*:*:latest:*:*:*",
"matchCriteriaId": "8859700A-C256-49F8-A921-933CF3A66517",
"versionEndExcluding": "2026.1.4",
"versionStartIncluding": "2026.1.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:discourse:discourse:*:*:*:*:latest:*:*:*",
"matchCriteriaId": "CA619035-F6AF-4501-B331-AE685DE74BCA",
"versionEndExcluding": "2026.3.1",
"versionStartIncluding": "2026.3.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:discourse:discourse:*:*:*:*:latest:*:*:*",
"matchCriteriaId": "09919919-C8A3-4AA6-AF85-45BD0FCA93F6",
"versionEndExcluding": "2026.4.1",
"versionStartIncluding": "2026.4.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:discourse:discourse:2026.5.0:*:*:*:latest:*:*:*",
"matchCriteriaId": "8AD4BB38-1D03-4ECD-BFAB-900D57689A31",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Discourse is an open-source discussion platform. In versions prior to 2026.1.4, 2026.3.1, 2026.4.1 and 2026.5.0-latest.1, outdated cached AI summaries can leak removed content to anonymous and unprivileged users who cannot regenerate summaries. This issue has been fixed in versions 2026.1.4, 2026.3.1, 2026.4.1 and 2026.5.0-latest.1. To work around this issue, restrict summary generation by tightening the allowed groups on the summarization Personas."
},
{
"lang": "es",
"value": "Discourse es una plataforma de discusi\u00f3n de c\u00f3digo abierto. En versiones anteriores a 2026.1.4, 2026.3.1, 2026.4.1 y 2026.5.0-latest.1, los res\u00famenes de IA en cach\u00e9 obsoletos pueden filtrar contenido eliminado a usuarios an\u00f3nimos y no privilegiados que no pueden regenerar res\u00famenes. Este problema ha sido solucionado en las versiones 2026.1.4, 2026.3.1, 2026.4.1 y 2026.5.0-latest.1. Para solucionar este problema, restrinja la generaci\u00f3n de res\u00famenes ajustando los grupos permitidos en las Personas de resumen."
}
],
"id": "CVE-2026-32244",
"lastModified": "2026-07-24T13:10:00.223",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-32244",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-19T16:26:52.939810Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-05-19T00:16:37.100",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/discourse/discourse/security/advisories/GHSA-hjmg-2mww-vfvx"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-200"
},
{
"lang": "en",
"value": "CWE-524"
},
{
"lang": "en",
"value": "CWE-672"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.