FKIE_CVE-2022-39232
Vulnerability from fkie_nvd - Published: 2022-09-29 21:15 - Updated: 2026-06-17 04:57
Severity
6.5 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
4.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
4.3 (Medium) - CVSS:3.1/
Summary
Discourse is an open source discussion platform. Starting with version 2.9.0.beta5 and prior to version 2.9.0.beta10, an incomplete quote can generate a JavaScript error which will crash the current page in the browser in some cases. Version 2.9.0.beta10 added a fix and tests to ensure incomplete quotes won't break the app. As a workaround, the quote can be fixed via the rails console.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/discourse/discourse/commit/eab33af5bf19827527fe79134d865b5c727f6530 | Patch, Third Party Advisory | |
| security-advisories@github.com | https://github.com/discourse/discourse/pull/18311 | Patch, Third Party Advisory | |
| security-advisories@github.com | https://github.com/discourse/discourse/security/advisories/GHSA-cv64-v73f-7wq5 | Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/discourse/discourse/commit/eab33af5bf19827527fe79134d865b5c727f6530 | Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/discourse/discourse/pull/18311 | Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/discourse/discourse/security/advisories/GHSA-cv64-v73f-7wq5 | Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "discourse",
"vendor": "discourse",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.9.0.beta5, \u003c 2.9.0.beta10"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:discourse:discourse:2.9.0:beta5:*:*:*:*:*:*",
"matchCriteriaId": "0086484D-0164-449C-8AAE-BE7479CB9706",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:discourse:discourse:2.9.0:beta6:*:*:*:*:*:*",
"matchCriteriaId": "F9D1B031-96C7-44C0-A0A0-F67ABE55C93C",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:discourse:discourse:2.9.0:beta7:*:*:*:*:*:*",
"matchCriteriaId": "750D2AD9-35E7-4AC7-9C22-AA90DAA34F3F",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:discourse:discourse:2.9.0:beta8:*:*:*:*:*:*",
"matchCriteriaId": "B68E308A-BDAB-4614-A563-4460F7996CBE",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:discourse:discourse:2.9.0:beta9:*:*:*:*:*:*",
"matchCriteriaId": "5DEDE4C5-2C2A-4B74-BB41-8AAA0EE636E2",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Discourse is an open source discussion platform. Starting with version 2.9.0.beta5 and prior to version 2.9.0.beta10, an incomplete quote can generate a JavaScript error which will crash the current page in the browser in some cases. Version 2.9.0.beta10 added a fix and tests to ensure incomplete quotes won\u0027t break the app. As a workaround, the quote can be fixed via the rails console."
},
{
"lang": "es",
"value": "Discourse es una plataforma de debate de c\u00f3digo abierto. A partir de la versi\u00f3n 2.9.0.beta5 y anteriores a 2.9.0.beta10, una cita incompleta puede generar un error de JavaScript que bloquear\u00e1 la p\u00e1gina actual en el navegador en algunos casos. La versi\u00f3n 2.9.0.beta10 ha a\u00f1adido una correcci\u00f3n y pruebas para garantizar que las cotizaciones incompletas no rompan la aplicaci\u00f3n. Como mitigaci\u00f3n, la cotizaci\u00f3n puede arreglarse por medio de la consola de rails"
}
],
"id": "CVE-2022-39232",
"lastModified": "2026-06-17T04:57:57.873",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2022-39232",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-23T13:56:57.380897Z",
"version": "2.0.3"
}
}
]
},
"published": "2022-09-29T21:15:11.210",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/discourse/discourse/commit/eab33af5bf19827527fe79134d865b5c727f6530"
},
{
"source": "security-advisories@github.com",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/discourse/discourse/pull/18311"
},
{
"source": "security-advisories@github.com",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/discourse/discourse/security/advisories/GHSA-cv64-v73f-7wq5"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/discourse/discourse/commit/eab33af5bf19827527fe79134d865b5c727f6530"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/discourse/discourse/pull/18311"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/discourse/discourse/security/advisories/GHSA-cv64-v73f-7wq5"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-Other"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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.
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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.