FKIE_CVE-2022-25885
Vulnerability from fkie_nvd - Published: 2022-11-01 05:15 - Updated: 2026-06-17 04:34
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/
Summary
The package muhammara before 2.6.0; all versions of package hummus are vulnerable to Denial of Service (DoS) when PDFStreamForResponse() is used with invalid data.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| muhammara_project | muhammara | * |
{
"affected": [
{
"affectedData": [
{
"product": "muhammara",
"vendor": "n/a",
"versions": [
{
"lessThan": "2.6.0",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
},
{
"product": "hummus",
"vendor": "n/a",
"versions": [
{
"lessThan": "unspecified",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "report@snyk.io"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:muhammara_project:muhammara:*:*:*:*:*:node.js:*:*",
"matchCriteriaId": "7E8836C1-85F5-4C9B-B050-A9B7E569CCBB",
"versionEndExcluding": "2.6.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The package muhammara before 2.6.0; all versions of package hummus are vulnerable to Denial of Service (DoS) when PDFStreamForResponse() is used with invalid data."
},
{
"lang": "es",
"value": "El paquete muhammara antes de 2.6.0; Todas las versiones del paquete hummus son vulnerables a la Denegaci\u00f3n de Servicio (DoS) cuando se utiliza PDFStreamForResponse() con datos no v\u00e1lidos."
}
],
"id": "CVE-2022-25885",
"lastModified": "2026-06-17T04:34:26.483",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "report@snyk.io",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2022-25885",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-05-05T14:08:22.288171Z",
"version": "2.0.3"
}
}
]
},
"published": "2022-11-01T05:15:09.810",
"references": [
{
"source": "report@snyk.io",
"tags": [
"Exploit",
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://github.com/galkahana/HummusJS/issues/439"
},
{
"source": "report@snyk.io",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/julianhille/MuhammaraJS/commit/0a6427eec82ef2978995e453de2dc0d6224dd46c"
},
{
"source": "report@snyk.io",
"tags": [
"Exploit",
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://github.com/julianhille/MuhammaraJS/issues/188"
},
{
"source": "report@snyk.io",
"tags": [
"Third Party Advisory"
],
"url": "https://security.snyk.io/vuln/SNYK-JS-HUMMUS-3091139"
},
{
"source": "report@snyk.io",
"tags": [
"Third Party Advisory"
],
"url": "https://security.snyk.io/vuln/SNYK-JS-MUHAMMARA-3091137"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://github.com/galkahana/HummusJS/issues/439"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/julianhille/MuhammaraJS/commit/0a6427eec82ef2978995e453de2dc0d6224dd46c"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://github.com/julianhille/MuhammaraJS/issues/188"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://security.snyk.io/vuln/SNYK-JS-HUMMUS-3091139"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://security.snyk.io/vuln/SNYK-JS-MUHAMMARA-3091137"
}
],
"sourceIdentifier": "report@snyk.io",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
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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.
- 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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