FKIE_CVE-2022-27631
Vulnerability from fkie_nvd - Published: 2022-08-05 22:15 - Updated: 2026-06-17 04:37
Severity
Summary
A memory corruption vulnerability exists in the httpd unescape functionality of DD-WRT Revision 32270 - Revision 48599. A specially-crafted HTTP request can lead to memory corruption. An attacker can send a network request to trigger this vulnerability.
References
| URL | Tags | ||
|---|---|---|---|
| talos-cna@cisco.com | https://talosintelligence.com/vulnerability_reports/TALOS-2022-1510 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://talosintelligence.com/vulnerability_reports/TALOS-2022-1510 | Exploit, Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "DD-WRT",
"vendor": "DD-WRT",
"versions": [
{
"status": "affected",
"version": "Revision 32270 - Revision 48599"
}
]
}
],
"source": "talos-cna@cisco.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:dd-wrt:dd-wrt:*:*:*:*:*:*:*:*",
"matchCriteriaId": "50A66BA5-0646-4644-8E49-8C10C29A4735",
"versionEndIncluding": "48599",
"versionStartIncluding": "32270",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A memory corruption vulnerability exists in the httpd unescape functionality of DD-WRT Revision 32270 - Revision 48599. A specially-crafted HTTP request can lead to memory corruption. An attacker can send a network request to trigger this vulnerability."
},
{
"lang": "es",
"value": "Se presenta una vulnerabilidad de corrupci\u00f3n de memoria en la funcionalidad httpd unescape de DD-WRT Revisi\u00f3n 32270 - Revisi\u00f3n 48599. Una petici\u00f3n HTTP especialmente dise\u00f1ada puede conllevar a una corrupci\u00f3n de memoria. Un atacante puede enviar una petici\u00f3n de red para desencadenar esta vulnerabilidad"
}
],
"id": "CVE-2022-27631",
"lastModified": "2026-06-17T04:37:23.010",
"metrics": {
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "talos-cna@cisco.com",
"type": "Secondary"
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2022-27631",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-15T18:18:42.739291Z",
"version": "2.0.3"
}
}
]
},
"published": "2022-08-05T22:15:11.373",
"references": [
{
"source": "talos-cna@cisco.com",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://talosintelligence.com/vulnerability_reports/TALOS-2022-1510"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://talosintelligence.com/vulnerability_reports/TALOS-2022-1510"
}
],
"sourceIdentifier": "talos-cna@cisco.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "talos-cna@cisco.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "nvd@nist.gov",
"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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