FKIE_CVE-2026-57227
Vulnerability from fkie_nvd - Published: 2026-09-18 21:17 - Updated: 2026-09-29 12:48
Severity
Summary
Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. From 7.0.0 until 7.0.17 and 8.0.6, the MQTT parser in rust/src/mqtt/mqtt.rs permits repeated PUBREC or PUBREL messages to be appended to one transaction without a limit. Crafted MQTT traffic can grow transaction state indefinitely, consuming CPU and memory and causing slowdown or denial of service. This issue is fixed in versions 8.0.6 and 7.0.17.
References
{
"affected": [
{
"affectedData": [
{
"product": "suricata",
"vendor": "OISF",
"versions": [
{
"status": "affected",
"version": "\u003e= 8.0.0, \u003c 8.0.6"
},
{
"status": "affected",
"version": "\u003e= 7.0.0, \u003c 7.0.17"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:oisf:suricata:*:*:*:*:*:*:*:*",
"matchCriteriaId": "45B863ED-5693-48B7-9909-E6970DD09816",
"versionEndExcluding": "7.0.17",
"versionStartIncluding": "7.0.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:oisf:suricata:*:*:*:*:*:*:*:*",
"matchCriteriaId": "BAC11753-611D-4E10-9F9B-1C21DD2371C4",
"versionEndExcluding": "8.0.6",
"versionStartIncluding": "8.0.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. From 7.0.0 until 7.0.17 and 8.0.6, the MQTT parser in rust/src/mqtt/mqtt.rs permits repeated PUBREC or PUBREL messages to be appended to one transaction without a limit. Crafted MQTT traffic can grow transaction state indefinitely, consuming CPU and memory and causing slowdown or denial of service. This issue is fixed in versions 8.0.6 and 7.0.17."
}
],
"id": "CVE-2026-57227",
"lastModified": "2026-09-29T12:48:01.487",
"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": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-57227",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-22T15:47:25.096325Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-18T21:17:01.217",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/OISF/suricata/commit/03ba8a71d827dd36a0ceb512f45d2f440f260a3a"
},
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/OISF/suricata/commit/5cde93dea38533c9b225128ba9d54955997dc273"
},
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/OISF/suricata/commit/c03666d261256df5a2d1f5800872da8a5addf6a5"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/OISF/suricata/releases/tag/suricata-7.0.17"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/OISF/suricata/releases/tag/suricata-8.0.6"
},
{
"source": "security-advisories@github.com",
"tags": [
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/OISF/suricata/security/advisories/GHSA-7h2h-hpj2-9w6p"
},
{
"source": "security-advisories@github.com",
"tags": [
"Permissions Required"
],
"url": "https://redmine.openinfosecfoundation.org/issues/8525"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-400"
},
{
"lang": "en",
"value": "CWE-770"
}
],
"source": "security-advisories@github.com",
"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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