CVE-2024-32664 (GCVE-0-2024-32664)
Vulnerability from cvelistv5 – Published: 2024-05-07 14:57 – Updated: 2024-08-02 02:13
VLAI
EPSS
VEX
Title
Suricata's base64 contains an out of bounds write
Summary
Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. Prior to 7.0.5 and 6.0.19, specially crafted traffic or datasets can cause a limited buffer overflow. This vulnerability is fixed in 7.0.5 and 6.0.19. Workarounds include not use rules with `base64_decode` keyword with `bytes` option with value 1, 2 or 5 and for 7.0.x, setting `app-layer.protocols.smtp.mime.body-md5` to false.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-05-07 18:13 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/OISF/suricata/security/advisor… | x_refsource_CONFIRM |
| https://github.com/OISF/suricata/commit/311002baf… | x_refsource_MISC |
| https://github.com/OISF/suricata/commit/d5ffecf11… | x_refsource_MISC |
Impacted products
3 products
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"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2024-05-07T18:15:28.208Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "suricata",
"vendor": "OISF",
"versions": [
{
"status": "affected",
"version": "\u003e= 6.0.0, \u003c= 6.0.18"
},
{
"status": "affected",
"version": "\u003e= 7.0.0, \u003c= 7.0.4"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. Prior to 7.0.5 and 6.0.19, specially crafted traffic or datasets can cause a limited buffer overflow. This vulnerability is fixed in 7.0.5 and 6.0.19. Workarounds include not use rules with `base64_decode` keyword with `bytes` option with value 1, 2 or 5 and for 7.0.x, setting `app-layer.protocols.smtp.mime.body-md5` to false."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"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:L",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-122",
"description": "CWE-122: Heap-based Buffer Overflow",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-120",
"description": "CWE-120: Buffer Copy without Checking Size of Input (\u0027Classic Buffer Overflow\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-05-07T14:57:01.967Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/OISF/suricata/security/advisories/GHSA-79vh-hpwq-3jh7",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/OISF/suricata/security/advisories/GHSA-79vh-hpwq-3jh7"
},
{
"name": "https://github.com/OISF/suricata/commit/311002baf288a225f62cf18a90c5fdd294447379",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/OISF/suricata/commit/311002baf288a225f62cf18a90c5fdd294447379"
},
{
"name": "https://github.com/OISF/suricata/commit/d5ffecf11ad2c6fe89265e518f5d7443caf26ba4",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/OISF/suricata/commit/d5ffecf11ad2c6fe89265e518f5d7443caf26ba4"
}
],
"source": {
"advisory": "GHSA-79vh-hpwq-3jh7",
"discovery": "UNKNOWN"
},
"title": "Suricata\u0027s base64 contains an out of bounds write"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2024-32664",
"datePublished": "2024-05-07T14:57:01.967Z",
"dateReserved": "2024-04-16T14:15:26.878Z",
"dateUpdated": "2024-06-04T17:51:44.327Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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