CVE-2023-4408 (GCVE-0-2023-4408)
Vulnerability from cvelistv5 – Published: 2024-02-13 14:04 – Updated: 2025-03-14 16:16
VLAI
EPSS
VEX
Title
Parsing large DNS messages may cause excessive CPU load
Summary
The DNS message parsing code in `named` includes a section whose computational complexity is overly high. It does not cause problems for typical DNS traffic, but crafted queries and responses may cause excessive CPU load on the affected `named` instance by exploiting this flaw. This issue affects both authoritative servers and recursive resolvers.
This issue affects BIND 9 versions 9.0.0 through 9.16.45, 9.18.0 through 9.18.21, 9.19.0 through 9.19.19, 9.9.3-S1 through 9.11.37-S1, 9.16.8-S1 through 9.16.45-S1, and 9.18.11-S1 through 9.18.21-S1.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-02-21 20:37 UTC
CWE
- CWE-407 - Inefficient Algorithmic Complexity
Assigner
References
7 references
Impacted products
1 product
Date Public
2024-02-13 00:00
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"redhat_vex": {
"aggregate_severity": "Important",
"current_release_date": "2026-08-06T15:46:33+00:00",
"cve": "CVE-2023-4408",
"id": "CVE-2023-4408",
"initial_release_date": "2023-01-01T00:00:00+00:00",
"product_status:fixed": "2047",
"product_status:known_affected": "9",
"product_status:known_not_affected": "103",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "bind9: Parsing large DNS messages may cause excessive CPU load",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2023/cve-2023-4408.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "important",
"current_release_date": "2026-09-15T02:26:45Z",
"cve": "CVE-2023-4408",
"id": "CVE-2023-4408",
"initial_release_date": "2024-02-17T03:27:53Z",
"product_status:known_affected": "511",
"product_status:known_not_affected": "151",
"product_status:recommended": "559",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2023-4408",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2023-4408.json",
"version": "68"
},
"vulnrichment": {
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\"HIGH\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"NONE\"}}], \"affected\": [{\"vendor\": \"ISC\", \"product\": \"BIND 9\", \"versions\": [{\"status\": \"affected\", \"version\": \"9.0.0\", \"versionType\": \"custom\", \"lessThanOrEqual\": \"9.16.45\"}, {\"status\": \"affected\", \"version\": \"9.18.0\", \"versionType\": \"custom\", \"lessThanOrEqual\": \"9.18.21\"}, {\"status\": \"affected\", \"version\": \"9.19.0\", \"versionType\": \"custom\", \"lessThanOrEqual\": \"9.19.19\"}, {\"status\": \"affected\", \"version\": \"9.9.3-S1\", \"versionType\": \"custom\", \"lessThanOrEqual\": \"9.11.37-S1\"}, {\"status\": \"affected\", \"version\": \"9.16.8-S1\", \"versionType\": \"custom\", \"lessThanOrEqual\": \"9.16.45-S1\"}, {\"status\": \"affected\", \"version\": \"9.18.11-S1\", \"versionType\": \"custom\", \"lessThanOrEqual\": \"9.18.21-S1\"}], \"defaultStatus\": \"unaffected\"}], \"exploits\": [{\"lang\": \"en\", \"value\": \"We are not aware of any active 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\"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/ZDZFMEKQTZ4L7RY46FCENWFB5MDT263R/\"}, {\"url\": \"https://security.netapp.com/advisory/ntap-20240426-0001/\"}], \"workarounds\": [{\"lang\": \"en\", \"value\": \"No workarounds known.\"}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"The DNS message parsing code in `named` includes a section whose computational complexity is overly high. It does not cause problems for typical DNS traffic, but crafted queries and responses may cause excessive CPU load on the affected `named` instance by exploiting this flaw. This issue affects both authoritative servers and recursive resolvers.\\nThis issue affects BIND 9 versions 9.0.0 through 9.16.45, 9.18.0 through 9.18.21, 9.19.0 through 9.19.19, 9.9.3-S1 through 9.11.37-S1, 9.16.8-S1 through 9.16.45-S1, and 9.18.11-S1 through 9.18.21-S1.\"}], \"providerMetadata\": {\"orgId\": \"404fd4d2-a609-4245-b543-2c944a302a22\", \"shortName\": \"isc\", \"dateUpdated\": \"2024-04-26T09:06:37.227Z\"}}}",
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"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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