FKIE_CVE-2017-14495
Vulnerability from fkie_nvd - Published: 2017-10-03 01:29 - Updated: 2026-06-17 01:06
Severity
Summary
Memory leak in dnsmasq before 2.78, when the --add-mac, --add-cpe-id or --add-subnet option is specified, allows remote attackers to cause a denial of service (memory consumption) via vectors involving DNS response creation.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| canonical | ubuntu_linux | 14.04 | |
| canonical | ubuntu_linux | 16.04 | |
| canonical | ubuntu_linux | 17.04 | |
| debian | debian_linux | 7.0 | |
| debian | debian_linux | 7.1 | |
| debian | debian_linux | 9.0 | |
| novell | leap | 42.2 | |
| novell | leap | 42.3 | |
| redhat | enterprise_linux_desktop | 7.0 | |
| redhat | enterprise_linux_server | 7.0 | |
| redhat | enterprise_linux_workstation | 7.0 | |
| thekelleys | dnsmasq | * |
{
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{
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"vendor": "n/a",
"versions": [
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"version": "n/a"
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"source": "cve@mitre.org"
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "Memory leak in dnsmasq before 2.78, when the --add-mac, --add-cpe-id or --add-subnet option is specified, allows remote attackers to cause a denial of service (memory consumption) via vectors involving DNS response creation."
},
{
"lang": "es",
"value": "Una fuga de memoria en las versiones anteriores a la 2.78 de dnsmasq, cuando est\u00e1n especificadas las opciones --add-mac, --add-cpe-id o --add-subnet, permite que los atacantes remotos provoquen una denegaci\u00f3n de servicio (consumo de memoria) mediante vectores relacionados con la creaci\u00f3n de respuestas DNS."
}
],
"id": "CVE-2017-14495",
"lastModified": "2026-06-17T01:06:15.393",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.0"
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"source": "nvd@nist.gov",
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"published": "2017-10-03T01:29:02.153",
"references": [
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"tags": [
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"url": "http://lists.opensuse.org/opensuse-security-announce/2017-10/msg00006.html"
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{
"source": "cve@mitre.org",
"url": "http://nvidia.custhelp.com/app/answers/detail/a_id/4561"
},
{
"source": "cve@mitre.org",
"tags": [
"Release Notes",
"Vendor Advisory"
],
"url": "http://thekelleys.org.uk/dnsmasq/CHANGELOG"
},
{
"source": "cve@mitre.org",
"url": "http://thekelleys.org.uk/gitweb/?p=dnsmasq.git%3Ba=commit%3Bh=51eadb692a5123b9838e5a68ecace3ac579a3a45"
},
{
"source": "cve@mitre.org",
"url": "http://www.arubanetworks.com/assets/alert/ARUBA-PSA-2017-005.txt"
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{
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"tags": [
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"url": "http://www.securityfocus.com/bid/101977"
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"url": "http://www.ubuntu.com/usn/USN-3430-1"
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"url": "http://www.ubuntu.com/usn/USN-3430-2"
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"url": "https://cert-portal.siemens.com/productcert/pdf/ssa-689071.pdf"
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"url": "https://security.gentoo.org/glsa/201710-27"
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"url": "https://security.googleblog.com/2017/10/behind-masq-yet-more-dns-and-dhcp.html"
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"url": "https://www.mail-archive.com/dnsmasq-discuss%40lists.thekelleys.org.uk/msg11664.html"
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"url": "https://www.mail-archive.com/dnsmasq-discuss%40lists.thekelleys.org.uk/msg11665.html"
},
{
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"url": "https://www.synology.com/support/security/Synology_SA_17_59_Dnsmasq"
},
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},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://www.synology.com/support/security/Synology_SA_17_59_Dnsmasq"
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
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{
"lang": "en",
"value": "CWE-772"
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"source": "nvd@nist.gov",
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]
}
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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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