FKIE_CVE-2017-7542
Vulnerability from fkie_nvd - Published: 2017-07-21 16:29 - Updated: 2026-06-17 01:24
Severity
Summary
The ip6_find_1stfragopt function in net/ipv6/output_core.c in the Linux kernel through 4.12.3 allows local users to cause a denial of service (integer overflow and infinite loop) by leveraging the ability to open a raw socket.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| linux | linux_kernel | * |
{
"affected": [
{
"affectedData": [
{
"product": "Linux kernel versions up to and including 4.12",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "Linux kernel versions up to and including 4.12"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*",
"matchCriteriaId": "93B616B9-0E9C-48F4-B663-8278767861FB",
"versionEndIncluding": "4.12.3",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The ip6_find_1stfragopt function in net/ipv6/output_core.c in the Linux kernel through 4.12.3 allows local users to cause a denial of service (integer overflow and infinite loop) by leveraging the ability to open a raw socket."
},
{
"lang": "es",
"value": "La funci\u00f3n ip6_find_1stfragopt en el archivo net/ipv6/output_core.c en el kernel de Linux hasta la versi\u00f3n 4.12.3, permite a los usuarios locales causar una denegaci\u00f3n de servicio (desbordamiento de enteros y bucle infinito) mediante la explotaci\u00f3n de la capacidad de abrir un socket sin procesar."
}
],
"id": "CVE-2017-7542",
"lastModified": "2026-06-17T01:24:34.363",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 4.9,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.0"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-07-21T16:29:00.393",
"references": [
{
"source": "secalert@redhat.com",
"tags": [
"Issue Tracking",
"Patch",
"Third Party Advisory"
],
"url": "http://git.kernel.org/cgit/linux/kernel/git/torvalds/linux.git/commit/?id=6399f1fae4ec29fab5ec76070435555e256ca3a6"
},
{
"source": "secalert@redhat.com",
"url": "http://www.debian.org/security/2017/dsa-3927"
},
{
"source": "secalert@redhat.com",
"url": "http://www.debian.org/security/2017/dsa-3945"
},
{
"source": "secalert@redhat.com",
"url": "http://www.securityfocus.com/bid/99953"
},
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/errata/RHSA-2017:2918"
},
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/errata/RHSA-2017:2930"
},
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/errata/RHSA-2017:2931"
},
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/errata/RHSA-2018:0169"
},
{
"source": "secalert@redhat.com",
"tags": [
"Issue Tracking",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/torvalds/linux/commit/6399f1fae4ec29fab5ec76070435555e256ca3a6"
},
{
"source": "secalert@redhat.com",
"url": "https://help.ecostruxureit.com/display/public/UADCE725/Security+fixes+in+StruxureWare+Data+Center+Expert+v7.6.0"
},
{
"source": "secalert@redhat.com",
"url": "https://usn.ubuntu.com/3583-1/"
},
{
"source": "secalert@redhat.com",
"url": "https://usn.ubuntu.com/3583-2/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Issue Tracking",
"Patch",
"Third Party Advisory"
],
"url": "http://git.kernel.org/cgit/linux/kernel/git/torvalds/linux.git/commit/?id=6399f1fae4ec29fab5ec76070435555e256ca3a6"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.debian.org/security/2017/dsa-3927"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.debian.org/security/2017/dsa-3945"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/bid/99953"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://access.redhat.com/errata/RHSA-2017:2918"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://access.redhat.com/errata/RHSA-2017:2930"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://access.redhat.com/errata/RHSA-2017:2931"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://access.redhat.com/errata/RHSA-2018:0169"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Issue Tracking",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/torvalds/linux/commit/6399f1fae4ec29fab5ec76070435555e256ca3a6"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://help.ecostruxureit.com/display/public/UADCE725/Security+fixes+in+StruxureWare+Data+Center+Expert+v7.6.0"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://usn.ubuntu.com/3583-1/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://usn.ubuntu.com/3583-2/"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-190"
}
],
"source": "secalert@redhat.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-190"
},
{
"lang": "en",
"value": "CWE-835"
}
],
"source": "nvd@nist.gov",
"type": "Secondary"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…