CVE-2017-7187 (GCVE-0-2017-7187)
Vulnerability from cvelistv5 – Published: 2017-03-20 14:00 – Updated: 2024-08-05 15:56
VLAI
EPSS
VEX
Summary
The sg_ioctl function in drivers/scsi/sg.c in the Linux kernel through 4.10.4 allows local users to cause a denial of service (stack-based buffer overflow) or possibly have unspecified other impact via a large command size in an SG_NEXT_CMD_LEN ioctl call, leading to out-of-bounds write access in the sg_write function.
Severity
7.8 (High)
CWE
- n/a
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://source.android.com/security/bulletin/pixe… | x_refsource_CONFIRM |
| https://git.kernel.org/pub/scm/linux/kernel/git/m… | x_refsource_MISC |
| https://access.redhat.com/errata/RHSA-2017:2669 | vendor-advisoryx_refsource_REDHAT |
| http://www.securitytracker.com/id/1038086 | vdb-entryx_refsource_SECTRACK |
| https://access.redhat.com/errata/RHSA-2017:2077 | vendor-advisoryx_refsource_REDHAT |
| https://gist.github.com/dvyukov/48ad14e84de45b0be… | x_refsource_MISC |
| https://access.redhat.com/errata/RHSA-2017:1842 | vendor-advisoryx_refsource_REDHAT |
| http://www.securityfocus.com/bid/96989 | vdb-entryx_refsource_BID |
Date Public
2017-03-20 00:00
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"url": "https://git.kernel.org/pub/scm/linux/kernel/git/mkp/scsi.git/commit/?h=4.11/scsi-fixes\u0026id=bf33f87dd04c371ea33feb821b60d63d754e3124"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://source.android.com/security/bulletin/pixel/2017-10-01"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/96989"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securitytracker.com/id/1038086"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://access.redhat.com/errata/RHSA-2017:1842"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://access.redhat.com/errata/RHSA-2017:2077"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://access.redhat.com/errata/RHSA-2017:2669"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://gist.github.com/dvyukov/48ad14e84de45b0be92b7f0eda20ff1b"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Issue Tracking",
"Patch",
"Vendor Advisory"
],
"url": "https://git.kernel.org/pub/scm/linux/kernel/git/mkp/scsi.git/commit/?h=4.11/scsi-fixes\u0026id=bf33f87dd04c371ea33feb821b60d63d754e3124"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://source.android.com/security/bulletin/pixel/2017-10-01"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-06-28T11:13:20+00:00",
"cve": "CVE-2017-7187",
"id": "CVE-2017-7187",
"initial_release_date": "2017-03-16T00:00:00+00:00",
"product_status:fixed": "201",
"product_status:known_not_affected": "22",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: scsi: Stack-based buffer overflow in sg_ioctl function",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-7187.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-09-01T01:59:30Z",
"cve": "CVE-2017-7187",
"id": "CVE-2017-7187",
"initial_release_date": "2023-02-15T04:48:13Z",
"product_status:known_affected": "14",
"product_status:known_not_affected": "357",
"product_status:recommended": "441",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2017-7187",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2017-7187.json",
"version": "20"
}
}
}
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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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