GSD-2017-15118
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
A stack-based buffer overflow vulnerability was found in NBD server implementation in qemu before 2.11 allowing a client to request an export name of size up to 4096 bytes, which in fact should be limited to 256 bytes, causing an out-of-bounds stack write in the qemu process. If NBD server requires TLS, the attacker cannot trigger the buffer overflow without first successfully negotiating TLS.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-15118",
"description": "A stack-based buffer overflow vulnerability was found in NBD server implementation in qemu before 2.11 allowing a client to request an export name of size up to 4096 bytes, which in fact should be limited to 256 bytes, causing an out-of-bounds stack write in the qemu process. If NBD server requires TLS, the attacker cannot trigger the buffer overflow without first successfully negotiating TLS.",
"id": "GSD-2017-15118",
"references": [
"https://www.suse.com/security/cve/CVE-2017-15118.html",
"https://access.redhat.com/errata/RHSA-2018:1113",
"https://access.redhat.com/errata/RHSA-2018:1104",
"https://ubuntu.com/security/CVE-2017-15118",
"https://packetstormsecurity.com/files/cve/CVE-2017-15118"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2017-15118",
"modified": "2023-12-13T01:20:58.456212Z",
"schema_version": "1.4.0"
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"impact": {
"baseMetricV2": {
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 7.5,
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"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
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"obtainAllPrivilege": false,
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"severity": "HIGH",
"userInteractionRequired": false
},
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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},
"lastModifiedDate": "2019-10-09T23:24Z",
"publishedDate": "2018-07-27T21:29Z"
}
}
}
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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
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- 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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