GSD-2017-5928
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The W3C High Resolution Time API, as implemented in various web browsers, does not consider that memory-reference times can be measured by a performance.now "Time to Tick" approach even with the https://bugzilla.mozilla.org/show_bug.cgi?id=1167489#c9 protection mechanism in place, which makes it easier for remote attackers to conduct AnC attacks via crafted JavaScript code.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-5928",
"description": "The W3C High Resolution Time API, as implemented in various web browsers, does not consider that memory-reference times can be measured by a performance.now \"Time to Tick\" approach even with the https://bugzilla.mozilla.org/show_bug.cgi?id=1167489#c9 protection mechanism in place, which makes it easier for remote attackers to conduct AnC attacks via crafted JavaScript code.",
"id": "GSD-2017-5928",
"references": [
"https://www.suse.com/security/cve/CVE-2017-5928.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2017-5928",
"modified": "2023-12-13T01:21:13.359701Z",
"schema_version": "1.4.0"
}
},
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"url": "http://www.cs.vu.nl/~herbertb/download/papers/anc_ndss17.pdf"
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{
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},
"impact": {
"baseMetricV2": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:N/A:N",
"version": "2.0"
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"impactScore": 2.9,
"obtainAllPrivilege": false,
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"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 3.7,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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"version": "3.1"
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},
"lastModifiedDate": "2021-09-13T12:04Z",
"publishedDate": "2017-02-27T07:59Z"
}
}
}
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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.
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- 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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