VAR-201702-0605
Vulnerability from variot - Updated: 2023-12-18 13:29The 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. W3CHighResolutionTimeAPI is a set of JavaScript interfaces for the current time format that provides sub-millisecond resolution for web applications. A security vulnerability exists in W3CHighResolutionTimeAPI. An attacker could exploit the vulnerability to implement an AnC attack with specially crafted JavaScript code. W3C High Resolution Time API is prone to a security vulnerability. Attackers can exploit this issue to bypass certain security restrictions and gain access to some sensitive information. This may aid in further attacks
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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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