CVE-2015-5380 (GCVE-0-2015-5380)
Vulnerability from cvelistv5 – Published: 2015-07-09 10:00 – Updated: 2024-08-06 06:50
VLAI
EPSS
VEX
Summary
The Utf8DecoderBase::WriteUtf16Slow function in unicode-decoder.cc in Google V8, as used in Node.js before 0.12.6, io.js before 1.8.3 and 2.x before 2.3.3, and other products, does not verify that there is memory available for a UTF-16 surrogate pair, which allows remote attackers to cause a denial of service (memory corruption) or possibly have unspecified other impact via a crafted byte sequence.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://codereview.chromium.org/1226493003 | x_refsource_CONFIRM |
| https://medium.com/%40iojs/important-security-upg… | x_refsource_CONFIRM |
| https://github.com/joyent/node/issues/25583 | x_refsource_CONFIRM |
| http://blog.nodejs.org/2015/07/03/node-v0-12-6-stable/ | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/75556 | vdb-entryx_refsource_BID |
Date Public
2015-07-05 00:00
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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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