CVE-2015-3140 (GCVE-0-2015-3140)
Vulnerability from cvelistv5 – Published: 2019-11-21 21:41 – Updated: 2024-08-06 05:39
VLAI
EPSS
VEX
Summary
Multiple cross-site request forgery (CSRF) vulnerabilities in Synametrics Technologies SynaMan before 3.5 Build 1451, Syncrify before 3.7 Build 856, and SynTail before 1.5 Build 567
Severity
8.8 (High)
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| http://web.synametrics.com/SynamanVersionHistory.htm | x_refsource_CONFIRM |
| https://web.synametrics.com/SyntailVersionHistory.htm | x_refsource_CONFIRM |
| https://web.synametrics.com/SyncrifyVersionHistory.htm | x_refsource_CONFIRM |
Date Public
2015-05-08 00:00
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{
"nodes": [
{
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"cveTags": [],
"descriptions": [
{
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},
{
"lang": "es",
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],
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"published": "2019-11-21T22:15:15.380",
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{
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}
}
}
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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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