CVE-2019-19631 (GCVE-0-2019-19631)
Vulnerability from cvelistv5 – Published: 2020-01-24 15:15 – Updated: 2024-08-05 02:25
VLAI
EPSS
VEX
Summary
An issue was discovered in Big Switch Big Monitoring Fabric 6.2 through 6.2.4, 6.3 through 6.3.9, 7.0 through 7.0.3, and 7.1 through 7.1.3; Big Cloud Fabric 4.5 through 4.5.5, 4.7 through 4.7.7, 5.0 through 5.0.1, and 5.1 through 5.1.4; and Multi-Cloud Director through 1.1.0. A read-only user can access sensitive information via an API endpoint that reveals session cookies of authenticated administrators, leading to privilege escalation.
Severity
8.8 (High)
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://know.bishopfox.com/advisories | x_refsource_MISC |
| https://know.bishopfox.com/advisories/big-monitor… | x_refsource_MISC |
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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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