VAR-201611-0388
Vulnerability from variot - Updated: 2025-04-13 23:02A vulnerability in the Cisco Nexus 9000 Series Platform Leaf Switches for Application Centric Infrastructure (ACI) could allow an unauthenticated, adjacent attacker to cause a denial of service (DoS) condition on the affected device. This vulnerability affects Cisco Nexus 9000 Series Leaf Switches (TOR) - ACI Mode and Cisco Application Policy Infrastructure Controller (APIC). More Information: CSCuy93241. Known Affected Releases: 11.2(2x) 11.2(3x) 11.3(1x) 11.3(2x) 12.0(1x). Known Fixed Releases: 11.2(2i) 11.2(2j) 11.2(3f) 11.2(3g) 11.2(3h) 11.2(3l) 11.3(0.236) 11.3(1j) 11.3(2i) 11.3(2j) 12.0(1r). Vendors have confirmed this vulnerability Bug ID CSCuy93241 It is released as.Denial of service by an attacker on an adjacent network (DoS) There is a possibility of being put into a state. An attacker can exploit this issue to cause a denial-of-service condition. This issue is being tracked by Cisco Bug IDCSCuy93241
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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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