VAR-201701-0728
Vulnerability from variot - Updated: 2023-12-18 13:34A vulnerability in the Cisco IOS Software forwarding queue of Cisco 2960X and 3750X switches could allow an unauthenticated, adjacent attacker to cause a memory leak in the software forwarding queue that would eventually lead to a partial denial of service (DoS) condition. More Information: CSCva72252. Known Affected Releases: 15.2(2)E3 15.2(4)E1. Known Fixed Releases: 15.2(2)E6 15.2(4)E3 15.2(5)E1 15.2(5.3.28i)E1 15.2(6.0.49i)E 3.9(1)E. Vendors have confirmed this vulnerability Bug ID CSCva72252 It is released as.Denial of service by an adjacent attacker (DoS) There is a possibility of being put into a state. The Cisco Catalyst 2960 and 3750 Series Switches are IOS are Cisco switches running Cisco IOS operating systems. A denial of service vulnerability exists in the Cisco Catalyst 2960 and 3750 Series Switches for IOS. An attacker could exploit this vulnerability to cause a denial of service. This issue is being tracked by Cisco Bug ID CSCva72252
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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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