VAR-201310-0007
Vulnerability from variot - Updated: 2023-12-18 12:52Cross-site request forgery (CSRF) vulnerability in the web-management interface in the fabric interconnect (FI) component in Cisco Unified Computing System (UCS) allows remote attackers to hijack the authentication of arbitrary users, aka Bug ID CSCtg20755. Vendors have confirmed this vulnerability Bug ID CSCtg20755 It is released as.A third party may be able to hijack the authentication of any user. The Cisco Unified Computing System simplifies IT management and increases flexibility by consolidating unified computing, networking, storage access, and virtualization into one system. An attacker can construct a malicious URI, entice the logged in user to resolve, and perform arbitrary operations in the target user context. Other attacks are also possible. This issue is being tracked by Cisco bug ID CSCtg20755. The system integrates network, computing and virtualization resources into one platform by extensively adopting virtualization technology
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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.
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