VAR-201701-0724
Vulnerability from variot - Updated: 2023-12-18 12:20A cross-site scripting (XSS) filter bypass vulnerability in the web-based management interface of Cisco Unified Communications Manager could allow an unauthenticated, remote attacker to mount XSS attacks against a user of an affected device. More Information: CSCvb97237. Known Affected Releases: 11.0(1.10000.10) 11.5(1.10000.6). Known Fixed Releases: 11.5(1.12029.1) 11.5(1.12900.11) 12.0(0.98000.369) 12.0(0.98000.370) 12.0(0.98000.398) 12.0(0.98000.457). Cisco IOS is a popular Internet operating system. Cisco Unified Communications Manager is a call processing component in the Cisco IP Telephony solution. An attacker could exploit the vulnerability to execute arbitrary code on a user's browser on an affected website, stealing cookie-based authentication credentials and launching other attacks. This issue is being tracked by Cisco Bug ID CSCvb97237
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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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