VAR-201401-0337
Vulnerability from variot - Updated: 2023-12-18 13:24Multiple cross-site scripting (XSS) vulnerabilities in the web interface on Cisco Video Surveillance 5000 HD IP Dome cameras allow remote attackers to inject arbitrary web script or HTML via a crafted URL, aka Bug IDs CSCud10943 and CSCud10950. Vendors have confirmed this vulnerability Bug ID CSCud10943 and CSCud10950 It is released as.Skillfully crafted by a third party URL Through any Web Script or HTML May be inserted. Allows an attacker to build a malicious URI, entice a user to resolve, and obtain sensitive information or hijack a user session when malicious data is viewed. An attacker may leverage these issues to execute arbitrary script code in the browser of an unsuspecting user in the context of the affected site. This can allow the attacker to steal cookie-based authentication credentials and launch other attacks. These issues are being tracked by Cisco Bug ID's CSCud10943 and CSCud10950
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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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