CVE-2010-4304 (GCVE-0-2010-4304)
Vulnerability from cvelistv5 – Published: 2010-11-22 19:00 – Updated: 2024-09-16 22:09
VLAI
EPSS
VEX
Summary
The web interface in Cisco Unified Videoconferencing (UVC) System 3545, 5110, 5115, and 5230; Unified Videoconferencing 3527 Primary Rate Interface (PRI) Gateway; Unified Videoconferencing 3522 Basic Rate Interfaces (BRI) Gateway; and Unified Videoconferencing 3515 Multipoint Control Unit (MCU) uses predictable session IDs based on time values, which makes it easier for remote attackers to hijack sessions via a brute-force attack, aka Bug ID CSCti54048.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| http://www.trustmatta.com/advisories/MATTA-2010-001.txt | x_refsource_MISC |
| http://www.cisco.com/en/US/products/products_secu… | vendor-advisoryx_refsource_CISCO |
| http://seclists.org/fulldisclosure/2010/Nov/167 | mailing-listx_refsource_FULLDISC |
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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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