Vulnerability-Lookup

VAR-201609-0390

Vulnerability from variot - Updated: 2023-12-18 12:05

Cisco WebEx Meetings Server 2.6 allows remote attackers to cause a denial of service (CPU consumption) by repeatedly accessing the account-validation component of an unspecified service, aka Bug ID CSCuy92704. Attackers can exploit this issue to cause a denial-of-service condition, denying service to legitimate users. This issue is being tracked by Cisco Bug ID CSCuy92704. Cisco WebEx Meetings Server (CWMS) is a set of multi-functional conference solutions including audio, video and Web conference in Cisco's WebEx conference solution. A denial of service vulnerability exists in CWMS version 2.6

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CVE-2016-1483 (GCVE-0-2016-1483)

Vulnerability from cvelistv5 – Published: 2016-09-19 01:00 – Updated: 2024-08-05 22:55

Summary

Severity

No CVSS data available.

CWE

Assigner

cisco mitre root

References

3 references

URL	Tags
http://tools.cisco.com/security/center/content/Ci…	vendor-advisoryx_refsource_CISCO
http://www.securityfocus.com/bid/92957	vdb-entryx_refsource_BID
http://www.securitytracker.com/id/1036808	vdb-entryx_refsource_SECTRACK

Date Public

2016-09-14 00:00

Show details on NVD website

JSON

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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.

Detection rules are retrieved from Rulezet.

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.

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.