Vulnerability-Lookup

CNVD-2022-50627

Vulnerability from cnvd - Published: 2022-07-08

Title

Cisco Unified Communications Manager和Cisco Unity Connection信息泄露漏洞

Description

Cisco Unity Connection（UC）和Cisco Unified Communications Manager（CUCM，Unified CM，CallManager）都是美国思科（Cisco）公司的产品。Cisco Unity Connection是一套语音留言平台。该平台可利用语音命令，以免提方式拨打电话或收听留言。Cisco Unified Communications Manager是一款统一通信系统中的呼叫处理组件。该组件提供了一种可扩展、可分布和高可用的企业IP电话呼叫处理解决方案。 Cisco Unified Communications Manager和Cisco Unity Connection信息泄露漏洞，攻击者可以利用该漏洞窃取敏感信息。

Severity

中

Patch Name

Cisco Unified Communications Manager和Cisco Unity Connection信息泄露漏洞的补丁

Patch Description

Formal description

目前厂商已经发布了升级补丁以修复这个安全问题，请到厂商的主页下载: https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-ucm-timing-JVbHECOK

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-20752

Impacted products

Name
['Cisco Cisco Unified Communications Manager', 'Cisco Cisco Unity Connection']

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2022-20752",
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  "serverity": "\u4e2d",
  "submitTime": "2022-07-07",
  "title": "Cisco Unified Communications Manager\u548cCisco Unity Connection\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2022-20752 (GCVE-0-2022-20752)

Vulnerability from cvelistv5 – Published: 2022-07-06 20:30 – Updated: 2024-11-01 19:00

Title

Cisco Unified Communications Products Timing Attack Vulnerability

Summary

A vulnerability in Cisco Unified Communications Manager (Unified CM), Cisco Unified Communications Manager Session Management Edition (Unified CM SME), and Cisco Unity Connection could allow an unauthenticated, remote attacker to perform a timing attack. This vulnerability is due to insufficient protection of a system password. An attacker could exploit this vulnerability by observing the time it takes the system to respond to various queries. A successful exploit could allow the attacker to determine a sensitive system password.

Severity

5.3 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-11-01 18:43 UTC

CWE

CWE-208

Assigner

cisco mitre root

References

1 reference

URL	Tags
https://tools.cisco.com/security/center/content/C…	vendor-advisoryx_refsource_CISCO

Impacted products

1 product

Vendor	Product	Version
Cisco	Cisco Unified Communications Manager	Affected: n/a

Date Public

2022-07-06 00:00

Show details on NVD website

JSON

To clipboard

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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.