Vulnerability-Lookup

CNVD-2019-39700

Vulnerability from cnvd - Published: 2019-11-08

Title

Cisco HyperFlex软件静态SSL密钥漏洞

Description

Cisco HyperFlex是Cisco的超融合基础架构(HCI)平台，专为满足多云IT的需求而打造，可通过简单的超融合基础设施提供支持。 Cisco HyperFlex软件4.0(1a)之前版本存在静态SSL密钥漏洞。该漏洞源于密钥管理不足。攻击者可通过获取集群的特定加密密钥对集群中的其他节点进行中间人攻击。

Severity

中

Patch Name

Cisco HyperFlex软件静态SSL密钥漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190821-hyperflex-sslkey

Reference

https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190821-hyperflex-sslkey

Impacted products

Name
Cisco Cisco HyperFlex软件 <4.0(1a)

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-12621",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-12621"
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  "number": "CNVD-2019-39700",
  "openTime": "2019-11-08",
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  "products": {
    "product": "Cisco Cisco HyperFlex\u8f6f\u4ef6 \u003c4.0(1a)"
  },
  "referenceLink": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190821-hyperflex-sslkey",
  "serverity": "\u4e2d",
  "submitTime": "2019-08-22",
  "title": "Cisco HyperFlex\u8f6f\u4ef6\u9759\u6001SSL\u5bc6\u94a5\u6f0f\u6d1e"
}

CVE-2019-12621 (GCVE-0-2019-12621)

Vulnerability from cvelistv5 – Published: 2019-08-21 18:00 – Updated: 2024-11-20 17:12

Title

Cisco HyperFlex Static SSL Key Vulnerability

Summary

A vulnerability in Cisco HyperFlex Software could allow an unauthenticated, remote attacker to perform a man-in-the-middle attack. The vulnerability is due to insufficient key management. An attacker could exploit this vulnerability by obtaining a specific encryption key for the cluster. A successful exploit could allow the attacker to perform a man-in-the-middle attack against other nodes in the cluster.

Severity

6.8 (Medium)


                        
                          CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-11-20 16:52 UTC

CWE

CWE-320

Assigner

cisco CNA under the mitre root

CNA scorecard C 66/100 over 377 records in the last 180 days details

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 HyperFlex HX-Series	Affected: unspecified , < 4.0(1a) (custom)

Date Public

2019-08-21 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.

Vulnerability timeline

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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.

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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