Vulnerability-Lookup

CNVD-2019-39729

Vulnerability from cnvd - Published: 2019-11-08

Title

Cisco HyperFlex Software数据伪造问题漏洞

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为任何地方的任何应用提供支持。 Cisco HyperFlex软件3.5.2f、4.0.1b及更早版本中的统计信息收集服务存在计数器值注入漏洞。该漏洞源于统计信息收集服务的验证不足。攻击者可利用该漏洞通过将格式正确的数据值发送到受影响设备的统计信息收集服务导致Web界面统计信息视图向用户呈现无效数据。

Severity

中

Patch Name

Cisco HyperFlex Software数据伪造问题漏洞的补丁

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-20190918-hyperflex-valinj

Reference

https://nvd.nist.gov/vuln/detail/CVE-2019-12620

Impacted products

Name
['Cisco Cisco HyperFlex软件 <=3.5.2f', 'Cisco Cisco HyperFlex软件 <=4.0.1b']

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2019-12620",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-12620"
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    ]
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-12620",
  "serverity": "\u4e2d",
  "submitTime": "2019-09-19",
  "title": "Cisco HyperFlex Software\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2019-12620 (GCVE-0-2019-12620)

Vulnerability from cvelistv5 – Published: 2019-09-18 16:15 – Updated: 2024-11-19 18:57

Title

Cisco HyperFlex Software Counter Value Injection Vulnerability

Summary

A vulnerability in the statistics collection service of Cisco HyperFlex Software could allow an unauthenticated, remote attacker to inject arbitrary values on an affected device. The vulnerability is due to insufficient authentication for the statistics collection service. An attacker could exploit this vulnerability by sending properly formatted data values to the statistics collection service of an affected device. A successful exploit could allow the attacker to cause the web interface statistics view to present invalid data to users.

Severity

5.3 (Medium)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-11-19 17:23 UTC

CWE

CWE-345

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 HyperFlex HX-Series	Affected: unspecified , < 3.5.2f (custom)

Date Public

2019-09-18 00:00

Show details on NVD website

JSON

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        "metrics": [
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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.