Vulnerability-Lookup

CNVD-2020-32907

Vulnerability from cnvd - Published: 2020-06-15

Title

Cisco Application Services Engine访问控制错误漏洞（CNVD-2020-32907）

Description

Cisco Application Services Engine是美国思科（Cisco）公司的一套用于部署Cisco数据中心应用的通用平台。 Cisco Application Services Engine 1.1.2.20之前版本中的API存在访问控制错误漏洞，该漏洞源于未能充分的进行身份验证。远程攻击者可通过发送恶意的HTTP请求利用该漏洞更新事件策略。

Severity

中

Patch Name

Cisco Application Services Engine访问控制错误漏洞（CNVD-2020-32907）的补丁

Patch Description

Formal description

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-APIC-EPU-F8y5kUOP

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-3333

Impacted products

Name
Cisco Application Services Engine <1.1.2.20

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2020-3333"
    }
  },
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  "products": {
    "product": "Cisco Application Services Engine \u003c1.1.2.20"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-3333",
  "serverity": "\u4e2d",
  "submitTime": "2020-06-04",
  "title": "Cisco Application Services Engine\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2020-32907\uff09"
}

CVE-2020-3333 (GCVE-0-2020-3333)

Vulnerability from cvelistv5 – Published: 2020-06-03 17:56 – Updated: 2024-11-15 17:10

Title

Cisco Application Services Engine Software Unauthenticated Event Policies Update Vulnerability

Summary

A vulnerability in the API of Cisco Application Services Engine Software could allow an unauthenticated, remote attacker to update event policies on an affected device. The vulnerability is due to insufficient authentication of users who modify policies on an affected device. An attacker could exploit this vulnerability by crafting a malicious HTTP request to contact an affected device. A successful exploit could allow the attacker to update event policies on the affected device.

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 2024-11-15 16:21 UTC

CWE

CWE-306

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 Application Policy Infrastructure Controller (APIC)	Affected: n/a

Date Public

2020-06-03 00:00

Show details on NVD website

JSON

To clipboard

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          }
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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.