Vulnerability-Lookup

CNVD-2020-47585

Vulnerability from cnvd - Published: 2020-08-22

Title

Cisco Cyber Vision Center Software访问控制错误漏洞

Description

Cisco Cyber Vision Center Software是美国思科（Cisco）公司的一套工业控制系统（ICS）监控解决方案。该产品支持动态资产清单、网络实时监控等功能。 Cisco Cyber Vision Center Software 3.0.4之前版本和3.1.0之前版本中的访问控制机制存在访问控制错误漏洞。远程攻击者可通过直接访问内部服务利用该漏洞影响传感器的监测。

Severity

中

Patch Name

Cisco Cyber Vision Center Software访问控制错误漏洞的补丁

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-cvc-bypass-K99Cb2ff

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-3448

Impacted products

Name
['Cisco Cisco Cyber Vision Center Software <3.0.4', 'Cisco Cisco Cyber Vision Center Software <3.1.0']

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-3448",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-3448"
    }
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  "number": "CNVD-2020-47585",
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  "products": {
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      "Cisco Cisco Cyber Vision Center Software \u003c3.0.4",
      "Cisco Cisco Cyber Vision Center Software \u003c3.1.0"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-3448",
  "serverity": "\u4e2d",
  "submitTime": "2020-08-06",
  "title": "Cisco Cyber Vision Center Software\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2020-3448 (GCVE-0-2020-3448)

Vulnerability from cvelistv5 – Published: 2020-08-17 18:00 – Updated: 2024-11-13 18:15

Title

Cisco Cyber Vision Center Software Access Control Bypass Vulnerability

Summary

A vulnerability in an access control mechanism of Cisco Cyber Vision Center Software could allow an unauthenticated, remote attacker to bypass authentication and access internal services that are running on an affected device. The vulnerability is due to insufficient enforcement of access control in the software. An attacker could exploit this vulnerability by directly accessing the internal services of an affected device. A successful exploit could allow an attacker to impact monitoring of sensors that are managed by the software.

Severity

5.8 (Medium)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-11-13 17:13 UTC

CWE

CWE-284

Assigner

cisco CNA under the mitre root

CNA scorecard C 66/100 over 443 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 Cyber Vision	Affected: n/a

Date Public

2020-08-05 00:00

Show details on NVD website

JSON

To clipboard

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  "containers": {
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        "providerMetadata": {
          "dateUpdated": "2024-08-04T07:37:54.284Z",
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        "references": [
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            "name": "20200805 Cisco Cyber Vision Center Software Access Control Bypass Vulnerability",
            "tags": [
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              "x_refsource_CISCO",
              "x_transferred"
            ],
            "url": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-cvc-bypass-K99Cb2ff"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "metrics": [
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                  }
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                "role": "CISA Coordinator",
                "timestamp": "2024-11-13T17:13:17.284195Z",
                "version": "2.0.3"
              },
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        "providerMetadata": {
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          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
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    ],
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          "versions": [
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      "exploits": [
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      ],
      "metrics": [
        {
          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 5.8,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:L/A:N",
            "version": "3.0"
          }
        }
      ],
      "problemTypes": [
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      "providerMetadata": {
        "dateUpdated": "2020-08-17T18:00:49.000Z",
        "orgId": "d1c1063e-7a18-46af-9102-31f8928bc633",
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      },
      "references": [
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      },
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        },
        "affects": {
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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

Sightings and recorded dates, grouped by day · UTC

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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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