Vulnerability-Lookup

CNVD-2021-31173

Vulnerability from cnvd - Published: 2021-04-26

Title

Schneider Electric C-Bus Toolkit权限许可和访问控制问题漏洞

Description

Schneider Electric C-Bus Toolkit是法国施耐德电气（Schneider Electric）公司的一款应用程序。用于在个人计算机上运行，配置和调试C-Bus的安装。 C-Bus Toolkit V1.15.7及之前版本存在权限许可和访问控制问题漏洞，该漏洞源于当非特权用户修改文件时，允许远程执行代码。目前没有详细漏洞细节提供。

Severity

中

Patch Name

Schneider Electric C-Bus Toolkit权限许可和访问控制问题漏洞的补丁

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://download.schneider-electric.com/files?p_Doc_Ref=SEVD-2021-103-01

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-22716

Impacted products

Name
Schneider Electric C-Bus Toolkit <=V1.15.7

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2021-22716"
    }
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  "number": "CNVD-2021-31173",
  "openTime": "2021-04-26",
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  "products": {
    "product": "Schneider Electric C-Bus Toolkit \u003c=V1.15.7"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-22716",
  "serverity": "\u4e2d",
  "submitTime": "2021-04-16",
  "title": "Schneider Electric C-Bus Toolkit\u6743\u9650\u8bb8\u53ef\u548c\u8bbf\u95ee\u63a7\u5236\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2021-22716 (GCVE-0-2021-22716)

Vulnerability from cvelistv5 – Published: 2021-04-13 18:31 – Updated: 2024-09-16 22:02

Summary

A CWE-732: Incorrect Permission Assignment for Critical Resource vulnerability exists that could allow remote code execution when an unprivileged user modifies a file. Affected Product: C-Bus Toolkit (V1.15.9 and prior)

Severity

7.8 (High)


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

CWE

CWE-732 - Incorrect Permission Assignment for Critical Resource

Assigner

schneider mitre root

References

2 references

URL	Tags
https://download.schneider-electric.com/files?p_D…
https://us-cert.cisa.gov/ics/advisories/icsa-21-105-01

Impacted products

1 product

Vendor	Product	Version
Schneider Electric	C-Bus Toolkit	Affected: V , < 1.15.9 (custom)

Date Public

2022-11-08 00:00

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-03T18:51:06.795Z",
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            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
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    "dateUpdated": "2024-09-16T22:02:57.408Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
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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.