Vulnerability-Lookup

CNVD-2020-35496

Vulnerability from cnvd - Published: 2020-07-01

Title

Eaton Intelligent Power Manager输入验证错误漏洞

Description

Eaton Intelligent Power Manager（IPM）是美国Eaton公司的一款智能电源管理器，它支持从界面远程监视和管理网络中的多个设备。 Eaton IPM 1.67及之前版本中存在输入验证错误漏洞，该漏洞源于程序未能正确验证配置文件的名称。攻击者可借助特制文件名利用该漏洞注入命令或执行代码。

Severity

中

Patch Name

Eaton Intelligent Power Manager输入验证错误漏洞的补丁

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://www.eaton.com/content/dam/eaton/company/news-insights/cybersecurity/security-bulletins/eaton-vulnerability-advisory-intelligent-power-manager-v1-1.pdf

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-6651

Impacted products

Name
Eaton Intelligent Power Manager <=1.67

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-6651"
    }
  },
  "description": "Eaton Intelligent Power Manager\uff08IPM\uff09\u662f\u7f8e\u56fdEaton\u516c\u53f8\u7684\u4e00\u6b3e\u667a\u80fd\u7535\u6e90\u7ba1\u7406\u5668\uff0c\u5b83\u652f\u6301\u4ece\u754c\u9762\u8fdc\u7a0b\u76d1\u89c6\u548c\u7ba1\u7406\u7f51\u7edc\u4e2d\u7684\u591a\u4e2a\u8bbe\u5907\u3002\n\nEaton IPM 1.67\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u914d\u7f6e\u6587\u4ef6\u7684\u540d\u79f0\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u6587\u4ef6\u540d\u5229\u7528\u8be5\u6f0f\u6d1e\u6ce8\u5165\u547d\u4ee4\u6216\u6267\u884c\u4ee3\u7801\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-35496",
  "openTime": "2020-07-01",
  "patchDescription": "Eaton Intelligent Power Manager\uff08IPM\uff09\u662f\u7f8e\u56fdEaton\u516c\u53f8\u7684\u4e00\u6b3e\u667a\u80fd\u7535\u6e90\u7ba1\u7406\u5668\uff0c\u5b83\u652f\u6301\u4ece\u754c\u9762\u8fdc\u7a0b\u76d1\u89c6\u548c\u7ba1\u7406\u7f51\u7edc\u4e2d\u7684\u591a\u4e2a\u8bbe\u5907\u3002\r\n\r\nEaton IPM 1.67\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u914d\u7f6e\u6587\u4ef6\u7684\u540d\u79f0\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u6587\u4ef6\u540d\u5229\u7528\u8be5\u6f0f\u6d1e\u6ce8\u5165\u547d\u4ee4\u6216\u6267\u884c\u4ee3\u7801\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Eaton Intelligent Power Manager\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Eaton Intelligent Power Manager \u003c=1.67"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-6651",
  "serverity": "\u4e2d",
  "submitTime": "2020-05-08",
  "title": "Eaton Intelligent Power Manager\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2020-6651 (GCVE-0-2020-6651)

Vulnerability from cvelistv5 – Published: 2020-05-07 15:58 – Updated: 2024-09-16 23:06

Title

Command injection via specially crafted file name during config file upload

Summary

Improper Input Validation in Eaton's Intelligent Power Manager (IPM) v 1.67 & prior on file name during configuration file import functionality allows attackers to perform command injection or code execution via specially crafted file names while uploading the configuration file in the application.

Severity

8.8 (High)


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

CWE

CWE-20 - Improper Input Validation

Assigner

Eaton mitre root

References

2 references

URL	Tags
https://www.eaton.com/content/dam/eaton/company/n…	x_refsource_MISC
https://www.zerodayinitiative.com/advisories/ZDI-…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Eaton	Intelligent Power manager (IPM)	Affected: unspecified , ≤ 1.67 (custom)

Date Public

2020-05-04 00:00

Credits

Eaton would like to thank Sivathmican Sivakumaran for working with Eaton and helping Eaton in releasing more robust and secure products.

Show details on NVD website

JSON

To clipboard

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            "url": "https://www.eaton.com/content/dam/eaton/company/news-insights/cybersecurity/security-bulletins/eaton-vulnerability-advisory-intelligent-power-manager-v1-1.pdf"
          },
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            "url": "https://www.zerodayinitiative.com/advisories/ZDI-20-649/"
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        ],
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      "metrics": [
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      "solutions": [
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          "lang": "en",
          "value": "Update the software to latest version 1.68."
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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.