Vulnerability-Lookup

CNVD-2021-31474

Vulnerability from cnvd - Published: 2021-04-27

Title

Xiaomi Mi Jia ink-jet printer注入漏洞

Description

Xiaomi Mi Jia ink-jet printer是中国小米科技（Xiaomi）公司的一款多功能打印机。 Xiaomi Mi Jia ink-jet printer 3.4.6_0138之前版本中存在安全漏洞。攻击者可借助Web管理后台利用该漏洞将参数注入ippserver，进而执行命令。

Severity

高

Patch Name

Xiaomi Mi Jia ink-jet printer注入漏洞的补丁

Patch Description

Xiaomi Mi Jia ink-jet printer是中国小米科技（Xiaomi）公司的一款多功能打印机。 Xiaomi Mi Jia ink-jet printer 3.4.6_0138之前版本中存在安全漏洞。攻击者可借助Web管理后台利用该漏洞将参数注入ippserver，进而执行命令。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

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://privacy.mi.com/trust#/security/vulnerability-management/vulnerability-announcement/detail?id=13

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-10561

Impacted products

Name
Xiaomi Mi Jia ink-jet printer <3.4.6_0138

Show details on source website

JSON

To clipboard

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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-31474",
  "openTime": "2021-04-27",
  "patchDescription": "Xiaomi Mi Jia ink-jet printer\u662f\u4e2d\u56fd\u5c0f\u7c73\u79d1\u6280\uff08Xiaomi\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u591a\u529f\u80fd\u6253\u5370\u673a\u3002\r\n\r\nXiaomi Mi Jia ink-jet printer 3.4.6_0138\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9Web\u7ba1\u7406\u540e\u53f0\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u53c2\u6570\u6ce8\u5165ippserver\uff0c\u8fdb\u800c\u6267\u884c\u547d\u4ee4\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": "Xiaomi Mi Jia ink-jet printer\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Xiaomi Mi Jia ink-jet printer \u003c3.4.6_0138"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-10561",
  "serverity": "\u9ad8",
  "submitTime": "2020-06-28",
  "title": "Xiaomi Mi Jia ink-jet printer\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2020-10561 (GCVE-0-2020-10561)

Vulnerability from cvelistv5 – Published: 2020-06-24 16:31 – Updated: 2024-08-04 11:06

Summary

An issue was discovered on Xiaomi Mi Jia ink-jet printer < 3.4.6_0138. Injecting parameters to ippserver through the web management background, resulting in command execution vulnerabilities.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://privacy.mi.com/trust#/security/vulnerabil…	x_refsource_CONFIRM

Date Public

2020-06-24 00:00

Show details on NVD website

JSON

To clipboard

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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.