Vulnerability-Lookup

CNVD-2022-08158

Vulnerability from cnvd - Published: 2022-02-01

Title

ASUS VivoMini/Mini PC输入验证错误漏洞

Description

ASUS VivoMini/Mini PC是中国台湾华硕（ASUS）公司的一款超薄小型迷你电脑。 ASUS VivoMini/Mini PC存在输入验证错误漏洞，该漏洞源于具有系统权限的本地攻击者可以使用系统管理中断（SMI）来修改内存，攻击者可利用该漏洞执行任意代码来控制系统或中断服务。

Severity

高

Patch Name

ASUS VivoMini/Mini PC输入验证错误漏洞的补丁

Patch Description

ASUS VivoMini/Mini PC是中国台湾华硕（ASUS）公司的一款超薄小型迷你电脑。 ASUS VivoMini/Mini PC存在输入验证错误漏洞，该漏洞源于具有系统权限的本地攻击者可以使用系统管理中断（SMI）来修改内存，攻击者可利用该漏洞执行任意代码来控制系统或中断服务。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

厂商已发布了漏洞修复程序，请及时关注更新： https://www.asus.com/content/ASUS-Product-Security-Advisory/

Reference

https://www.twcert.org.tw/tw/cp-132-5547-34bc4-1.html

Impacted products

Name
ASUS VivoMini/Mini PC

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-21933",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-21933"
    }
  },
  "description": "ASUS VivoMini/Mini PC\u662f\u4e2d\u56fd\u53f0\u6e7e\u534e\u7855\uff08ASUS\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u8d85\u8584\u5c0f\u578b\u8ff7\u4f60\u7535\u8111\u3002\n\nASUS VivoMini/Mini PC\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5177\u6709\u7cfb\u7edf\u6743\u9650\u7684\u672c\u5730\u653b\u51fb\u8005\u53ef\u4ee5\u4f7f\u7528\u7cfb\u7edf\u7ba1\u7406\u4e2d\u65ad\uff08SMI\uff09\u6765\u4fee\u6539\u5185\u5b58\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6765\u63a7\u5236\u7cfb\u7edf\u6216\u4e2d\u65ad\u670d\u52a1\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www.asus.com/content/ASUS-Product-Security-Advisory/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-08158",
  "openTime": "2022-02-01",
  "patchDescription": "ASUS VivoMini/Mini PC\u662f\u4e2d\u56fd\u53f0\u6e7e\u534e\u7855\uff08ASUS\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u8d85\u8584\u5c0f\u578b\u8ff7\u4f60\u7535\u8111\u3002\r\n\r\nASUS VivoMini/Mini PC\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5177\u6709\u7cfb\u7edf\u6743\u9650\u7684\u672c\u5730\u653b\u51fb\u8005\u53ef\u4ee5\u4f7f\u7528\u7cfb\u7edf\u7ba1\u7406\u4e2d\u65ad\uff08SMI\uff09\u6765\u4fee\u6539\u5185\u5b58\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6765\u63a7\u5236\u7cfb\u7edf\u6216\u4e2d\u65ad\u670d\u52a1\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": "ASUS VivoMini/Mini PC\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "ASUS VivoMini/Mini PC"
  },
  "referenceLink": "https://www.twcert.org.tw/tw/cp-132-5547-34bc4-1.html",
  "serverity": "\u9ad8",
  "submitTime": "2022-01-25",
  "title": "ASUS VivoMini/Mini PC\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2022-21933 (GCVE-0-2022-21933)

Vulnerability from cvelistv5 – Published: 2022-01-21 09:05 – Updated: 2024-09-16 20:06

Title

ASUS VivoMini/Mini PC - improper input validation

Summary

ASUS VivoMini/Mini PC device has an improper input validation vulnerability. A local attacker with system privilege can use system management interrupt (SMI) to modify memory, resulting in arbitrary code execution for controlling the system or disrupting service.

Severity

6.7 (Medium)


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

CWE

CWE-20 - Improper Input Validation

Assigner

twcert mitre root

References

1 reference

URL	Tags
https://www.twcert.org.tw/tw/cp-132-5547-34bc4-1.html	x_refsource_MISC

Impacted products

13 products

Vendor	Product	Version
ASUS	VC65-C1	Affected: unspecified , < 1302 (custom)
ASUS	PB60V	Affected: unspecified , < 1302 (custom)
ASUS	PB60G	Affected: unspecified , < 1302 (custom)
ASUS	PB60S	Affected: unspecified , < 1302 (custom)
ASUS	PA90	Affected: unspecified , < 1401 (custom)
ASUS	PB50	Affected: unspecified , < 902 (custom)
ASUS	PB60	Affected: unspecified , < 1502 (custom)
ASUS	PB61V	Affected: unspecified , < 601 (custom)
ASUS	TS10	Affected: unspecified , < 609 (custom)
ASUS	PN40	Affected: unspecified , < 2201 (custom)
ASUS	PN60	Affected: unspecified , < 808 (custom)
ASUS	PN30	Affected: unspecified , < 320 (custom)
ASUS	UN65U	Affected: unspecified , < 618 (custom)

Date Public

2022-01-21 00:00

Show details on NVD website

JSON

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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.