Vulnerability-Lookup

CNVD-2022-56486

Vulnerability from cnvd - Published: 2022-08-12

Title

Samsung Wear Os StTheaterModeReceiver访问控制错误漏洞

Description

Samsung Wear Os是韩国三星（Samsung）公司的一个Android操作系统的版本。专为智能手表等可穿戴式电脑设备所设计。 Samsung Wear OS 3.0之前的版本存在访问控制错误漏洞。该漏洞源于存在漏洞的组件没有进行保护措施，攻击者可利用该漏洞在未经适当许可的情况下更改就寝模式。

Severity

中

Patch Name

Samsung Wear Os StTheaterModeReceiver访问控制错误漏洞的补丁

Patch Description

Samsung Wear Os是韩国三星（Samsung）公司的一个Android操作系统的版本。专为智能手表等可穿戴式电脑设备所设计。 Samsung Wear OS 3.0之前的版本存在访问控制错误漏洞。该漏洞源于存在漏洞的组件没有进行保护措施，攻击者可利用该漏洞在未经适当许可的情况下更改就寝模式。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://security.samsungmobile.com/securityUpdate.smsb?year=2022&month=2

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-23995

Impacted products

Name
Samsung Wear Os <3.0

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-23995",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-23995"
    }
  },
  "description": "Samsung Wear Os\u662f\u97e9\u56fd\u4e09\u661f\uff08Samsung\uff09\u516c\u53f8\u7684\u4e00\u4e2aAndroid\u64cd\u4f5c\u7cfb\u7edf\u7684\u7248\u672c\u3002\u4e13\u4e3a\u667a\u80fd\u624b\u8868\u7b49\u53ef\u7a7f\u6234\u5f0f\u7535\u8111\u8bbe\u5907\u6240\u8bbe\u8ba1\u3002\n\nSamsung Wear OS 3.0\u4e4b\u524d\u7684\u7248\u672c\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5b58\u5728\u6f0f\u6d1e\u7684\u7ec4\u4ef6\u6ca1\u6709\u8fdb\u884c\u4fdd\u62a4\u63aa\u65bd\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u672a\u7ecf\u9002\u5f53\u8bb8\u53ef\u7684\u60c5\u51b5\u4e0b\u66f4\u6539\u5c31\u5bdd\u6a21\u5f0f\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-56486",
  "openTime": "2022-08-12",
  "patchDescription": "Samsung Wear Os\u662f\u97e9\u56fd\u4e09\u661f\uff08Samsung\uff09\u516c\u53f8\u7684\u4e00\u4e2aAndroid\u64cd\u4f5c\u7cfb\u7edf\u7684\u7248\u672c\u3002\u4e13\u4e3a\u667a\u80fd\u624b\u8868\u7b49\u53ef\u7a7f\u6234\u5f0f\u7535\u8111\u8bbe\u5907\u6240\u8bbe\u8ba1\u3002\r\n\r\nSamsung Wear OS 3.0\u4e4b\u524d\u7684\u7248\u672c\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5b58\u5728\u6f0f\u6d1e\u7684\u7ec4\u4ef6\u6ca1\u6709\u8fdb\u884c\u4fdd\u62a4\u63aa\u65bd\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u672a\u7ecf\u9002\u5f53\u8bb8\u53ef\u7684\u60c5\u51b5\u4e0b\u66f4\u6539\u5c31\u5bdd\u6a21\u5f0f\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": "Samsung Wear Os StTheaterModeReceiver\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Samsung Wear Os \u003c3.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-23995",
  "serverity": "\u4e2d",
  "submitTime": "2022-02-15",
  "title": "Samsung Wear Os StTheaterModeReceiver\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2022-23995 (GCVE-0-2022-23995)

Vulnerability from cvelistv5 – Published: 2022-02-11 17:40 – Updated: 2024-08-03 03:59

Summary

Unprotected component vulnerability in StBedtimeModeAlarmReceiver in Wear OS 3.0 prior to Firmware update Feb-2022 Release allows untrusted applications to change bedtime mode without a proper permission.

Severity

4 (Medium)


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

CWE

CWE-284 - Improper Access Control

Assigner

Samsung Mobile

References

1 reference

URL	Tags
https://security.samsungmobile.com/securityUpdate…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Samsung Mobile	Samsung Wearable Devices	Affected: Wear OS 3.0 , < Firmware update Feb-2022 Release (custom)

Show details on NVD website

JSON

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{
  "containers": {
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      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T03:59:23.330Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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            "url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2022\u0026month=2"
          }
        ],
        "title": "CVE Program Container"
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          "versions": [
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            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
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                      "product_name": "Samsung Wearable Devices",
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                            "version_affected": "\u003c",
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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.