Vulnerability-Lookup

CNVD-2022-70757

Vulnerability from cnvd - Published: 2022-10-24

Title

Samsung Bixby Touch访问控制错误漏洞

Description

Samsung Bixby Touch是三星（Samsung）移动设备的一款虚拟智能助手。 Samsung Bixby Touch存在访问控制错误漏洞，该漏洞源于BixbyTouch中未正确限制来自未授权角色的资源访问。攻击者可利用该漏洞允许未受信任的应用程序在webview中加载任意URL和本地文件。

Severity

低

Patch Name

Samsung Bixby Touch访问控制错误漏洞的补丁

Patch Description

Samsung Bixby Touch是三星（Samsung）移动设备的一款虚拟智能助手。 Samsung Bixby Touch存在访问控制错误漏洞，该漏洞源于BixbyTouch中未正确限制来自未授权角色的资源访问。攻击者可利用该漏洞允许不受信任的应用程序在webview中加载任意URL和本地文件。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/serviceWeb.smsb?year=2022&month=3

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-25824

Impacted products

Name
Samsung Bixby Touch <2.2.00.6

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-25824",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-25824"
    }
  },
  "description": "Samsung Bixby Touch\u662f\u4e09\u661f\uff08Samsung\uff09\u79fb\u52a8\u8bbe\u5907\u7684\u4e00\u6b3e\u865a\u62df\u667a\u80fd\u52a9\u624b\u3002\n\nSamsung Bixby Touch\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eBixbyTouch\u4e2d\u672a\u6b63\u786e\u9650\u5236\u6765\u81ea\u672a\u6388\u6743\u89d2\u8272\u7684\u8d44\u6e90\u8bbf\u95ee\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5141\u8bb8\u672a\u53d7\u4fe1\u4efb\u7684\u5e94\u7528\u7a0b\u5e8f\u5728webview\u4e2d\u52a0\u8f7d\u4efb\u610fURL\u548c\u672c\u5730\u6587\u4ef6\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://security.samsungmobile.com/serviceWeb.smsb?year=2022\u0026month=3",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-70757",
  "openTime": "2022-10-24",
  "patchDescription": "Samsung Bixby Touch\u662f\u4e09\u661f\uff08Samsung\uff09\u79fb\u52a8\u8bbe\u5907\u7684\u4e00\u6b3e\u865a\u62df\u667a\u80fd\u52a9\u624b\u3002\r\n\r\nSamsung Bixby Touch\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eBixbyTouch\u4e2d\u672a\u6b63\u786e\u9650\u5236\u6765\u81ea\u672a\u6388\u6743\u89d2\u8272\u7684\u8d44\u6e90\u8bbf\u95ee\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5141\u8bb8\u4e0d\u53d7\u4fe1\u4efb\u7684\u5e94\u7528\u7a0b\u5e8f\u5728webview\u4e2d\u52a0\u8f7d\u4efb\u610fURL\u548c\u672c\u5730\u6587\u4ef6\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 Bixby Touch\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Samsung Bixby Touch \u003c2.2.00.6"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-25824",
  "serverity": "\u4f4e",
  "submitTime": "2022-03-14",
  "title": "Samsung Bixby Touch\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2022-25824 (GCVE-0-2022-25824)

Vulnerability from cvelistv5 – Published: 2022-03-08 13:47 – Updated: 2024-08-03 04:49

Summary

Improper access control vulnerability in BixbyTouch prior to version 2.2.00.6 in China models allows untrusted applications to load arbitrary URL and local files in webview.

Severity

4 (Medium)


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

CWE

CWE-284 - Improper Access Control

Assigner

Samsung Mobile

References

1 reference

URL	Tags
https://security.samsungmobile.com/serviceWeb.sms…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Samsung Mobile	BixbyTouch	Affected: - , < 2.2.00.6 (custom)

Show details on NVD website

JSON

To clipboard

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        "providerMetadata": {
          "dateUpdated": "2024-08-03T04:49:43.776Z",
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              "x_transferred"
            ],
            "url": "https://security.samsungmobile.com/serviceWeb.smsb?year=2022\u0026month=3"
          }
        ],
        "title": "CVE Program Container"
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          "product": "BixbyTouch",
          "vendor": "Samsung Mobile",
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      ],
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            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
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        "orgId": "3af57064-a867-422c-b2ad-40307b65c458",
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      },
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                      "version": {
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                            "version_name": "-",
                            "version_value": "2.2.00.6"
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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.