Vulnerability-Lookup

CNVD-2021-28780

Vulnerability from cnvd - Published: 2021-04-16

Title

Samsung Bixby Voice存在未明漏洞

Description

Samsung Bixby Voice是韩国Samsung公司的一个应用软件。提供一个语音识别功能。 Bixby Voice存在安全漏洞，该漏洞允许攻击者通过劫持和修改意图来执行特权操作。目前没有详细的漏洞细节提供。

Severity

中

Patch Name

Samsung Bixby Voice存在未明漏洞的补丁

Patch Description

Samsung Bixby Voice是韩国Samsung公司的一个应用软件。提供一个语音识别功能。 Bixby Voice prior to version 3.0.52存在安全漏洞，该漏洞允许攻击者通过劫持和修改意图来执行特权操作。目前没有详细的漏洞细节提供。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://security.samsungmobile.com/serviceWeb.smsb

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-25352

Impacted products

Name
Samsung Bixby Voice <3.0.52.14

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-25352",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-25352"
    }
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  "description": "Samsung Bixby Voice\u662f\u97e9\u56fdSamsung\u516c\u53f8\u7684\u4e00\u4e2a\u5e94\u7528\u8f6f\u4ef6\u3002\u63d0\u4f9b\u4e00\u4e2a\u8bed\u97f3\u8bc6\u522b\u529f\u80fd\u3002\n\nBixby Voice\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u5141\u8bb8\u653b\u51fb\u8005\u901a\u8fc7\u52ab\u6301\u548c\u4fee\u6539\u610f\u56fe\u6765\u6267\u884c\u7279\u6743\u64cd\u4f5c\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-28780",
  "openTime": "2021-04-16",
  "patchDescription": "Samsung Bixby Voice\u662f\u97e9\u56fdSamsung\u516c\u53f8\u7684\u4e00\u4e2a\u5e94\u7528\u8f6f\u4ef6\u3002\u63d0\u4f9b\u4e00\u4e2a\u8bed\u97f3\u8bc6\u522b\u529f\u80fd\u3002\r\n\r\nBixby Voice prior to version 3.0.52\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u5141\u8bb8\u653b\u51fb\u8005\u901a\u8fc7\u52ab\u6301\u548c\u4fee\u6539\u610f\u56fe\u6765\u6267\u884c\u7279\u6743\u64cd\u4f5c\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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 Voice\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Samsung Bixby Voice \u003c3.0.52.14"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-25352",
  "serverity": "\u4e2d",
  "submitTime": "2021-04-01",
  "title": "Samsung Bixby Voice\u5b58\u5728\u672a\u660e\u6f0f\u6d1e"
}

CVE-2021-25352 (GCVE-0-2021-25352)

Vulnerability from cvelistv5 – Published: 2021-03-25 16:11 – Updated: 2024-08-03 20:03

Summary

Using PendingIntent with implicit intent in Bixby Voice prior to version 3.0.52.14 allows attackers to execute privileged action by hijacking and modifying the intent.

Severity

5.5 (Medium)


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

CWE

CWE-285 - Improper Authorization

Assigner

Samsung Mobile

References

2 references

URL	Tags
https://security.samsungmobile.com/	x_refsource_MISC
https://security.samsungmobile.com/serviceWeb.smsb	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Samsung Mobile	Bixby Voice	Affected: unspecified , < 3.0.52.14 (custom)

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.