Vulnerability-Lookup

CNVD-2016-11585

Vulnerability from cnvd - Published: 2016-11-29

Title

Apple iOS iTunes Backup未授权访问漏洞

Description

Apple iOS是美国苹果（Apple）公司为移动设备所开发的一套操作系统。iTunes Backup是其中的一个用于备份iTunes的组件。 Apple iOS 10.1之前的版本中的iTunes Backup存在未授权访问漏洞。攻击者可利用该漏洞获取未授权信息的访问权限。

Severity

中

Patch Name

Apple iOS iTunes Backup未授权访问漏洞的补丁

Patch Description

Apple iOS是美国苹果（Apple）公司为移动设备所开发的一套操作系统。iTunes Backup是其中的一个用于备份iTunes的组件。 Apple iOS 10.1之前的版本中的iTunes Backup存在未授权访问漏洞。攻击者可利用该漏洞获取未授权信息的访问权限。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

目前厂商已经发布了升级补丁以修复此安全问题，补丁获取链接： https://support.apple.com/en-in/HT207271

Reference

http://www.securityfocus.com/bid/94432

Impacted products

Name
Apple IOS <10.1

Show details on source website

JSON

To clipboard

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      "bidNumber": "94432"
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    "cve": {
      "cveNumber": "CVE-2016-4685"
    }
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  "discovererName": "Elcomsoft and an anonymous researcher",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-11585",
  "openTime": "2016-11-29",
  "patchDescription": "Apple iOS\u662f\u7f8e\u56fd\u82f9\u679c\uff08Apple\uff09\u516c\u53f8\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u4e00\u5957\u64cd\u4f5c\u7cfb\u7edf\u3002iTunes Backup\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u7528\u4e8e\u5907\u4efdiTunes\u7684\u7ec4\u4ef6\u3002\r\n\r\nApple iOS 10.1\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684iTunes Backup\u5b58\u5728\u672a\u6388\u6743\u8bbf\u95ee\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u672a\u6388\u6743\u4fe1\u606f\u7684\u8bbf\u95ee\u6743\u9650\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": "Apple iOS iTunes Backup\u672a\u6388\u6743\u8bbf\u95ee\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apple IOS \u003c10.1"
  },
  "referenceLink": "http://www.securityfocus.com/bid/94432",
  "serverity": "\u4e2d",
  "submitTime": "2016-11-24",
  "title": "Apple iOS iTunes Backup\u672a\u6388\u6743\u8bbf\u95ee\u6f0f\u6d1e"
}

CVE-2016-4685 (GCVE-0-2016-4685)

Vulnerability from cvelistv5 – Published: 2017-02-20 08:35 – Updated: 2024-08-06 00:39

Summary

An issue was discovered in certain Apple products. iOS before 10.1 is affected. The issue involves the "iTunes Backup" component, which improperly hashes passwords, making it easier to decrypt files.

Severity

No CVSS data available.

CWE

Assigner

apple mitre root

References

2 references

URL	Tags
https://support.apple.com/HT207271	x_refsource_CONFIRM
http://www.securityfocus.com/bid/94432	vdb-entryx_refsource_BID

Date Public

2017-02-13 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.