Vulnerability-Lookup

CNVD-2017-04764

Vulnerability from cnvd - Published: 2017-04-20

Title

Apple iOS iTunes Store组件沙盒篡改漏洞

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 Store是其中的一个以专属软件为界面的数字媒体网络商店组件。 Apple iOS 10.3之前的版本中的iTunes Store组件存在安全漏洞。攻击者可利用该漏洞篡改iTunes的网络流量。

Severity

中

Patch Name

Apple iOS iTunes Store组件沙盒篡改漏洞的补丁

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 Store是其中的一个以专属软件为界面的数字媒体网络商店组件。 Apple iOS 10.3之前的版本中的iTunes Store组件存在安全漏洞。攻击者可利用该漏洞篡改iTunes的网络流量。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://support.apple.com/zh-cn/HT207617

Reference

http://www.securityfocus.com/bid/97138 https://support.apple.com/zh-cn/HT207617

Impacted products

Name
Apple IOS <10.3

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "97138"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-2412"
    }
  },
  "description": "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 Store\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u4ee5\u4e13\u5c5e\u8f6f\u4ef6\u4e3a\u754c\u9762\u7684\u6570\u5b57\u5a92\u4f53\u7f51\u7edc\u5546\u5e97\u7ec4\u4ef6\u3002\r\n\r\nApple iOS 10.3\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684iTunes Store\u7ec4\u4ef6\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7be1\u6539iTunes\u7684\u7f51\u7edc\u6d41\u91cf\u3002",
  "discovererName": "Richard Shupak (linkedin.com/in/rshupak)",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://support.apple.com/zh-cn/HT207617",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-04764",
  "openTime": "2017-04-20",
  "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 Store\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u4ee5\u4e13\u5c5e\u8f6f\u4ef6\u4e3a\u754c\u9762\u7684\u6570\u5b57\u5a92\u4f53\u7f51\u7edc\u5546\u5e97\u7ec4\u4ef6\u3002\r\n\r\nApple iOS 10.3\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684iTunes Store\u7ec4\u4ef6\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7be1\u6539iTunes\u7684\u7f51\u7edc\u6d41\u91cf\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 Store\u7ec4\u4ef6\u6c99\u76d2\u7be1\u6539\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apple IOS \u003c10.3"
  },
  "referenceLink": "http://www.securityfocus.com/bid/97138\r\nhttps://support.apple.com/zh-cn/HT207617",
  "serverity": "\u4e2d",
  "submitTime": "2017-03-31",
  "title": "Apple iOS iTunes Store\u7ec4\u4ef6\u6c99\u76d2\u7be1\u6539\u6f0f\u6d1e"
}

CVE-2017-2412 (GCVE-0-2017-2412)

Vulnerability from cvelistv5 – Published: 2017-04-02 01:36 – Updated: 2024-08-05 13:55

Summary

An issue was discovered in certain Apple products. iOS before 10.3 is affected. The issue involves the "iTunes Store" component. It allows man-in-the-middle attackers to modify the client-server data stream to iTunes sandbox web services by leveraging use of cleartext HTTP.

Severity

No CVSS data available.

CWE

Assigner

apple mitre root

References

3 references

URL	Tags
http://www.securitytracker.com/id/1038139	vdb-entryx_refsource_SECTRACK
http://www.securityfocus.com/bid/97138	vdb-entryx_refsource_BID
https://support.apple.com/HT207617	x_refsource_CONFIRM

Date Public

2017-03-28 00:00

Show details on NVD website

JSON

To clipboard

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          },
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            "tags": [
              "x_refsource_CONFIRM",
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            "url": "https://support.apple.com/HT207617"
          }
        ],
        "title": "CVE Program Container"
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          "lang": "en",
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        }
      ],
      "problemTypes": [
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        "dateUpdated": "2017-07-11T09:57:01.000Z",
        "orgId": "286789f9-fbc2-4510-9f9a-43facdede74c",
        "shortName": "apple"
      },
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          "name": "1038139",
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            "vdb-entry",
            "x_refsource_SECTRACK"
          ],
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        },
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          ],
          "url": "https://support.apple.com/HT207617"
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      ],
      "x_legacyV4Record": {
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                            "version_value": "n/a"
                          }
                        ]
                      }
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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.