Vulnerability-Lookup

CNVD-2017-07331

Vulnerability from cnvd - Published: 2017-05-24

Title

YottaMark ShopWell - Healthy Diet and Grocery Food Scanner app for iOS身份验证漏洞

Description

YottaMark ShopWell - Healthy Diet and Grocery Food Scanner app for iOS是美国YottaMark ShopWell公司的一款健康饮食管理软件。该软件通过扫描食品的条形码为用户提供食品的成分信息。基于iOS平台的YottaMark ShopWell - Healthy Diet and Grocery Food Scanner app 5.3.7版本至5.4.2版本中存在安全漏洞，该漏洞源于程序未能验证SSL服务器端的X.509证书。攻击者可借助特制的证书利用该漏洞实施中间人攻击，冒充可信的服务器，获取敏感信息。

Severity

中

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法： http://www.shopwell.com/

Reference

https://medium.com/@chronic_9612/follow-up-76-popular-apps-confirmed-vulnerable-to-silent-interception-of-tls-protected-data-64185035029f

Impacted products

Name
YottaMark ShopWell Healthy Diet and Grocery Food Scanner app for iOS >=5.3.7

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-8942"
    }
  },
  "description": "YottaMark ShopWell - Healthy Diet and Grocery Food Scanner app for iOS\u662f\u7f8e\u56fdYottaMark ShopWell\u516c\u53f8\u7684\u4e00\u6b3e\u5065\u5eb7\u996e\u98df\u7ba1\u7406\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u901a\u8fc7\u626b\u63cf\u98df\u54c1\u7684\u6761\u5f62\u7801\u4e3a\u7528\u6237\u63d0\u4f9b\u98df\u54c1\u7684\u6210\u5206\u4fe1\u606f\u3002\r\n\r\n\u57fa\u4e8eiOS\u5e73\u53f0\u7684YottaMark ShopWell - Healthy Diet and Grocery Food Scanner app 5.3.7\u7248\u672c\u81f35.4.2\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u9a8c\u8bc1SSL\u670d\u52a1\u5668\u7aef\u7684X.509\u8bc1\u4e66\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684\u8bc1\u4e66\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\uff0c\u5192\u5145\u53ef\u4fe1\u7684\u670d\u52a1\u5668\uff0c\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "Unknown",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttp://www.shopwell.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-07331",
  "openTime": "2017-05-24",
  "products": {
    "product": "YottaMark ShopWell Healthy Diet and Grocery Food Scanner app for iOS \u003e=5.3.7"
  },
  "referenceLink": "https://medium.com/@chronic_9612/follow-up-76-popular-apps-confirmed-vulnerable-to-silent-interception-of-tls-protected-data-64185035029f",
  "serverity": "\u4e2d",
  "submitTime": "2017-05-19",
  "title": "YottaMark ShopWell - Healthy Diet and Grocery Food Scanner app for iOS\u8eab\u4efd\u9a8c\u8bc1\u6f0f\u6d1e"
}

CVE-2017-8942 (GCVE-0-2017-8942)

Vulnerability from cvelistv5 – Published: 2017-05-15 18:00 – Updated: 2024-09-17 02:27

Summary

The YottaMark ShopWell - Healthy Diet & Grocery Food Scanner app 5.3.7 through 5.4.2 for iOS does not verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to spoof servers and obtain sensitive information via a crafted certificate.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://medium.com/%40chronic_9612/follow-up-76-p…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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      },
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        {
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            "x_refsource_MISC"
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          "url": "https://medium.com/%40chronic_9612/follow-up-76-popular-apps-confirmed-vulnerable-to-silent-interception-of-tls-protected-data-64185035029f"
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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.