Vulnerability-Lookup

CNVD-2017-07342

Vulnerability from cnvd - Published: 2017-05-24

Title

America's First Federal Credit Union Mobile Banking app for iOS安全绕过漏洞

Description

America's First Federal Credit Union Mobile Banking app for iOS是美国America's First Federal Credit Union(FCU)银行的用于iOS的一款移动应用程序，具有快速访问管理银行帐户、管理余额、支付账单和汇款等功能。基于iOS平台的America'sFCUMobileBankingapp3.1.0版本中存在安全绕过漏洞，该漏洞源于程序未能验证SSL服务器端的X.509证书。攻击者可利用该漏洞借助特制的证书实施中间人攻击，冒充可信的服务器，获取敏感信息。

Severity

中

Patch Name

America's First Federal Credit Union Mobile Banking app for iOS安全绕过漏洞的补丁

Patch Description

Formal description

用户可参考如下厂商提供的安全补丁以修复该漏洞： https://www.amfirst.org/

Reference

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

Impacted products

Name
America's First Federal Credit Union (FCU) Mobile Banking app for iOS 3.1.0

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2017-5916"
    }
  },
  "description": "America\u0027s First Federal Credit Union Mobile Banking app for iOS\u662f\u7f8e\u56fdAmerica\u0027s First Federal Credit Union(FCU)\u94f6\u884c\u7684\u7528\u4e8eiOS\u7684\u4e00\u6b3e\u79fb\u52a8\u5e94\u7528\u7a0b\u5e8f\uff0c\u5177\u6709\u5feb\u901f\u8bbf\u95ee\u7ba1\u7406\u94f6\u884c\u5e10\u6237\u3001\u7ba1\u7406\u4f59\u989d\u3001\u652f\u4ed8\u8d26\u5355\u548c\u6c47\u6b3e\u7b49\u529f\u80fd\u3002\r\n\r\n\u57fa\u4e8eiOS\u5e73\u53f0\u7684America\u0026#039;sFCUMobileBankingapp3.1.0\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\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\u5229\u7528\u8be5\u6f0f\u6d1e\u501f\u52a9\u7279\u5236\u7684\u8bc1\u4e66\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": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://www.amfirst.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-07342",
  "openTime": "2017-05-24",
  "patchDescription": "America\u0027s First Federal Credit Union Mobile Banking app for iOS\u662f\u7f8e\u56fdAmerica\u0027s First Federal Credit Union(FCU)\u94f6\u884c\u7684\u7528\u4e8eiOS\u7684\u4e00\u6b3e\u79fb\u52a8\u5e94\u7528\u7a0b\u5e8f\uff0c\u5177\u6709\u5feb\u901f\u8bbf\u95ee\u7ba1\u7406\u94f6\u884c\u5e10\u6237\u3001\u7ba1\u7406\u4f59\u989d\u3001\u652f\u4ed8\u8d26\u5355\u548c\u6c47\u6b3e\u7b49\u529f\u80fd\u3002\r\n\r\n\u57fa\u4e8eiOS\u5e73\u53f0\u7684America\u0026#039;sFCUMobileBankingapp3.1.0\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\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\u5229\u7528\u8be5\u6f0f\u6d1e\u501f\u52a9\u7279\u5236\u7684\u8bc1\u4e66\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\uff0c\u5192\u5145\u53ef\u4fe1\u7684\u670d\u52a1\u5668\uff0c\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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": "America\u0027s First Federal Credit Union Mobile Banking app for iOS\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "America\u0027s First Federal Credit Union (FCU) Mobile Banking app for iOS 3.1.0"
  },
  "referenceLink": "https://medium.com/@chronic_9612/follow-up-76-popular-apps-confirmed-vulnerable-to-silent-interception-of-tls-protected-data-64185035029f",
  "serverity": "\u4e2d",
  "submitTime": "2017-05-11",
  "title": "America\u0027s First Federal Credit Union Mobile Banking app for iOS\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e"
}

CVE-2017-5916 (GCVE-0-2017-5916)

Vulnerability from cvelistv5 – Published: 2017-05-05 07:04 – Updated: 2024-08-05 15:11

Summary

The America's First Federal Credit Union (FCU) Mobile Banking app 3.1.0 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

Date Public

2017-05-05 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.