Vulnerability-Lookup

CNVD-2017-31117

Vulnerability from cnvd - Published: 2017-10-23

Title

First Security Bank Sleepy Eye Mobile for iOS信息泄露漏洞

Description

First Security Bank Sleepy Eye Mobile for iOS是美国First Security Bank银行的一款基于iOS的手机银行应用程序。该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First Security Bank Sleepy Eye Mobile 3.0.0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。远程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

厂商尚未提供漏洞修复方案，请关注厂商主页更新： http://www.firstsecuritybanks.com/

Reference

https://medium.com/@chronic_9612/advisory-44-credit-union-apps-for-ios-may-allow-login-credential-exposure-4d2f380b85c5

Impacted products

Name
First Security Bank Sleepy Eye Mobile for iOS 3.0.0

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-9565"
    }
  },
  "description": "First Security Bank Sleepy Eye Mobile for iOS\u662f\u7f8e\u56fdFirst Security Bank\u94f6\u884c\u7684\u4e00\u6b3e\u57fa\u4e8eiOS\u7684\u624b\u673a\u94f6\u884c\u5e94\u7528\u7a0b\u5e8f\u3002\u8be5\u7a0b\u5e8f\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\u7684First Security Bank Sleepy Eye Mobile 3.0.0\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\u8fdc\u7a0b\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": "unknwon",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttp://www.firstsecuritybanks.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-31117",
  "openTime": "2017-10-23",
  "products": {
    "product": "First Security Bank Sleepy Eye Mobile for iOS 3.0.0"
  },
  "referenceLink": "https://medium.com/@chronic_9612/advisory-44-credit-union-apps-for-ios-may-allow-login-credential-exposure-4d2f380b85c5",
  "serverity": "\u4e2d",
  "submitTime": "2017-09-04",
  "title": "First Security Bank Sleepy Eye Mobile for iOS\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2017-9565 (GCVE-0-2017-9565)

Vulnerability from cvelistv5 – Published: 2017-06-16 12:00 – Updated: 2024-08-05 17:11

Summary

The first-security-bank-sleepy-eye-mobile/id870531890 app 3.0.0 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/advisory-44-cr…	x_refsource_MISC

Date Public

2017-06-16 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.