Vulnerability-Lookup

CNVD-2021-35520

Vulnerability from cnvd - Published: 2021-05-19

Title

UnionPay数据伪造问题漏洞

Description

UnionPay是中国银联（UnionPay）公司的一个应用系统。 UnionPay for android 3.4.93.4.9之前版本存在数据伪造问题漏洞，该漏洞源于未正确验证加密签名，攻击者可利用该漏洞通过一个基于空密钥生成的认证代码(MAC)，在商家网站和移动应用程序上免费购物。

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.unionpayintl.com/en/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-36284

Impacted products

Name
中国银联 UnionPay for android <3.4.93.4.9

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-36284"
    }
  },
  "description": "UnionPay\u662f\u4e2d\u56fd\u94f6\u8054\uff08UnionPay\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5e94\u7528\u7cfb\u7edf\u3002\n\nUnionPay for android 3.4.93.4.9\u4e4b\u524d\u7248\u672c\u5b58\u5728\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u6b63\u786e\u9a8c\u8bc1\u52a0\u5bc6\u7b7e\u540d\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u4e00\u4e2a\u57fa\u4e8e\u7a7a\u5bc6\u94a5\u751f\u6210\u7684\u8ba4\u8bc1\u4ee3\u7801(MAC)\uff0c\u5728\u5546\u5bb6\u7f51\u7ad9\u548c\u79fb\u52a8\u5e94\u7528\u7a0b\u5e8f\u4e0a\u514d\u8d39\u8d2d\u7269\u3002",
  "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.unionpayintl.com/en/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-35520",
  "openTime": "2021-05-19",
  "products": {
    "product": "\u4e2d\u56fd\u94f6\u8054 UnionPay for android \u003c3.4.93.4.9"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-36284",
  "serverity": "\u4e2d",
  "submitTime": "2021-04-08",
  "title": "UnionPay\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2020-36284 (GCVE-0-2020-36284)

Vulnerability from cvelistv5 – Published: 2021-04-06 15:36 – Updated: 2024-08-04 17:23

Summary

Union Pay up to 3.4.93.4.9, for android, contains a CWE-347: Improper Verification of Cryptographic Signature vulnerability, allows attackers to shop for free in merchants' websites and mobile apps, via a crafted authentication code (MAC) which is generated based on a secret key which is NULL.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://www.dropbox.com/s/6smwnbrp0kgsgrc/poc_cod…	x_refsource_MISC
https://www.dropbox.com/s/czbkdr73tclq2nr/UnionPa…	x_refsource_MISC
http://mobitec.ie.cuhk.edu.hk/cve_2020/	x_refsource_MISC

Date Public

2021-04-03 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.