Vulnerability-Lookup

CNVD-2021-31232

Vulnerability from cnvd - Published: 2021-04-27

Title

Python-RSA加密问题漏洞

Description

Python-RSA是荷兰SYBREN A.STVEL软件开发者的一款支持加密和解密、签名、验证签名以及密钥生成的Python库。 Python-RSA 4.1之前版本中存在加密问题漏洞，攻击者可利用该漏洞推断应用程序是否使用Python-RSA，所接受的密文的长度是否影响应用程序运行或造成其他危害。

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： https://github.com/sybrenstuvel/python-rsa/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-13757

Impacted products

Name
SYBREN A.STVEL Python-RSA <4.1

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-13757"
    }
  },
  "description": "Python-RSA\u662f\u8377\u5170SYBREN A.STVEL\u8f6f\u4ef6\u5f00\u53d1\u8005\u7684\u4e00\u6b3e\u652f\u6301\u52a0\u5bc6\u548c\u89e3\u5bc6\u3001\u7b7e\u540d\u3001\u9a8c\u8bc1\u7b7e\u540d\u4ee5\u53ca\u5bc6\u94a5\u751f\u6210\u7684Python\u5e93\u3002\n\nPython-RSA 4.1\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63a8\u65ad\u5e94\u7528\u7a0b\u5e8f\u662f\u5426\u4f7f\u7528Python-RSA\uff0c\u6240\u63a5\u53d7\u7684\u5bc6\u6587\u7684\u957f\u5ea6\u662f\u5426\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\u8fd0\u884c\u6216\u9020\u6210\u5176\u4ed6\u5371\u5bb3\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\nhttps://github.com/sybrenstuvel/python-rsa/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-31232",
  "openTime": "2021-04-27",
  "products": {
    "product": "SYBREN A.STVEL Python-RSA \u003c4.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-13757",
  "serverity": "\u4e2d",
  "submitTime": "2020-06-02",
  "title": "Python-RSA\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2020-13757 (GCVE-0-2020-13757)

Vulnerability from cvelistv5 – Published: 2020-06-01 18:17 – Updated: 2024-08-04 12:25

Summary

Python-RSA before 4.1 ignores leading '\0' bytes during decryption of ciphertext. This could conceivably have a security-relevant impact, e.g., by helping an attacker to infer that an application uses Python-RSA, or if the length of accepted ciphertext affects application behavior (such as by causing excessive memory allocation).

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root Scorecard

References

5 references

URL	Tags
https://github.com/sybrenstuvel/python-rsa/issues/146	x_refsource_MISC
https://github.com/sybrenstuvel/python-rsa/issues…	x_refsource_CONFIRM
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://usn.ubuntu.com/4478-1/	vendor-advisoryx_refsource_UBUNTU

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.

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.

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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.

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CNVD-2021-31232

CVE-2020-13757 (GCVE-0-2020-13757)

Tags

Sightings

Nomenclature

Related by attack behaviour