Vulnerability-Lookup

CNVD-2020-35480

Vulnerability from cnvd - Published: 2020-07-01

Title

perl-Convert-ASN1拒绝服务漏洞

Description

Perl是Perl社区的一款通用、解释型、动态的跨平台编程语言。 perl-Convert-ASN1 0.27及之前版本中存在安全漏洞，该漏洞源于程序对用户的输入进行了不安全的解码。远程攻击者可借助特制的输入利用该漏洞导致无限循环。

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： https://github.com/gbarr/perl-Convert-ASN1

Reference

https://github.com/gbarr/perl-Convert-ASN1/issues/14

Impacted products

Name
Perl perl-Convert-ASN1 <=0.27

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2013-7488"
    }
  },
  "description": "Perl\u662fPerl\u793e\u533a\u7684\u4e00\u6b3e\u901a\u7528\u3001\u89e3\u91ca\u578b\u3001\u52a8\u6001\u7684\u8de8\u5e73\u53f0\u7f16\u7a0b\u8bed\u8a00\u3002\n\nperl-Convert-ASN1 0.27\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u5bf9\u7528\u6237\u7684\u8f93\u5165\u8fdb\u884c\u4e86\u4e0d\u5b89\u5168\u7684\u89e3\u7801\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684\u8f93\u5165\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u65e0\u9650\u5faa\u73af\u3002",
  "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\nhttps://github.com/gbarr/perl-Convert-ASN1",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-35480",
  "openTime": "2020-07-01",
  "products": {
    "product": "Perl perl-Convert-ASN1 \u003c=0.27"
  },
  "referenceLink": "https://github.com/gbarr/perl-Convert-ASN1/issues/14",
  "serverity": "\u4e2d",
  "submitTime": "2020-04-08",
  "title": "perl-Convert-ASN1\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2013-7488 (GCVE-0-2013-7488)

Vulnerability from cvelistv5 – Published: 2020-04-07 17:35 – Updated: 2024-08-06 18:09

Summary

perl-Convert-ASN1 (aka the Convert::ASN1 module for Perl) through 0.27 allows remote attackers to cause an infinite loop via unexpected input.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://github.com/gbarr/perl-Convert-ASN1/issues/14	x_refsource_MISC
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA

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.