Vulnerability-Lookup

CNVD-2020-45113

Vulnerability from cnvd - Published: 2020-08-09

Title

Claws Mail栈消耗漏洞

Description

Claws Mail是一款基于GTK+语言编写的开源电子邮件客户端和新闻聚合器。 Claws Mail 3.17.6及之前版本中的imap_scan_tree_recursive存在安全漏洞。攻击者可借助恶意的IMAP服务器利用该漏洞造成Claws Mail崩溃（栈大量消耗）。

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://www.claws-mail.org/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-16094

Impacted products

Name
Claws Mail Claws Mail <=3.17.6

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-16094",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-16094"
    }
  },
  "description": "Claws Mail\u662f\u4e00\u6b3e\u57fa\u4e8eGTK+\u8bed\u8a00\u7f16\u5199\u7684\u5f00\u6e90\u7535\u5b50\u90ae\u4ef6\u5ba2\u6237\u7aef\u548c\u65b0\u95fb\u805a\u5408\u5668\u3002\n\nClaws Mail 3.17.6\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u7684imap_scan_tree_recursive\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u6076\u610f\u7684IMAP\u670d\u52a1\u5668\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210Claws Mail\u5d29\u6e83\uff08\u6808\u5927\u91cf\u6d88\u8017\uff09\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://www.claws-mail.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-45113",
  "openTime": "2020-08-09",
  "products": {
    "product": "Claws Mail Claws Mail \u003c=3.17.6"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-16094",
  "serverity": "\u4e2d",
  "submitTime": "2020-07-29",
  "title": "Claws Mail\u6808\u6d88\u8017\u6f0f\u6d1e"
}

CVE-2020-16094 (GCVE-0-2020-16094)

Vulnerability from cvelistv5 – Published: 2020-07-28 18:34 – Updated: 2024-08-04 13:37

Summary

In imap_scan_tree_recursive in Claws Mail through 3.17.6, a malicious IMAP server can trigger stack consumption because of unlimited recursion into subdirectories during a rebuild of the folder tree.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

4 references

URL	Tags
https://www.thewildbeast.co.uk/claws-mail/bugzill…	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
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.