GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2022-06498

Vulnerability from cnvd - Published: 2022-01-25
VLAI
Title
PatrOwl代码问题漏洞
Description
PatrOwl是一种用于编排安全操作的可扩展、免费和开源解决方案。 PatrOwl存在代码问题漏洞,该漏洞允许将危险类型的文件上传到服务器,攻击者可利用该漏洞导致XSS攻击和潜在的其他形式的代码注入。
Severity
Patch Name
PatrOwl代码问题漏洞的补丁
Patch Description
PatrOwl是一种用于编排安全操作的可扩展、免费和开源解决方案。 PatrOwl存在代码问题漏洞,该漏洞允许将危险类型的文件上传到服务器,攻击者可利用该漏洞导致XSS攻击和潜在的其他形式的代码注入。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

厂商已发布了漏洞修复程序,请及时关注更新: https://github.com/Patrowl/PatrowlManager/security/advisories/GHSA-5hc9-6hq4-2xfx

Reference
https://github.com/Patrowl/PatrowlManager/security/advisories/GHSA-5hc9-6hq4-2xfx
Impacted products
Name
PatrOwl PatrOwl <1.7.7
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-43829"
    }
  },
  "description": "PatrOwl\u662f\u4e00\u79cd\u7528\u4e8e\u7f16\u6392\u5b89\u5168\u64cd\u4f5c\u7684\u53ef\u6269\u5c55\u3001\u514d\u8d39\u548c\u5f00\u6e90\u89e3\u51b3\u65b9\u6848\u3002\n\nPatrOwl\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u5141\u8bb8\u5c06\u5371\u9669\u7c7b\u578b\u7684\u6587\u4ef6\u4e0a\u4f20\u5230\u670d\u52a1\u5668\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4XSS\u653b\u51fb\u548c\u6f5c\u5728\u7684\u5176\u4ed6\u5f62\u5f0f\u7684\u4ee3\u7801\u6ce8\u5165\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/Patrowl/PatrowlManager/security/advisories/GHSA-5hc9-6hq4-2xfx",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-06498",
  "openTime": "2022-01-25",
  "patchDescription": "PatrOwl\u662f\u4e00\u79cd\u7528\u4e8e\u7f16\u6392\u5b89\u5168\u64cd\u4f5c\u7684\u53ef\u6269\u5c55\u3001\u514d\u8d39\u548c\u5f00\u6e90\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nPatrOwl\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u5141\u8bb8\u5c06\u5371\u9669\u7c7b\u578b\u7684\u6587\u4ef6\u4e0a\u4f20\u5230\u670d\u52a1\u5668\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4XSS\u653b\u51fb\u548c\u6f5c\u5728\u7684\u5176\u4ed6\u5f62\u5f0f\u7684\u4ee3\u7801\u6ce8\u5165\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "PatrOwl\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "PatrOwl PatrOwl \u003c1.7.7"
  },
  "referenceLink": "https://github.com/Patrowl/PatrowlManager/security/advisories/GHSA-5hc9-6hq4-2xfx",
  "serverity": "\u4e2d",
  "submitTime": "2021-12-16",
  "title": "PatrOwl\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…