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

CNVD-2022-29586

Vulnerability from cnvd - Published: 2022-04-15
VLAI
Title
Calibre-Web服务器端跨站请求伪造漏洞
Description
Calibre-Web是一款用于浏览、阅读和下载Calibre数据库中电子书的Web应用程序。 Calibre-Web存在服务器端跨站请求伪造漏洞,目前没有详细漏洞细节提供。
Severity
Patch Name
Calibre-Web服务器端跨站请求伪造漏洞的补丁
Patch Description
Calibre-Web是一款用于浏览、阅读和下载Calibre数据库中电子书的Web应用程序。 Calibre-Web存在服务器端跨站请求伪造漏洞,目前没有详细漏洞细节提供。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/janeczku/calibre-web/commit/965352c8d96c9eae7a6867ff76b0db137d04b0b8

Reference
https://huntr.dev/bounties/b26fc127-9b6a-4be7-a455-58aefbb62d9e https://github.com/janeczku/calibre-web/commit/965352c8d96c9eae7a6867ff76b0db137d04b0b8 https://cxsecurity.com/cveshow/CVE-2022-0767/
Impacted products
Name
Calibre-Web Calibre-Web <0.6.17
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-0767"
    }
  },
  "description": "Calibre-Web\u662f\u4e00\u6b3e\u7528\u4e8e\u6d4f\u89c8\u3001\u9605\u8bfb\u548c\u4e0b\u8f7dCalibre\u6570\u636e\u5e93\u4e2d\u7535\u5b50\u4e66\u7684Web\u5e94\u7528\u7a0b\u5e8f\u3002\n\nCalibre-Web\u5b58\u5728\u670d\u52a1\u5668\u7aef\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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/janeczku/calibre-web/commit/965352c8d96c9eae7a6867ff76b0db137d04b0b8",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-29586",
  "openTime": "2022-04-15",
  "patchDescription": "Calibre-Web\u662f\u4e00\u6b3e\u7528\u4e8e\u6d4f\u89c8\u3001\u9605\u8bfb\u548c\u4e0b\u8f7dCalibre\u6570\u636e\u5e93\u4e2d\u7535\u5b50\u4e66\u7684Web\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nCalibre-Web\u5b58\u5728\u670d\u52a1\u5668\u7aef\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "Calibre-Web\u670d\u52a1\u5668\u7aef\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Calibre-Web Calibre-Web \u003c0.6.17"
  },
  "referenceLink": "https://huntr.dev/bounties/b26fc127-9b6a-4be7-a455-58aefbb62d9e\r\nhttps://github.com/janeczku/calibre-web/commit/965352c8d96c9eae7a6867ff76b0db137d04b0b8\r\nhttps://cxsecurity.com/cveshow/CVE-2022-0767/",
  "serverity": "\u9ad8",
  "submitTime": "2022-03-09",
  "title": "Calibre-Web\u670d\u52a1\u5668\u7aef\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\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…