CNVD-2019-05100

Vulnerability from cnvd - Published: 2019-02-22
VLAI
Title
LibVNC内存错误引用漏洞(CNVD-2019-05100)
Description
LibVNC是一款用于实现VNC服务器和客户端功能的跨平台C库。 LibVNC commit ca2a5ac02fbbadd0a21fabba779c1ea69173d10b之前版本中的文件传输扩展的服务器代码存在内存错误引用漏洞。远程攻击者可利用该漏洞执行任意代码。
Severity
中
Patch Name
LibVNC内存错误引用漏洞(CNVD-2019-05100)的补丁
Patch Description
LibVNC是一款用于实现VNC服务器和客户端功能的跨平台C库。 LibVNC commit ca2a5ac02fbbadd0a21fabba779c1ea69173d10b之前版本中的文件传输扩展的服务器代码存在内存错误引用漏洞。远程攻击者可利用该漏洞执行任意代码。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

厂商已发布漏洞修复程序,请及时关注更新: https://github.com/LibVNC/libvncserver

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-6307
Impacted products
Name
LibVNC LibVNC <commit ca2a5ac02fbbadd0a21fabba779c1ea69173d10b
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-6307"
    }
  },
  "description": "LibVNC\u662f\u4e00\u6b3e\u7528\u4e8e\u5b9e\u73b0VNC\u670d\u52a1\u5668\u548c\u5ba2\u6237\u7aef\u529f\u80fd\u7684\u8de8\u5e73\u53f0C\u5e93\u3002\n\nLibVNC commit ca2a5ac02fbbadd0a21fabba779c1ea69173d10b\u4e4b\u524d\u7248\u672c\u4e2d\u7684\u6587\u4ef6\u4f20\u8f93\u6269\u5c55\u7684\u670d\u52a1\u5668\u4ee3\u7801\u5b58\u5728\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "unknwon",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/LibVNC/libvncserver",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-05100",
  "openTime": "2019-02-22",
  "patchDescription": "LibVNC\u662f\u4e00\u6b3e\u7528\u4e8e\u5b9e\u73b0VNC\u670d\u52a1\u5668\u548c\u5ba2\u6237\u7aef\u529f\u80fd\u7684\u8de8\u5e73\u53f0C\u5e93\u3002\r\n\r\nLibVNC commit ca2a5ac02fbbadd0a21fabba779c1ea69173d10b\u4e4b\u524d\u7248\u672c\u4e2d\u7684\u6587\u4ef6\u4f20\u8f93\u6269\u5c55\u7684\u670d\u52a1\u5668\u4ee3\u7801\u5b58\u5728\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\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": "LibVNC\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\uff08CNVD-2019-05100\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "LibVNC LibVNC \u003ccommit ca2a5ac02fbbadd0a21fabba779c1ea69173d10b"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-6307",
  "serverity": "\u4e2d",
  "submitTime": "2018-12-20",
  "title": "LibVNC\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\uff08CNVD-2019-05100\uff09"
}



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…

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…