CNVD-2019-06643

Vulnerability from cnvd - Published: 2019-03-09
VLAI
Title
libgit2整数溢出漏洞(CNVD-2019-06643)
Description
libgit2是一个可移植、使用C语言实现的Git核心开发包。 libgit2 0.27.3之前版本中的delta.c文件的‘git_delta_apply’函数存在整数溢出漏洞,攻击者可利用该漏洞泄露内存地址或造成拒绝服务(越界读取)。
Severity
中
Patch Name
libgit2整数溢出漏洞(CNVD-2019-06643)的补丁
Patch Description
libgit2是一个可移植、使用C语言实现的Git核心开发包。 libgit2 0.27.3之前版本中的delta.c文件的‘git_delta_apply’函数存在整数溢出漏洞,攻击者可利用该漏洞泄露内存地址或造成拒绝服务(越界读取)。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/libgit2/libgit2/commit/3f461902dc1072acb8b7607ee65d0a0458ffac2a

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-10887
Impacted products
Name
libgit2 libgit2 <0.27.3
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-10887"
    }
  },
  "description": "libgit2\u662f\u4e00\u4e2a\u53ef\u79fb\u690d\u3001\u4f7f\u7528C\u8bed\u8a00\u5b9e\u73b0\u7684Git\u6838\u5fc3\u5f00\u53d1\u5305\u3002\n\nlibgit2 0.27.3\u4e4b\u524d\u7248\u672c\u4e2d\u7684delta.c\u6587\u4ef6\u7684\u2018git_delta_apply\u2019\u51fd\u6570\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u5185\u5b58\u5730\u5740\u6216\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u8d8a\u754c\u8bfb\u53d6\uff09\u3002",
  "discovererName": "Riccardo Schirone",
  "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/libgit2/libgit2/commit/3f461902dc1072acb8b7607ee65d0a0458ffac2a",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-06643",
  "openTime": "2019-03-09",
  "patchDescription": "libgit2\u662f\u4e00\u4e2a\u53ef\u79fb\u690d\u3001\u4f7f\u7528C\u8bed\u8a00\u5b9e\u73b0\u7684Git\u6838\u5fc3\u5f00\u53d1\u5305\u3002\r\n\r\nlibgit2 0.27.3\u4e4b\u524d\u7248\u672c\u4e2d\u7684delta.c\u6587\u4ef6\u7684\u2018git_delta_apply\u2019\u51fd\u6570\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u5185\u5b58\u5730\u5740\u6216\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u8d8a\u754c\u8bfb\u53d6\uff09\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": "libgit2\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2019-06643\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "libgit2 libgit2 \u003c0.27.3"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-10887",
  "serverity": "\u4e2d",
  "submitTime": "2018-07-11",
  "title": "libgit2\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2019-06643\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…