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

CNVD-2016-10129

Vulnerability from cnvd - Published: 2016-10-27
VLAI
Title
libarchive堆缓冲区溢出漏洞(CNVD-2016-10129)
Description
libarchive是一个多格式存档和压缩库。 libarchive 3.2.1版本中存在堆缓冲区溢出漏洞,远程攻击者可以利用该漏洞执行任意代码或引起拒绝服务条件,拒绝服务合法用户。
Severity
Patch Name
libarchive堆缓冲区溢出漏洞(CNVD-2016-10129)的补丁
Patch Description
libarchive是一个多格式存档和压缩库。 libarchive 3.2.1版本中存在堆缓冲区溢出漏洞,远程攻击者可以利用该漏洞执行任意代码或引起拒绝服务条件,拒绝服务合法用户。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

目前厂商已经发布了升级补丁以修复此安全问题,补丁获取链接: https://github.com/libarchive/libarchive/

Reference
http://www.securityfocus.com/bid/93781/discuss
Impacted products
Name
libarchive libarchive 3.2.1
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "93781"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-8688"
    }
  },
  "description": "libarchive\u662f\u4e00\u4e2a\u591a\u683c\u5f0f\u5b58\u6863\u548c\u538b\u7f29\u5e93\u3002\r\n\r\nlibarchive 3.2.1\u7248\u672c\u4e2d\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6216\u5f15\u8d77\u62d2\u7edd\u670d\u52a1\u6761\u4ef6\uff0c\u62d2\u7edd\u670d\u52a1\u5408\u6cd5\u7528\u6237\u3002",
  "discovererName": "Agostino Sarubbo of Gentoo.",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a \r\nhttps://github.com/libarchive/libarchive/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-10129",
  "openTime": "2016-10-27",
  "patchDescription": "libarchive\u662f\u4e00\u4e2a\u591a\u683c\u5f0f\u5b58\u6863\u548c\u538b\u7f29\u5e93\u3002\r\n\r\nlibarchive 3.2.1\u7248\u672c\u4e2d\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6216\u5f15\u8d77\u62d2\u7edd\u670d\u52a1\u6761\u4ef6\uff0c\u62d2\u7edd\u670d\u52a1\u5408\u6cd5\u7528\u6237\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": "libarchive\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2016-10129\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "libarchive libarchive 3.2.1"
  },
  "referenceLink": "http://www.securityfocus.com/bid/93781/discuss",
  "serverity": "\u4e2d",
  "submitTime": "2016-10-20",
  "title": "libarchive\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2016-10129\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…

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…