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

CNVD-2017-06956

Vulnerability from cnvd - Published: 2017-05-18
VLAI
Title
MulticoreWare x265整数溢出漏洞
Description
MulticoreWare x265是美国MulticoreWare公司开发的一款HEVC编码器。 MulticoreWare x265 2.4及之前的版本中的pixel-a.asm存在整数溢出漏洞。攻击者可借助较小的图片利用该漏洞造成加密进程拒绝服务。
Severity
Patch Name
MulticoreWare x265整数溢出漏洞的补丁
Patch Description
MulticoreWare x265是美国MulticoreWare公司开发的一款HEVC编码器。 MulticoreWare x265 2.4及之前的版本中的pixel-a.asm存在整数溢出漏洞。攻击者可借助较小的图片利用该漏洞造成加密进程拒绝服务。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://bitbucket.org/multicoreware/x265/issues/345/integer-underflow-in-x265-source-common

Reference
https://bitbucket.org/multicoreware/x265/issues/345/integer-underflow-in-x265-source-common
Impacted products
Name
MulticoreWare x265 <=2.4
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-8906"
    }
  },
  "description": "MulticoreWare x265\u662f\u7f8e\u56fdMulticoreWare\u516c\u53f8\u5f00\u53d1\u7684\u4e00\u6b3eHEVC\u7f16\u7801\u5668\u3002\r\n\r\nMulticoreWare x265 2.4\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684pixel-a.asm\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u8f83\u5c0f\u7684\u56fe\u7247\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u52a0\u5bc6\u8fdb\u7a0b\u62d2\u7edd\u670d\u52a1\u3002",
  "discovererName": "Wei WU(ww9210) @ VARAS of IIE.",
  "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://bitbucket.org/multicoreware/x265/issues/345/integer-underflow-in-x265-source-common",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-06956",
  "openTime": "2017-05-18",
  "patchDescription": "MulticoreWare x265\u662f\u7f8e\u56fdMulticoreWare\u516c\u53f8\u5f00\u53d1\u7684\u4e00\u6b3eHEVC\u7f16\u7801\u5668\u3002\r\n\r\nMulticoreWare x265 2.4\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684pixel-a.asm\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u8f83\u5c0f\u7684\u56fe\u7247\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u52a0\u5bc6\u8fdb\u7a0b\u62d2\u7edd\u670d\u52a1\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": "MulticoreWare x265\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "MulticoreWare x265 \u003c=2.4"
  },
  "referenceLink": "https://bitbucket.org/multicoreware/x265/issues/345/integer-underflow-in-x265-source-common",
  "serverity": "\u4e2d",
  "submitTime": "2017-05-17",
  "title": "MulticoreWare x265\u6574\u6570\u6ea2\u51fa\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…