CNVD-2017-32867

Vulnerability from cnvd - Published: 2017-11-06
VLAI
Title
Bento4 Core/Ap4AtomSampleTable.cpp文件缓冲区溢出漏洞
Description
Bento4是一款用于读写MP4文件的开源的C++库。 Bento4 1.5.0-616版本中的SDK的Core/Ap4AtomSampleTable.cpp文件的AP4_AtomSampleTable::GetSample存在缓冲区溢出漏洞。远程攻击者可借助特制的.MP4文件利用该漏洞造成拒绝服务或执行任意代码。
Severity
中
Patch Name
Bento4 Core/Ap4AtomSampleTable.cpp文件缓冲区溢出漏洞的补丁
Patch Description
Bento4是一款用于读写MP4文件的开源的C++库。 Bento4 1.5.0-616版本中的SDK的Core/Ap4AtomSampleTable.cpp文件的AP4_AtomSampleTable::GetSample存在缓冲区溢出漏洞。远程攻击者可借助特制的.MP4文件利用该漏洞造成拒绝服务或执行任意代码。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/axiomatic-systems/Bento4/commit/80e00530366671a2b55ffce5c64809e3bf0de533

Reference
https://github.com/axiomatic-systems/Bento4/issues/181
Impacted products
Name
Bento4 Bento4 1.5.0-616
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-14257"
    }
  },
  "description": "Bento4\u662f\u4e00\u6b3e\u7528\u4e8e\u8bfb\u5199MP4\u6587\u4ef6\u7684\u5f00\u6e90\u7684C++\u5e93\u3002\r\n\r\nBento4 1.5.0-616\u7248\u672c\u4e2d\u7684SDK\u7684Core/Ap4AtomSampleTable.cpp\u6587\u4ef6\u7684AP4_AtomSampleTable::GetSample\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684.MP4\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u6216\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/axiomatic-systems/Bento4/commit/80e00530366671a2b55ffce5c64809e3bf0de533",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-32867",
  "openTime": "2017-11-06",
  "patchDescription": "Bento4\u662f\u4e00\u6b3e\u7528\u4e8e\u8bfb\u5199MP4\u6587\u4ef6\u7684\u5f00\u6e90\u7684C++\u5e93\u3002\r\n\r\nBento4 1.5.0-616\u7248\u672c\u4e2d\u7684SDK\u7684Core/Ap4AtomSampleTable.cpp\u6587\u4ef6\u7684AP4_AtomSampleTable::GetSample\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684.MP4\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u6216\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": "Bento4 Core/Ap4AtomSampleTable.cpp\u6587\u4ef6\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Bento4 Bento4 1.5.0-616"
  },
  "referenceLink": "https://github.com/axiomatic-systems/Bento4/issues/181",
  "serverity": "\u4e2d",
  "submitTime": "2017-09-12",
  "title": "Bento4 Core/Ap4AtomSampleTable.cpp\u6587\u4ef6\u7f13\u51b2\u533a\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…

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…