CNVD-2016-00229

Vulnerability from cnvd - Published: 2016-01-15
VLAI
Title
Grassroots DICOM (GDCM)缓冲区溢出漏洞
Description
Grassroots DICOM (GDCM)是一个用于处理DICOM医学影像的C++库。 Grassroots DICOM (GDCM) 2.6.0和2.6.1以前的版本存在缓冲区溢出漏洞,允许攻击者利用此漏洞执行远程代码攻击。
Severity
高
Patch Name
Grassroots DICOM (GDCM)缓冲区溢出漏洞的补丁
Patch Description
Grassroots DICOM (GDCM)是一个用于处理DICOM医学影像的C++库。 Grassroots DICOM (GDCM) 2.6.0和2.6.1以前的版本存在缓冲区溢出漏洞,允许攻击者利用此漏洞执行远程代码攻击。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

用户可参考如下供应商提供的安全公告获得补丁信息: http://census-labs.com/news/2016/01/11/gdcm-buffer-overflow-imageregionreaderreadintobuffer/

Reference
http://census-labs.com/news/2016/01/11/gdcm-buffer-overflow-imageregionreaderreadintobuffer/ http://sourceforge.net/p/gdcm/mailman/message/34670701/ http://sourceforge.net/p/gdcm/gdcm/ci/e547b1ded3fd21e0b0ad149f13045aa12d4b9b7c/
Impacted products
Name
['Grassroots DICOM (GDCM) < 2.6.0', 'Grassroots DICOM (GDCM) < 2.6.1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-8396"
    }
  },
  "description": "Grassroots DICOM (GDCM)\u662f\u4e00\u4e2a\u7528\u4e8e\u5904\u7406DICOM\u533b\u5b66\u5f71\u50cf\u7684C++\u5e93\u3002\r\n\r\nGrassroots DICOM (GDCM) 2.6.0\u548c2.6.1\u4ee5\u524d\u7684\u7248\u672c\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u6b64\u6f0f\u6d1e\u6267\u884c\u8fdc\u7a0b\u4ee3\u7801\u653b\u51fb\u3002",
  "discovererName": "Stelios Tsampas",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttp://census-labs.com/news/2016/01/11/gdcm-buffer-overflow-imageregionreaderreadintobuffer/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-00229",
  "openTime": "2016-01-15",
  "patchDescription": "Grassroots DICOM (GDCM)\u662f\u4e00\u4e2a\u7528\u4e8e\u5904\u7406DICOM\u533b\u5b66\u5f71\u50cf\u7684C++\u5e93\u3002\r\n\r\nGrassroots DICOM (GDCM) 2.6.0\u548c2.6.1\u4ee5\u524d\u7684\u7248\u672c\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u6b64\u6f0f\u6d1e\u6267\u884c\u8fdc\u7a0b\u4ee3\u7801\u653b\u51fb\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": "Grassroots DICOM (GDCM)\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Grassroots DICOM (GDCM) \u003c 2.6.0",
      "Grassroots DICOM (GDCM) \u003c 2.6.1"
    ]
  },
  "referenceLink": "http://census-labs.com/news/2016/01/11/gdcm-buffer-overflow-imageregionreaderreadintobuffer/\r\nhttp://sourceforge.net/p/gdcm/mailman/message/34670701/\r\nhttp://sourceforge.net/p/gdcm/gdcm/ci/e547b1ded3fd21e0b0ad149f13045aa12d4b9b7c/",
  "serverity": "\u9ad8",
  "submitTime": "2016-01-13",
  "title": "Grassroots DICOM (GDCM)\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…