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

CNVD-2016-05094

Vulnerability from cnvd - Published: 2016-07-21
VLAI
Title
Apache TomEE存在未明漏洞
Description
Apache TomEE是美国阿帕奇(Apache)软件基金会所研发的一款Java EE服务器。 Apache TomEE 7.0.0-M3之前的版本和1.7.4版本中存在安全漏洞,目前没有详细的漏洞细节提供。
Severity
Patch Name
Apache TomEE存在未明漏洞的补丁
Patch Description
Apache TomEE是美国阿帕奇(Apache)软件基金会所研发的一款Java EE服务器。 Apache TomEE 7.0.0-M3之前的版本和1.7.4版本中存在安全漏洞,目前没有详细的漏洞细节提供。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://mail-archives.apache.org/mod_mbox/tomee-users/201603.mbox/%3CCACLE=7NmaALey5wWZvqadKoZ4xP5xn0fjKDuGnms-j+QqYp9GQ@mail.gmail.com%3E

Reference
http://www.securityfocus.com/bid/84422
Impacted products
Name
['Apache TomEE <7.0.0-M3', 'Apache TomEE 1.7.4']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "84422"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-0779"
    }
  },
  "description": "Apache TomEE\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u6240\u7814\u53d1\u7684\u4e00\u6b3eJava EE\u670d\u52a1\u5668\u3002\r\n\r\nApache TomEE 7.0.0-M3\u4e4b\u524d\u7684\u7248\u672c\u548c1.7.4\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "discovererName": "Romain Manni-Bucau",
  "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://mail-archives.apache.org/mod_mbox/tomee-users/201603.mbox/%3CCACLE=7NmaALey5wWZvqadKoZ4xP5xn0fjKDuGnms-j+QqYp9GQ@mail.gmail.com%3E",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-05094",
  "openTime": "2016-07-21",
  "patchDescription": "Apache TomEE\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u6240\u7814\u53d1\u7684\u4e00\u6b3eJava EE\u670d\u52a1\u5668\u3002\r\n\r\nApache TomEE 7.0.0-M3\u4e4b\u524d\u7684\u7248\u672c\u548c1.7.4\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "Apache TomEE\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apache TomEE \u003c7.0.0-M3",
      "Apache TomEE 1.7.4"
    ]
  },
  "referenceLink": "http://www.securityfocus.com/bid/84422",
  "serverity": "\u9ad8",
  "submitTime": "2016-07-19",
  "title": "Apache TomEE\u5b58\u5728\u672a\u660e\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…