CNVD-2016-01146

Vulnerability from cnvd - Published: 2016-02-19
VLAI
Title
多款IBM产品信息泄露漏洞(CNVD-2016-01146)
Description
IBM Financial Transaction Manager (FTM) for ACH Services等都是美国IBM公司的金融事务管理器产品,它主要用于监控、跟踪和报告金融支付和交易。 多款IBM产品中存在安全漏洞。远程攻击者可通过读取错误日志中的异常的详细信息利用该漏洞获取敏感信息。
Severity
Patch Name
多款IBM产品信息泄露漏洞(CNVD-2016-01146)的补丁
Patch Description
IBM Financial Transaction Manager (FTM) for ACH Services等都是美国IBM公司的金融事务管理器产品,它主要用于监控、跟踪和报告金融支付和交易。 多款IBM产品中存在安全漏洞。远程攻击者可通过读取错误日志中的异常的详细信息利用该漏洞获取敏感信息。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: http://www-01.ibm.com/support/docview.wss?uid=swg21976392

Reference
http://www-01.ibm.com/support/docview.wss?uid=swg21976392 http://www-01.ibm.com/support/docview.wss?uid=swg1PI56759 http://www-01.ibm.com/support/docview.wss?uid=swg1PI56764
Impacted products
Name
['IBM Financial Transaction Manager (FTM) for ACH Services 3.0.0(<FP12)', 'IBM Financial Transaction Manager (FTM) for Check 3.0.0(<FP12)', 'IBM Financial Transaction Manager (FTM) for CPS 3.0.0(<FP12)']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-0231"
    }
  },
  "description": "IBM Financial Transaction Manager (FTM) for ACH Services\u7b49\u90fd\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u91d1\u878d\u4e8b\u52a1\u7ba1\u7406\u5668\u4ea7\u54c1\uff0c\u5b83\u4e3b\u8981\u7528\u4e8e\u76d1\u63a7\u3001\u8ddf\u8e2a\u548c\u62a5\u544a\u91d1\u878d\u652f\u4ed8\u548c\u4ea4\u6613\u3002\r\n\r\n\u591a\u6b3eIBM\u4ea7\u54c1\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u8bfb\u53d6\u9519\u8bef\u65e5\u5fd7\u4e2d\u7684\u5f02\u5e38\u7684\u8be6\u7ec6\u4fe1\u606f\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "IBM",
  "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\nhttp://www-01.ibm.com/support/docview.wss?uid=swg21976392",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-01146",
  "openTime": "2016-02-19",
  "patchDescription": "IBM Financial Transaction Manager (FTM) for ACH Services\u7b49\u90fd\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u91d1\u878d\u4e8b\u52a1\u7ba1\u7406\u5668\u4ea7\u54c1\uff0c\u5b83\u4e3b\u8981\u7528\u4e8e\u76d1\u63a7\u3001\u8ddf\u8e2a\u548c\u62a5\u544a\u91d1\u878d\u652f\u4ed8\u548c\u4ea4\u6613\u3002\r\n\r\n\u591a\u6b3eIBM\u4ea7\u54c1\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u8bfb\u53d6\u9519\u8bef\u65e5\u5fd7\u4e2d\u7684\u5f02\u5e38\u7684\u8be6\u7ec6\u4fe1\u606f\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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": "\u591a\u6b3eIBM\u4ea7\u54c1\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2016-01146\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM Financial Transaction Manager (FTM) for ACH Services 3.0.0(\u003cFP12)",
      "IBM Financial Transaction Manager (FTM) for Check 3.0.0(\u003cFP12)",
      "IBM Financial Transaction Manager (FTM) for CPS 3.0.0(\u003cFP12)"
    ]
  },
  "referenceLink": "http://www-01.ibm.com/support/docview.wss?uid=swg21976392\r\nhttp://www-01.ibm.com/support/docview.wss?uid=swg1PI56759\r\nhttp://www-01.ibm.com/support/docview.wss?uid=swg1PI56764",
  "serverity": "\u4e2d",
  "submitTime": "2016-02-18",
  "title": "\u591a\u6b3eIBM\u4ea7\u54c1\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2016-01146\uff09"
}



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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

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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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.


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