CNVD-2016-09598
Vulnerability from cnvd - Published: 2016-10-20
VLAI
Title
IIBM Kenexa LMS on Cloud SQL注入漏洞
Description
IBM Kenexa LCMS Premier是美国IBM公司的产品。
IBM Kenexa LMS cloude 5.2版本存在SQL注入漏洞,攻击者可利用该漏洞影响应用程序,或者访问及修改数据,或篡改数据库。
Severity
高
Formal description
用户可参考如下厂商提供的安全补丁以修复该漏洞: http://www-01.ibm.com/support/docview.wss?uid=swg21992129
Reference
http://www.securityfocus.com/bid/93523/
Impacted products
| Name | ['IBM Kenexa LCMS 4.0', 'IBM Kenexa LCMS 4.1', 'IBM Kenexa LCMS 4.2', 'IBM Kenexa LCMS 4.2.2', 'IBM Kenexa LCMS 4.2.3', 'IBM Kenexa LCMS 4.2.4', 'IBM Kenexa LCMS 5.0', 'IBM Kenexa LCMS 5.2'] |
|---|
{
"bids": {
"bid": {
"bidNumber": "93523"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2016-5939"
}
},
"description": "IBM Kenexa LCMS Premier\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4ea7\u54c1\u3002\r\n\r\nIBM Kenexa LMS cloude 5.2\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\uff0c\u6216\u8005\u8bbf\u95ee\u53ca\u4fee\u6539\u6570\u636e\uff0c\u6216\u7be1\u6539\u6570\u636e\u5e93\u3002",
"discovererName": "IBM",
"formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttp://www-01.ibm.com/support/docview.wss?uid=swg21992129",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2016-09598",
"openTime": "2016-10-20",
"products": {
"product": [
"IBM Kenexa LCMS 4.0",
"IBM Kenexa LCMS 4.1",
"IBM Kenexa LCMS 4.2",
"IBM Kenexa LCMS 4.2.2",
"IBM Kenexa LCMS 4.2.3",
"IBM Kenexa LCMS 4.2.4",
"IBM Kenexa LCMS 5.0",
"IBM Kenexa LCMS 5.2"
]
},
"referenceLink": "http://www.securityfocus.com/bid/93523/",
"serverity": "\u9ad8",
"submitTime": "2016-10-13",
"title": "IIBM Kenexa LMS on Cloud SQL\u6ce8\u5165\u6f0f\u6d1e"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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