CNVD-2016-09670
Vulnerability from cnvd - Published: 2016-10-21
VLAI
Title
Pivotal Spring Data JPA SQL注入漏洞
Description
Pivotal公司是由EMC和VMware联合成立的一家新公司。
Pivotal Spring Data JPA中存在SQL注入漏洞,由于程序不能充分清理用户输入数据。攻击者可以利用该漏洞访问和修改数据。
Severity
高
Patch Name
Pivotal Spring Data JPA SQL注入漏洞的补丁
Patch Description
Pivotal公司是由EMC和VMware联合成立的一家新公司。
Pivotal Spring Data JPA中存在SQL注入漏洞,由于程序未能充分清理用户输入数据。攻击者可以利用该漏洞访问和修改数据。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,详情请关注厂商主页: https://pivotal.io/
Reference
http://www.securityfocus.com/bid/93276
Impacted products
| Name | ['Pivotal Software Spring Data JPA 1.10.2', 'Pivotal Software Spring Data JPA 1.9.4'] |
|---|
{
"bids": {
"bid": {
"bidNumber": "93276"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2016-6652"
}
},
"description": "Pivotal\u516c\u53f8\u662f\u7531EMC\u548cVMware\u8054\u5408\u6210\u7acb\u7684\u4e00\u5bb6\u65b0\u516c\u53f8\u3002\r\n\r\nPivotal Spring Data JPA\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u7531\u4e8e\u7a0b\u5e8f\u4e0d\u80fd\u5145\u5206\u6e05\u7406\u7528\u6237\u8f93\u5165\u6570\u636e\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u548c\u4fee\u6539\u6570\u636e\u3002",
"discovererName": "Niklas S\u00c3\u00a4r\u00c3\u00b6kaari, Joona Immonen, Arto Santala, Antti Virtanen, Michael Holopainen and Antti Ahola from Silverskin Information Security.",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a \r\nhttps://pivotal.io/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2016-09670",
"openTime": "2016-10-21",
"patchDescription": "Pivotal\u516c\u53f8\u662f\u7531EMC\u548cVMware\u8054\u5408\u6210\u7acb\u7684\u4e00\u5bb6\u65b0\u516c\u53f8\u3002\r\n\r\nPivotal Spring Data JPA\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u7531\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5145\u5206\u6e05\u7406\u7528\u6237\u8f93\u5165\u6570\u636e\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u548c\u4fee\u6539\u6570\u636e\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": "Pivotal Spring Data JPA SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": [
"Pivotal Software Spring Data JPA 1.10.2",
"Pivotal Software Spring Data JPA 1.9.4"
]
},
"referenceLink": "http://www.securityfocus.com/bid/93276",
"serverity": "\u9ad8",
"submitTime": "2016-10-13",
"title": "Pivotal Spring Data JPA 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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