CNVD-2019-19286
Vulnerability from cnvd - Published: 2019-06-26
VLAI
Title
RDK CcspPandM模块缓冲区溢出漏洞(CNVD-2019-19286)
Description
RDK是RDK Management社区的一套模块化、可移植、可定制的开源物联网软件解决方案。CcspPandM是其中的一个用于实现设备的核心配置和管理功能的模块。
RDK RDKB-20181217-1版本中的CcspPandM模块的cosa_dhcpv4_dml.c文件存在缓冲区溢出漏洞。该漏洞源于网络系统或产品在内存上执行操作时,未正确验证数据边界,导致向关联的其他内存位置上执行了错误的读写操作。攻击者可利用该漏洞导致缓冲区溢出或堆溢出等。
Severity
低
Patch Name
RDK CcspPandM模块缓冲区溢出漏洞(CNVD-2019-19286)的补丁
Patch Description
RDK是RDK Management社区的一套模块化、可移植、可定制的开源物联网软件解决方案。CcspPandM是其中的一个用于实现设备的核心配置和管理功能的模块。
RDK RDKB-20181217-1版本中的CcspPandM模块的cosa_dhcpv4_dml.c文件存在缓冲区溢出漏洞。该漏洞源于网络系统或产品在内存上执行操作时,未正确验证数据边界,导致向关联的其他内存位置上执行了错误的读写操作。攻击者可利用该漏洞导致缓冲区溢出或堆溢出等。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
目前厂商已发布升级补丁以修复漏洞,详情请关注厂商主页: https://rdkcentral.com/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-6963
Impacted products
| Name | RDK RDK RDKB-20181217-1 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2019-6963",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-6963"
}
},
"description": "RDK\u662fRDK Management\u793e\u533a\u7684\u4e00\u5957\u6a21\u5757\u5316\u3001\u53ef\u79fb\u690d\u3001\u53ef\u5b9a\u5236\u7684\u5f00\u6e90\u7269\u8054\u7f51\u8f6f\u4ef6\u89e3\u51b3\u65b9\u6848\u3002CcspPandM\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u7528\u4e8e\u5b9e\u73b0\u8bbe\u5907\u7684\u6838\u5fc3\u914d\u7f6e\u548c\u7ba1\u7406\u529f\u80fd\u7684\u6a21\u5757\u3002\n\nRDK RDKB-20181217-1\u7248\u672c\u4e2d\u7684CcspPandM\u6a21\u5757\u7684cosa_dhcpv4_dml.c\u6587\u4ef6\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u5728\u5185\u5b58\u4e0a\u6267\u884c\u64cd\u4f5c\u65f6\uff0c\u672a\u6b63\u786e\u9a8c\u8bc1\u6570\u636e\u8fb9\u754c\uff0c\u5bfc\u81f4\u5411\u5173\u8054\u7684\u5176\u4ed6\u5185\u5b58\u4f4d\u7f6e\u4e0a\u6267\u884c\u4e86\u9519\u8bef\u7684\u8bfb\u5199\u64cd\u4f5c\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7f13\u51b2\u533a\u6ea2\u51fa\u6216\u5806\u6ea2\u51fa\u7b49\u3002",
"discovererName": "unknwon",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://rdkcentral.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2019-19286",
"openTime": "2019-06-26",
"patchDescription": "RDK\u662fRDK Management\u793e\u533a\u7684\u4e00\u5957\u6a21\u5757\u5316\u3001\u53ef\u79fb\u690d\u3001\u53ef\u5b9a\u5236\u7684\u5f00\u6e90\u7269\u8054\u7f51\u8f6f\u4ef6\u89e3\u51b3\u65b9\u6848\u3002CcspPandM\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u7528\u4e8e\u5b9e\u73b0\u8bbe\u5907\u7684\u6838\u5fc3\u914d\u7f6e\u548c\u7ba1\u7406\u529f\u80fd\u7684\u6a21\u5757\u3002\r\n\r\nRDK RDKB-20181217-1\u7248\u672c\u4e2d\u7684CcspPandM\u6a21\u5757\u7684cosa_dhcpv4_dml.c\u6587\u4ef6\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u5728\u5185\u5b58\u4e0a\u6267\u884c\u64cd\u4f5c\u65f6\uff0c\u672a\u6b63\u786e\u9a8c\u8bc1\u6570\u636e\u8fb9\u754c\uff0c\u5bfc\u81f4\u5411\u5173\u8054\u7684\u5176\u4ed6\u5185\u5b58\u4f4d\u7f6e\u4e0a\u6267\u884c\u4e86\u9519\u8bef\u7684\u8bfb\u5199\u64cd\u4f5c\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7f13\u51b2\u533a\u6ea2\u51fa\u6216\u5806\u6ea2\u51fa\u7b49\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": "RDK CcspPandM\u6a21\u5757\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2019-19286\uff09\u7684\u8865\u4e01",
"products": {
"product": "RDK RDK RDKB-20181217-1"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-6963",
"serverity": "\u4f4e",
"submitTime": "2019-06-24",
"title": "RDK CcspPandM\u6a21\u5757\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2019-19286\uff09"
}
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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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