CNVD-2017-32543

Vulnerability from cnvd - Published: 2017-11-02
VLAI
Title
多款Huawei产品内存泄露漏洞
Description
Huawei USG9560、9520和9580都是中国华为(Huawei)公司的USG9500系列防火墙设备。 多款Huawei产品存在内存泄露漏洞。攻击者可通过访问Web设备上特定的网页利用该漏洞造成主控板重启并触发双主控倒换(内存破坏)。
Severity
中
Patch Name
多款Huawei产品内存泄露漏洞的补丁
Patch Description
Huawei USG9560、9520和9580都是中国华为(Huawei)公司的USG9500系列防火墙设备。 多款Huawei产品存在内存泄露漏洞。攻击者可通过访问Web设备上特定的网页利用该漏洞造成主控板重启并触发双主控倒换(内存破坏)。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,补丁获取链接: http://www.huawei.com/en/psirt/security-advisories/hw-408141

Reference
http://www1.huawei.com/en/security/psirt/security-bulletins/security-advisories/hw-408141.htm
Impacted products
Name
['Huawei USG9560 V300R001C00', 'Huawei USG9560 V300R001C01SPC100', 'Huawei USG9520 V300R001C00', 'Huawei USG9520 V300R001C01SPC100', 'Huawei USG9580 V300R001C00', 'Huawei USG9580 V300R001C01SPC100']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2014-9697"
    }
  },
  "description": "Huawei USG9560\u30019520\u548c9580\u90fd\u662f\u4e2d\u56fd\u534e\u4e3a\uff08Huawei\uff09\u516c\u53f8\u7684USG9500\u7cfb\u5217\u9632\u706b\u5899\u8bbe\u5907\u3002\r\n\r\n\u591a\u6b3eHuawei\u4ea7\u54c1\u5b58\u5728\u5185\u5b58\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u8bbf\u95eeWeb\u8bbe\u5907\u4e0a\u7279\u5b9a\u7684\u7f51\u9875\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u4e3b\u63a7\u677f\u91cd\u542f\u5e76\u89e6\u53d1\u53cc\u4e3b\u63a7\u5012\u6362\uff08\u5185\u5b58\u7834\u574f\uff09\u3002",
  "discovererName": "Huawei",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttp://www.huawei.com/en/psirt/security-advisories/hw-408141",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-32543",
  "openTime": "2017-11-02",
  "patchDescription": "Huawei USG9560\u30019520\u548c9580\u90fd\u662f\u4e2d\u56fd\u534e\u4e3a\uff08Huawei\uff09\u516c\u53f8\u7684USG9500\u7cfb\u5217\u9632\u706b\u5899\u8bbe\u5907\u3002\r\n\r\n\u591a\u6b3eHuawei\u4ea7\u54c1\u5b58\u5728\u5185\u5b58\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u8bbf\u95eeWeb\u8bbe\u5907\u4e0a\u7279\u5b9a\u7684\u7f51\u9875\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u4e3b\u63a7\u677f\u91cd\u542f\u5e76\u89e6\u53d1\u53cc\u4e3b\u63a7\u5012\u6362\uff08\u5185\u5b58\u7834\u574f\uff09\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\u6b3eHuawei\u4ea7\u54c1\u5185\u5b58\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Huawei USG9560 V300R001C00",
      "Huawei USG9560 V300R001C01SPC100",
      "Huawei USG9520 V300R001C00",
      "Huawei USG9520 V300R001C01SPC100",
      "Huawei USG9580 V300R001C00",
      "Huawei USG9580 V300R001C01SPC100"
    ]
  },
  "referenceLink": "http://www1.huawei.com/en/security/psirt/security-bulletins/security-advisories/hw-408141.htm",
  "serverity": "\u4e2d",
  "submitTime": "2017-10-27",
  "title": "\u591a\u6b3eHuawei\u4ea7\u54c1\u5185\u5b58\u6cc4\u9732\u6f0f\u6d1e"
}



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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.
  • 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.
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  • 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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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.


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