GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2019-07031

Vulnerability from cnvd - Published: 2019-03-14
VLAI
Title
Martem TELEM GW6/GWM提权漏洞
Description
Martem TELEM GW6/GWM都是爱沙尼亚Martem公司的数据处理器产品。 Martem TELEM GW6/GWM 2.0.87-4018403-k4之前版本中存在安全漏洞。攻击者可通过使用默认凭证连接RTU利用该漏洞修改/上传新的系统配置或控制RTU。
Severity
Patch Name
Martem TELEM GW6/GWM提权漏洞的补丁
Patch Description
Martem TELEM GW6/GWM都是爱沙尼亚Martem公司的数据处理器产品。 Martem TELEM GW6/GWM 2.0.87-4018403-k4之前版本中存在安全漏洞。攻击者可通过使用默认凭证连接RTU利用该漏洞修改/上传新的系统配置或控制RTU。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

厂商已发布了漏洞修复程序,请及时关注更新: https://ics-cert.us-cert.gov/advisories/ICSA-18-142-01

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-10605
Impacted products
Name
Martem TELEM GW6/GWM <2.0.87-4018403-k4
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-10605",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-10605"
    }
  },
  "description": "Martem TELEM GW6/GWM\u90fd\u662f\u7231\u6c99\u5c3c\u4e9aMartem\u516c\u53f8\u7684\u6570\u636e\u5904\u7406\u5668\u4ea7\u54c1\u3002\n\nMartem TELEM GW6/GWM 2.0.87-4018403-k4\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u4f7f\u7528\u9ed8\u8ba4\u51ed\u8bc1\u8fde\u63a5RTU\u5229\u7528\u8be5\u6f0f\u6d1e\u4fee\u6539/\u4e0a\u4f20\u65b0\u7684\u7cfb\u7edf\u914d\u7f6e\u6216\u63a7\u5236RTU\u3002",
  "discovererName": "Bernhards Blumbergs and Arturs Danilevics of CERT.LV, Latvia",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://ics-cert.us-cert.gov/advisories/ICSA-18-142-01",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-07031",
  "openTime": "2019-03-14",
  "patchDescription": "Martem TELEM GW6/GWM\u90fd\u662f\u7231\u6c99\u5c3c\u4e9aMartem\u516c\u53f8\u7684\u6570\u636e\u5904\u7406\u5668\u4ea7\u54c1\u3002\r\n\r\nMartem TELEM GW6/GWM 2.0.87-4018403-k4\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u4f7f\u7528\u9ed8\u8ba4\u51ed\u8bc1\u8fde\u63a5RTU\u5229\u7528\u8be5\u6f0f\u6d1e\u4fee\u6539/\u4e0a\u4f20\u65b0\u7684\u7cfb\u7edf\u914d\u7f6e\u6216\u63a7\u5236RTU\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": "Martem TELEM GW6/GWM\u63d0\u6743\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Martem TELEM GW6/GWM \u003c2.0.87-4018403-k4"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-10605",
  "serverity": "\u9ad8",
  "submitTime": "2018-10-16",
  "title": "Martem TELEM GW6/GWM\u63d0\u6743\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…