Vulnerability-Lookup

CNVD-2017-25522

Vulnerability from cnvd - Published: 2017-09-07

Title

Thermo Fisher Scientific dataTaker DT8x dEX信息泄露漏洞

Description

Thermo Fisher Scientific dataTaker DT8x dEX是澳大利亚Thermo Fisher Scientific公司的一款数据采集记录器。 Thermo Fisher Scientific dataTaker DT8x dEX 1.72.007版本中存在安全漏洞。远程攻击者可利用该漏洞获取明文配置信息。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： http://www.datataker.com/

Reference

https://nullku7.github.io/stuff/exposure/industrial/2017/05/02/Thermofisher-dataTaker.html

Impacted products

Name
ThermoFisher Scientific dataTaker DT8x dEX

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-11349"
    }
  },
  "description": "Thermo Fisher Scientific dataTaker DT8x dEX\u662f\u6fb3\u5927\u5229\u4e9aThermo Fisher Scientific\u516c\u53f8\u7684\u4e00\u6b3e\u6570\u636e\u91c7\u96c6\u8bb0\u5f55\u5668\u3002\r\n\r\nThermo Fisher Scientific dataTaker DT8x dEX 1.72.007\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u660e\u6587\u914d\u7f6e\u4fe1\u606f\u3002",
  "discovererName": "unknwon",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttp://www.datataker.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-25522",
  "openTime": "2017-09-07",
  "products": {
    "product": "ThermoFisher Scientific dataTaker DT8x dEX"
  },
  "referenceLink": "https://nullku7.github.io/stuff/exposure/industrial/2017/05/02/Thermofisher-dataTaker.html",
  "serverity": "\u4e2d",
  "submitTime": "2017-07-26",
  "title": "Thermo Fisher Scientific dataTaker DT8x dEX\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2017-11349 (GCVE-0-2017-11349)

Vulnerability from cvelistv5 – Published: 2017-07-17 00:00 – Updated: 2024-08-05 18:05

Summary

dataTaker DT8x dEX 1.72.007 allows remote attackers to compose programs or schedules, for purposes such as sending e-mail messages or making outbound connections to FTP servers for uploading data.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://twitter.com/nullku7/status/859238295959609344	x_refsource_MISC
https://nullku7.github.io/stuff/exposure/industri…	x_refsource_MISC

Date Public

2017-07-16 00:00

Show details on NVD website

JSON

To clipboard

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          }
        ],
        "title": "CVE Program Container"
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    ],
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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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.