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

CNVD-2025-30857

Vulnerability from cnvd - Published: 2025-12-17
VLAI
Title
AzeoTech DAQFactory释放后使用漏洞
Description
AzeoTech DAQFactory是一款由美国AzeoTech公司开发的数据采集与监控软件,常用于工业自动化领域。 AzeoTech DAQFactory存在释放后使用漏洞,该漏洞源于解析特制.ctl文件时存在释放后重用,攻击者可利用该漏洞执行任意代码。
Severity
Formal description

目前厂商尚未发布升级程序修复该安全问题,详情见厂商官网: https://www.azeotech.com/j/index.html

Reference
https://www.cisa.gov/news-events/ics-advisories/icsa-25-345-03
Impacted products
Name
AzeoTech DAQFactory release 20.7 (Build 2555)
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-66585",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-66585"
    }
  },
  "description": "AzeoTech DAQFactory\u662f\u4e00\u6b3e\u7531\u7f8e\u56fdAzeoTech\u516c\u53f8\u5f00\u53d1\u7684\u6570\u636e\u91c7\u96c6\u4e0e\u76d1\u63a7\u8f6f\u4ef6\uff0c\u5e38\u7528\u4e8e\u5de5\u4e1a\u81ea\u52a8\u5316\u9886\u57df\u3002\n\nAzeoTech DAQFactory\u5b58\u5728\u91ca\u653e\u540e\u4f7f\u7528\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u89e3\u6790\u7279\u5236.ctl\u6587\u4ef6\u65f6\u5b58\u5728\u91ca\u653e\u540e\u91cd\u7528\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5c1a\u672a\u53d1\u5e03\u5347\u7ea7\u7a0b\u5e8f\u4fee\u590d\u8be5\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u89c1\u5382\u5546\u5b98\u7f51\uff1a\r\nhttps://www.azeotech.com/j/index.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-30857",
  "openTime": "2025-12-17",
  "products": {
    "product": "AzeoTech DAQFactory  release 20.7 (Build 2555)"
  },
  "referenceLink": "https://www.cisa.gov/news-events/ics-advisories/icsa-25-345-03",
  "serverity": "\u4e2d",
  "submitTime": "2025-12-15",
  "title": "AzeoTech DAQFactory\u91ca\u653e\u540e\u4f7f\u7528\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…