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

CNVD-2025-16079

Vulnerability from cnvd - Published: 2025-07-16
VLAI
Title
Tenda FH1206缓冲区溢出漏洞
Description
Tenda FH1206是腾达公司推出的双频无线路由器,专为光纤大户型家庭设计。 Tenda FH1206存在缓冲区溢出漏洞,该漏洞源于fromSafeUrlFilter函数的Go参数中包含一个缓冲区溢出漏洞,目前没有详细的漏洞细节提供。
Severity
Patch Name
Tenda FH1206缓冲区溢出漏洞的补丁
Patch Description
Tenda FH1206是腾达公司推出的双频无线路由器,专为光纤大户型家庭设计。 Tenda FH1206存在缓冲区溢出漏洞,该漏洞源于fromSafeUrlFilter函数的Go参数中包含一个缓冲区溢出漏洞,目前没有详细的漏洞细节提供。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程序修复该安全问题,详情见厂商官网: https://www.tenda.com.cn/download/detail-2905.html

Reference
https://nvd.nist.gov/vuln/detail/CVE-2024-42968
Impacted products
Name
Tenda FH1206 02.03.01.35
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-42968"
    }
  },
  "description": "Tenda FH1206\u662f\u817e\u8fbe\u516c\u53f8\u63a8\u51fa\u7684\u53cc\u9891\u65e0\u7ebf\u8def\u7531\u5668\uff0c\u4e13\u4e3a\u5149\u7ea4\u5927\u6237\u578b\u5bb6\u5ead\u8bbe\u8ba1\u3002\n\nTenda FH1206\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8efromSafeUrlFilter\u51fd\u6570\u7684Go\u53c2\u6570\u4e2d\u5305\u542b\u4e00\u4e2a\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\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.tenda.com.cn/download/detail-2905.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-16079",
  "openTime": "2025-07-16",
  "patchDescription": "Tenda FH1206\u662f\u817e\u8fbe\u516c\u53f8\u63a8\u51fa\u7684\u53cc\u9891\u65e0\u7ebf\u8def\u7531\u5668\uff0c\u4e13\u4e3a\u5149\u7ea4\u5927\u6237\u578b\u5bb6\u5ead\u8bbe\u8ba1\u3002\r\n\r\nTenda FH1206\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8efromSafeUrlFilter\u51fd\u6570\u7684Go\u53c2\u6570\u4e2d\u5305\u542b\u4e00\u4e2a\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "Tenda FH1206\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Tenda FH1206 02.03.01.35"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2024-42968",
  "serverity": "\u9ad8",
  "submitTime": "2024-08-16",
  "title": "Tenda FH1206\u7f13\u51b2\u533a\u6ea2\u51fa\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…