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CNVD-2023-32178

Vulnerability from cnvd - Published: 2023-04-27
VLAI
Title
RIOT-OS缓冲区溢出漏洞
Description
RIOT-OS是一个支持物联网设备的操作系统,包含一个能够处理6LoWPAN帧的网络堆栈。 RIOT-OS 2022.10之前的版本存在缓冲区溢出漏洞,攻击者可以利用该漏洞执行任意代码。
Severity
Patch Name
RIOT-OS缓冲区溢出漏洞的补丁
Patch Description
RIOT-OS是一个支持物联网设备的操作系统,包含一个能够处理6LoWPAN帧的网络堆栈。 RIOT-OS 2022.10之前的版本存在缓冲区溢出漏洞,攻击者可以利用该漏洞执行任意代码。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: hhttps://github.com/RIOT-OS/RIOT/security/advisories/GHSA-fv97-2448-gcf6

Reference
https://github.com/RIOT-OS/RIOT/pull/18817/commits/73615161c01fcfbbc7216cf502cabb12c1598ee4 https://github.com/RIOT-OS/RIOT/pull/18820/commits/da63e45ee94c03a2e08625b04ea618653eab4a9f https://github.com/RIOT-OS/RIOT/security/advisories/GHSA-fv97-2448-gcf6
Impacted products
Name
riot-os riot-os <2022.10
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-24819",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-24819"
    }
  },
  "description": "RIOT-OS\u662f\u4e00\u4e2a\u652f\u6301\u7269\u8054\u7f51\u8bbe\u5907\u7684\u64cd\u4f5c\u7cfb\u7edf\uff0c\u5305\u542b\u4e00\u4e2a\u80fd\u591f\u5904\u74066LoWPAN\u5e27\u7684\u7f51\u7edc\u5806\u6808\u3002\n\nRIOT-OS 2022.10\u4e4b\u524d\u7684\u7248\u672c\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhhttps://github.com/RIOT-OS/RIOT/security/advisories/GHSA-fv97-2448-gcf6",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-32178",
  "openTime": "2023-04-27",
  "patchDescription": "RIOT-OS\u662f\u4e00\u4e2a\u652f\u6301\u7269\u8054\u7f51\u8bbe\u5907\u7684\u64cd\u4f5c\u7cfb\u7edf\uff0c\u5305\u542b\u4e00\u4e2a\u80fd\u591f\u5904\u74066LoWPAN\u5e27\u7684\u7f51\u7edc\u5806\u6808\u3002\r\n\r\nRIOT-OS 2022.10\u4e4b\u524d\u7684\u7248\u672c\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\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": "RIOT-OS\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "riot-os riot-os \u003c2022.10"
  },
  "referenceLink": "https://github.com/RIOT-OS/RIOT/pull/18817/commits/73615161c01fcfbbc7216cf502cabb12c1598ee4\r\nhttps://github.com/RIOT-OS/RIOT/pull/18820/commits/da63e45ee94c03a2e08625b04ea618653eab4a9f\r\nhttps://github.com/RIOT-OS/RIOT/security/advisories/GHSA-fv97-2448-gcf6",
  "serverity": "\u9ad8",
  "submitTime": "2023-04-25",
  "title": "RIOT-OS\u7f13\u51b2\u533a\u6ea2\u51fa\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

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.

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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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