CNVD-2023-56647

Vulnerability from cnvd - Published: 2023-07-19
VLAI
Title
Linux kernel cedrus.c资源管理错误漏洞
Description
Linux kernel是美国Linux基金会的开源操作系统Linux所使用的内核。 Linux kernel 6.3.2之前版本存在安全漏洞,该漏洞源于在drivers/staging/media/sunxi/cedrus/cedrus.c中的cedrus_remove中的dm1105_remove中释放内存的指令发生混乱。攻击者可利用该漏洞导致程序崩溃,任意代码执行等。
Severity
中
Patch Name
Linux kernel cedrus.c资源管理错误漏洞的补丁
Patch Description
Linux kernel是美国Linux基金会的开源操作系统Linux所使用的内核。 Linux kernel 6.3.2之前版本存在安全漏洞,该漏洞源于在drivers/staging/media/sunxi/cedrus/cedrus.c中的cedrus_remove中的dm1105_remove中释放内存的指令发生混乱。攻击者可利用该漏洞导致程序崩溃,任意代码执行等。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://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=63264422785021704c39b38f65a78ab9e4a186d7

Reference
https://nvd.nist.gov/vuln/detail/CVE-2023-35826
Impacted products
Name
Linux Linux kernel <6.3.2
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-35826",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-35826"
    }
  },
  "description": "Linux kernel\u662f\u7f8e\u56fdLinux\u57fa\u91d1\u4f1a\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edfLinux\u6240\u4f7f\u7528\u7684\u5185\u6838\u3002\n\nLinux kernel 6.3.2\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728drivers/staging/media/sunxi/cedrus/cedrus.c\u4e2d\u7684cedrus_remove\u4e2d\u7684dm1105_remove\u4e2d\u91ca\u653e\u5185\u5b58\u7684\u6307\u4ee4\u53d1\u751f\u6df7\u4e71\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7a0b\u5e8f\u5d29\u6e83\uff0c\u4efb\u610f\u4ee3\u7801\u6267\u884c\u7b49\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=63264422785021704c39b38f65a78ab9e4a186d7",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-56647",
  "openTime": "2023-07-19",
  "patchDescription": "Linux kernel\u662f\u7f8e\u56fdLinux\u57fa\u91d1\u4f1a\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edfLinux\u6240\u4f7f\u7528\u7684\u5185\u6838\u3002\r\n\r\nLinux kernel 6.3.2\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728drivers/staging/media/sunxi/cedrus/cedrus.c\u4e2d\u7684cedrus_remove\u4e2d\u7684dm1105_remove\u4e2d\u91ca\u653e\u5185\u5b58\u7684\u6307\u4ee4\u53d1\u751f\u6df7\u4e71\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7a0b\u5e8f\u5d29\u6e83\uff0c\u4efb\u610f\u4ee3\u7801\u6267\u884c\u7b49\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": "Linux kernel cedrus.c\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Linux Linux kernel \u003c6.3.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2023-35826",
  "serverity": "\u4e2d",
  "submitTime": "2023-06-21",
  "title": "Linux kernel cedrus.c\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\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

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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.
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  • 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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