CNVD-2022-72097

Vulnerability from cnvd - Published: 2022-10-28
VLAI
Title
LibTIFF缓冲区溢出漏洞(CNVD-2022-72097)
Description
LibTIFF是一个读写TIFF(标签图像文件格式)文件的库。该库包含一些处理TIFF文件的命令行工具。 LibTIFF存在安全漏洞,该漏洞源于在tiffcp.c的main()函数中发现存在栈缓冲区溢出缺陷。攻击者可利用该漏洞将特制的TIFF文件传递给tiffcp工具,从而触发堆栈缓冲区溢出问题,导致损坏内存,并导致拒绝服务。
Severity
Patch Name
LibTIFF缓冲区溢出漏洞(CNVD-2022-72097)的补丁
Patch Description
LibTIFF是一个读写TIFF(标签图像文件格式)文件的库。该库包含一些处理TIFF文件的命令行工具。 LibTIFF存在安全漏洞,该漏洞源于在tiffcp.c的main()函数中发现存在栈缓冲区溢出缺陷。攻击者可利用该漏洞将特制的TIFF文件传递给tiffcp工具,从而触发堆栈缓冲区溢出问题,导致损坏内存,并导致拒绝服务。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补丁以修复漏洞,补丁获取链接: https://gitlab.com/gitlab-org/build/omnibus-mirror/libtiff/-/commit/fb1db384959698edd6caeea84e28253d272a0f96

Reference
https://nvd.nist.gov/vuln/detail/CVE-2022-1355
Impacted products
Name
Libtiff LibTiff <4.4.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-1355",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-1355"
    }
  },
  "description": "LibTIFF\u662f\u4e00\u4e2a\u8bfb\u5199TIFF\uff08\u6807\u7b7e\u56fe\u50cf\u6587\u4ef6\u683c\u5f0f\uff09\u6587\u4ef6\u7684\u5e93\u3002\u8be5\u5e93\u5305\u542b\u4e00\u4e9b\u5904\u7406TIFF\u6587\u4ef6\u7684\u547d\u4ee4\u884c\u5de5\u5177\u3002\n\nLibTIFF\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728tiffcp.c\u7684main()\u51fd\u6570\u4e2d\u53d1\u73b0\u5b58\u5728\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u7f3a\u9677\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u7279\u5236\u7684TIFF\u6587\u4ef6\u4f20\u9012\u7ed9tiffcp\u5de5\u5177\uff0c\u4ece\u800c\u89e6\u53d1\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u95ee\u9898\uff0c\u5bfc\u81f4\u635f\u574f\u5185\u5b58\uff0c\u5e76\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://gitlab.com/gitlab-org/build/omnibus-mirror/libtiff/-/commit/fb1db384959698edd6caeea84e28253d272a0f96",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-72097",
  "openTime": "2022-10-28",
  "patchDescription": "LibTIFF\u662f\u4e00\u4e2a\u8bfb\u5199TIFF\uff08\u6807\u7b7e\u56fe\u50cf\u6587\u4ef6\u683c\u5f0f\uff09\u6587\u4ef6\u7684\u5e93\u3002\u8be5\u5e93\u5305\u542b\u4e00\u4e9b\u5904\u7406TIFF\u6587\u4ef6\u7684\u547d\u4ee4\u884c\u5de5\u5177\u3002\r\n\r\nLibTIFF\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728tiffcp.c\u7684main()\u51fd\u6570\u4e2d\u53d1\u73b0\u5b58\u5728\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u7f3a\u9677\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u7279\u5236\u7684TIFF\u6587\u4ef6\u4f20\u9012\u7ed9tiffcp\u5de5\u5177\uff0c\u4ece\u800c\u89e6\u53d1\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u95ee\u9898\uff0c\u5bfc\u81f4\u635f\u574f\u5185\u5b58\uff0c\u5e76\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\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": "LibTIFF\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2022-72097\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Libtiff LibTiff \u003c4.4.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-1355",
  "serverity": "\u4e2d",
  "submitTime": "2022-09-05",
  "title": "LibTIFF\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2022-72097\uff09"
}



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…