CNVD-2021-31261

Vulnerability from cnvd - Published: 2021-04-27
VLAI
Title
libjpeg-turbo缓冲区溢出漏洞
Description
libjpeg是一款用于处理JPEG格式图像数据的C语言库。该产品包括JPEG解码、JPEG编码和其他JPEG功能。libjpeg-turbo是libjpeg的一个优化改进版本。 libjpeg-turbo 2.0.4版本和mozjpeg 4.0.0版本中的rdppm.c文件的‘get_rgb_row’函数存在缓冲区溢出漏洞,远程攻击者可借助特制PPM输入文件利用该漏洞获取敏感信息或导致应用程序崩溃(拒绝服务)。
Severity
Patch Name
libjpeg-turbo缓冲区溢出漏洞的补丁
Patch Description
libjpeg是一款用于处理JPEG格式图像数据的C语言库。该产品包括JPEG解码、JPEG编码和其他JPEG功能。libjpeg-turbo是libjpeg的一个优化改进版本。 libjpeg-turbo 2.0.4版本和mozjpeg 4.0.0版本中的rdppm.c文件的‘get_rgb_row’函数存在缓冲区溢出漏洞,远程攻击者可借助特制PPM输入文件利用该漏洞获取敏感信息或导致应用程序崩溃(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

厂商已发布了漏洞修复程序,请及时关注更新: https://github.com/libjpeg-turbo/libjpeg-turbo/commit/3de15e0c344d11d4b90f4a47136467053eb2d09a

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-13790
Impacted products
Name
['libjpeg-turbo libjpeg-turbo 2.0.4', 'libjpeg-turbo mozjpeg 4.0.0']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-13790"
    }
  },
  "description": "libjpeg\u662f\u4e00\u6b3e\u7528\u4e8e\u5904\u7406JPEG\u683c\u5f0f\u56fe\u50cf\u6570\u636e\u7684C\u8bed\u8a00\u5e93\u3002\u8be5\u4ea7\u54c1\u5305\u62ecJPEG\u89e3\u7801\u3001JPEG\u7f16\u7801\u548c\u5176\u4ed6JPEG\u529f\u80fd\u3002libjpeg-turbo\u662flibjpeg\u7684\u4e00\u4e2a\u4f18\u5316\u6539\u8fdb\u7248\u672c\u3002\n\nlibjpeg-turbo 2.0.4\u7248\u672c\u548cmozjpeg 4.0.0\u7248\u672c\u4e2d\u7684rdppm.c\u6587\u4ef6\u7684\u2018get_rgb_row\u2019\u51fd\u6570\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236PPM\u8f93\u5165\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u6216\u5bfc\u81f4\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff08\u62d2\u7edd\u670d\u52a1\uff09\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://github.com/libjpeg-turbo/libjpeg-turbo/commit/3de15e0c344d11d4b90f4a47136467053eb2d09a",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-31261",
  "openTime": "2021-04-27",
  "patchDescription": "libjpeg\u662f\u4e00\u6b3e\u7528\u4e8e\u5904\u7406JPEG\u683c\u5f0f\u56fe\u50cf\u6570\u636e\u7684C\u8bed\u8a00\u5e93\u3002\u8be5\u4ea7\u54c1\u5305\u62ecJPEG\u89e3\u7801\u3001JPEG\u7f16\u7801\u548c\u5176\u4ed6JPEG\u529f\u80fd\u3002libjpeg-turbo\u662flibjpeg\u7684\u4e00\u4e2a\u4f18\u5316\u6539\u8fdb\u7248\u672c\u3002\r\n\r\nlibjpeg-turbo 2.0.4\u7248\u672c\u548cmozjpeg 4.0.0\u7248\u672c\u4e2d\u7684rdppm.c\u6587\u4ef6\u7684\u2018get_rgb_row\u2019\u51fd\u6570\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236PPM\u8f93\u5165\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u6216\u5bfc\u81f4\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff08\u62d2\u7edd\u670d\u52a1\uff09\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": "libjpeg-turbo\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "libjpeg-turbo libjpeg-turbo 2.0.4",
      "libjpeg-turbo mozjpeg 4.0.0"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-13790",
  "serverity": "\u4e2d",
  "submitTime": "2020-06-04",
  "title": "libjpeg-turbo\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.

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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 patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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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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