cnvd-2017-30499
Vulnerability from cnvd
Title
libjpeg-turbo空指针解引用漏洞
Description
libjpeg-turbo是使用SIMD指令（MMX，SSE2，AVX2，NEON，AltiVec）来加速在x86、x86-64、ARM及PowerPC系统上的基线JPEG压缩和解压缩的JPEG图像编解码器。 libjpeg-turbo存在空指针解引用漏洞，可通过特制JPEG文件导致libjpeg-turbo中的jdpostct.c和jquant1.c发生空指针解引用。
Severity
中
Patch Name
libjpeg-turbo空指针解引用漏洞的补丁
Patch Description
libjpeg-turbo是使用SIMD指令（MMX，SSE2，AVX2，NEON，AltiVec）来加速在x86、x86-64、ARM及PowerPC系统上的基线JPEG压缩和解压缩的JPEG图像编解码器。 libjpeg-turbo存在空指针解引用漏洞，可通过特制JPEG文件导致libjpeg-turbo中的jdpostct.c和jquant1.c发生空指针解引用。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

厂商已发布漏洞修复程序，请及时关注更新： https://github.com/libjpeg-turbo/libjpeg-turbo/pull/182

Reference
https://nvd.nist.gov/vuln/detail/CVE-2017-15232
Impacted products
Name
libjpeg-turbo libjpeg-turbo 1.5.2
Show details on source website

To clipboard 

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-15232"
    }
  },
  "description": "libjpeg-turbo\u662f\u4f7f\u7528SIMD\u6307\u4ee4\uff08MMX\uff0cSSE2\uff0cAVX2\uff0cNEON\uff0cAltiVec\uff09\u6765\u52a0\u901f\u5728x86\u3001x86-64\u3001ARM\u53caPowerPC\u7cfb\u7edf\u4e0a\u7684\u57fa\u7ebfJPEG\u538b\u7f29\u548c\u89e3\u538b\u7f29\u7684JPEG\u56fe\u50cf\u7f16\u89e3\u7801\u5668\u3002\r\n\r\nlibjpeg-turbo\u5b58\u5728\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\uff0c\u53ef\u901a\u8fc7\u7279\u5236JPEG\u6587\u4ef6\u5bfc\u81f4libjpeg-turbo\u4e2d\u7684jdpostct.c\u548cjquant1.c\u53d1\u751f\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u3002",
  "discovererName": "unknown",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/libjpeg-turbo/libjpeg-turbo/pull/182",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-30499",
  "openTime": "2017-10-18",
  "patchDescription": "libjpeg-turbo\u662f\u4f7f\u7528SIMD\u6307\u4ee4\uff08MMX\uff0cSSE2\uff0cAVX2\uff0cNEON\uff0cAltiVec\uff09\u6765\u52a0\u901f\u5728x86\u3001x86-64\u3001ARM\u53caPowerPC\u7cfb\u7edf\u4e0a\u7684\u57fa\u7ebfJPEG\u538b\u7f29\u548c\u89e3\u538b\u7f29\u7684JPEG\u56fe\u50cf\u7f16\u89e3\u7801\u5668\u3002\r\n\r\nlibjpeg-turbo\u5b58\u5728\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\uff0c\u53ef\u901a\u8fc7\u7279\u5236JPEG\u6587\u4ef6\u5bfc\u81f4libjpeg-turbo\u4e2d\u7684jdpostct.c\u548cjquant1.c\u53d1\u751f\u7a7a\u6307\u9488\u89e3\u5f15\u7528\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\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "libjpeg-turbo libjpeg-turbo 1.5.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-15232",
  "serverity": "\u4e2d",
  "submitTime": "2017-10-11",
  "title": "libjpeg-turbo\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e"
}


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