GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2021-73921

Vulnerability from cnvd - Published: 2021-09-27
VLAI
Title
libjpeg空指针解引用漏洞(CNVD-2021-73921)
Description
libjpeg是一个完全用C语言编写的处理JPEG图像数据格式的自由库。 libjpeg 2020021及更早版本中的blockbitmaprequester.cpp中的BlockBitmapRequester::PullQData()函数存在空指针解引用漏洞。攻击者可利用该漏洞导致拒绝服务。
Severity
Patch Name
libjpeg空指针解引用漏洞(CNVD-2021-73921)的补丁
Patch Description
libjpeg是一个完全用C语言编写的处理JPEG图像数据格式的自由库。 libjpeg 2020021及更早版本中的blockbitmaprequester.cpp中的BlockBitmapRequester::PullQData()函数存在空指针解引用漏洞。攻击者可利用该漏洞导致拒绝服务。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

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

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-39519
Impacted products
Name
libjpeg libjpeg <=2020021
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-39519",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-39519"
    }
  },
  "description": "libjpeg\u662f\u4e00\u4e2a\u5b8c\u5168\u7528C\u8bed\u8a00\u7f16\u5199\u7684\u5904\u7406JPEG\u56fe\u50cf\u6570\u636e\u683c\u5f0f\u7684\u81ea\u7531\u5e93\u3002\n\nlibjpeg 2020021\u53ca\u66f4\u65e9\u7248\u672c\u4e2d\u7684blockbitmaprequester.cpp\u4e2d\u7684BlockBitmapRequester::PullQData()\u51fd\u6570\u5b58\u5728\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\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/thorfdbg/libjpeg",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-73921",
  "openTime": "2021-09-27",
  "patchDescription": "libjpeg\u662f\u4e00\u4e2a\u5b8c\u5168\u7528C\u8bed\u8a00\u7f16\u5199\u7684\u5904\u7406JPEG\u56fe\u50cf\u6570\u636e\u683c\u5f0f\u7684\u81ea\u7531\u5e93\u3002\r\n\r\nlibjpeg 2020021\u53ca\u66f4\u65e9\u7248\u672c\u4e2d\u7684blockbitmaprequester.cpp\u4e2d\u7684BlockBitmapRequester::PullQData()\u51fd\u6570\u5b58\u5728\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\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": "libjpeg\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\uff08CNVD-2021-73921\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "libjpeg libjpeg \u003c=2020021"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-39519",
  "serverity": "\u4e2d",
  "submitTime": "2021-09-23",
  "title": "libjpeg\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\uff08CNVD-2021-73921\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…