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

CNVD-2019-10144

Vulnerability from cnvd - Published: 2019-04-17
VLAI
Title
OpenJPEG除零漏洞
Description
OpenJPEG是一个C语言编写的开放源码的JPEG 2000编解码器。 OpenJPEG 2.3.0及更早版本中的lib/openjp3d/pi.c中的pi_next_pcrl、pi_next_cprl及pi_next_rpcl函数存在除零漏洞,远程攻击者可利用该漏洞导致拒绝服务(应用程序崩溃)。
Severity
Patch Name
OpenJPEG除零漏洞的补丁
Patch Description
OpenJPEG是一个C语言编写的开放源码的JPEG 2000编解码器。 OpenJPEG 2.3.0及更早版本中的lib/openjp3d/pi.c中的pi_next_pcrl、pi_next_cprl及pi_next_rpcl函数存在除零漏洞,远程攻击者可利用该漏洞导致拒绝服务(应用程序崩溃)。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/uclouvain/openjpeg/issues/1123

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-14423
Impacted products
Name
OpenJPEG OpenJPEG <=2.3.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-14423"
    }
  },
  "description": "OpenJPEG\u662f\u4e00\u4e2aC\u8bed\u8a00\u7f16\u5199\u7684\u5f00\u653e\u6e90\u7801\u7684JPEG 2000\u7f16\u89e3\u7801\u5668\u3002\n\nOpenJPEG 2.3.0\u53ca\u66f4\u65e9\u7248\u672c\u4e2d\u7684lib/openjp3d/pi.c\u4e2d\u7684pi_next_pcrl\u3001pi_next_cprl\u53capi_next_rpcl\u51fd\u6570\u5b58\u5728\u9664\u96f6\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\uff08\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff09\u3002",
  "discovererName": "unknown",
  "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/uclouvain/openjpeg/issues/1123",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-10144",
  "openTime": "2019-04-17",
  "patchDescription": "OpenJPEG\u662f\u4e00\u4e2aC\u8bed\u8a00\u7f16\u5199\u7684\u5f00\u653e\u6e90\u7801\u7684JPEG 2000\u7f16\u89e3\u7801\u5668\u3002\r\n\r\nOpenJPEG 2.3.0\u53ca\u66f4\u65e9\u7248\u672c\u4e2d\u7684lib/openjp3d/pi.c\u4e2d\u7684pi_next_pcrl\u3001pi_next_cprl\u53capi_next_rpcl\u51fd\u6570\u5b58\u5728\u9664\u96f6\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\uff08\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\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": "OpenJPEG\u9664\u96f6\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "OpenJPEG OpenJPEG \u003c=2.3.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-14423",
  "serverity": "\u4e2d",
  "submitTime": "2018-07-20",
  "title": "OpenJPEG\u9664\u96f6\u6f0f\u6d1e"
}



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…