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

CNVD-2020-49524

Vulnerability from cnvd - Published: 2020-08-24
VLAI
Title
Oniguruma资源管理错误漏洞
Description
Oniguruma是一款开源的正则表达式库。 Oniguruma 6.9.3之前版本中存在资源管理错误漏洞。该漏洞源于网络系统或产品对系统资源(如内存、磁盘空间、文件等)的管理不当。目前没有详细漏洞细节提供。
Severity
Patch Name
Oniguruma资源管理错误漏洞的补丁
Patch Description
Oniguruma是一款开源的正则表达式库。 Oniguruma 6.9.3之前版本中存在资源管理错误漏洞。该漏洞源于网络系统或产品对系统资源(如内存、磁盘空间、文件等)的管理不当。目前没有详细漏洞细节提供。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://github.com/kkos/oniguruma/commit/4097828d7cc87589864fecf452f2cd46c5f37180

Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-16163
Impacted products
Name
Oniguruma Oniguruma <6.9.3
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-16163",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-16163"
    }
  },
  "description": "Oniguruma\u662f\u4e00\u6b3e\u5f00\u6e90\u7684\u6b63\u5219\u8868\u8fbe\u5f0f\u5e93\u3002\n\nOniguruma 6.9.3\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u5bf9\u7cfb\u7edf\u8d44\u6e90\uff08\u5982\u5185\u5b58\u3001\u78c1\u76d8\u7a7a\u95f4\u3001\u6587\u4ef6\u7b49\uff09\u7684\u7ba1\u7406\u4e0d\u5f53\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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://github.com/kkos/oniguruma/commit/4097828d7cc87589864fecf452f2cd46c5f37180",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-49524",
  "openTime": "2020-08-24",
  "patchDescription": "Oniguruma\u662f\u4e00\u6b3e\u5f00\u6e90\u7684\u6b63\u5219\u8868\u8fbe\u5f0f\u5e93\u3002\r\n\r\nOniguruma 6.9.3\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u5bf9\u7cfb\u7edf\u8d44\u6e90\uff08\u5982\u5185\u5b58\u3001\u78c1\u76d8\u7a7a\u95f4\u3001\u6587\u4ef6\u7b49\uff09\u7684\u7ba1\u7406\u4e0d\u5f53\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "Oniguruma\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Oniguruma Oniguruma \u003c6.9.3"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-16163",
  "serverity": "\u4e2d",
  "submitTime": "2020-08-20",
  "title": "Oniguruma\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\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…