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CNVD-2025-20868

Vulnerability from cnvd - Published: 2025-09-09
VLAI
Title
Apache Log4cxx输入验证错误漏洞(CNVD-2025-20868)
Description
Apache Log4cxx是美国阿帕奇(Apache)基金会的一个以Apache log4j为模式的C++ 日志框架。 Apache Log4cxx 1.5.0之前版本存在输入验证错误漏洞,该漏洞源于JSONLayout未正确转义所有有效载荷字节,攻击者可利用该漏洞导致日志解析错误。
Severity
Patch Name
Apache Log4cxx输入验证错误漏洞(CNVD-2025-20868)的补丁
Patch Description
Apache Log4cxx是美国阿帕奇(Apache)基金会的一个以Apache log4j为模式的C++ 日志框架。 Apache Log4cxx 1.5.0之前版本存在输入验证错误漏洞,该漏洞源于JSONLayout未正确转义所有有效载荷字节,攻击者可利用该漏洞导致日志解析错误。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://logging.apache.org/security.html#CVE

Reference
https://logging.apache.org/security.html#CVE-2025-54813
Impacted products
Name
Apache Log4cxx <1.5.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-54813",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-54813"
    }
  },
  "description": "Apache Log4cxx\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u4e2a\u4ee5Apache log4j\u4e3a\u6a21\u5f0f\u7684C++ \u65e5\u5fd7\u6846\u67b6\u3002\n\nApache Log4cxx 1.5.0\u4e4b\u524d\u7248\u672c\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eJSONLayout\u672a\u6b63\u786e\u8f6c\u4e49\u6240\u6709\u6709\u6548\u8f7d\u8377\u5b57\u8282\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u65e5\u5fd7\u89e3\u6790\u9519\u8bef\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://logging.apache.org/security.html#CVE",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-20868",
  "openTime": "2025-09-09",
  "patchDescription": "Apache Log4cxx\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u4e2a\u4ee5Apache log4j\u4e3a\u6a21\u5f0f\u7684C++ \u65e5\u5fd7\u6846\u67b6\u3002\r\n\r\nApache Log4cxx 1.5.0\u4e4b\u524d\u7248\u672c\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eJSONLayout\u672a\u6b63\u786e\u8f6c\u4e49\u6240\u6709\u6709\u6548\u8f7d\u8377\u5b57\u8282\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u65e5\u5fd7\u89e3\u6790\u9519\u8bef\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": "Apache Log4cxx\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2025-20868\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Log4cxx \u003c1.5.0"
  },
  "referenceLink": "https://logging.apache.org/security.html#CVE-2025-54813",
  "serverity": "\u9ad8",
  "submitTime": "2025-08-26",
  "title": "Apache Log4cxx\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2025-20868\uff09"
}



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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.

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.

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Detection rules are retrieved from Rulezet.

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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.


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