CNVD-2022-05785

Vulnerability from cnvd - Published: 2022-01-21
VLAI
Title
Apache log4j Chainsaw反序列化代码执行漏洞
Description
Apache Log4j是美国阿帕奇(Apache)基金会的一款基于Java的开源日志记录工具。 Apache log4j Chainsaw存在反序列化代码执行漏洞。该漏洞源于在启用JDBCAppender的非默认配置情况下,JDBCAppender中用户提供的数据未充分清理所致。远程攻击者可利用漏洞向受影响的应用程序发送特制请求,并在应用程序数据库中执行任意SQL命令。
Severity
高
Patch Name
Apache log4j Chainsaw反序列化代码执行漏洞的补丁
Patch Description
Apache Log4j是美国阿帕奇(Apache)基金会的一款基于Java的开源日志记录工具。 Apache log4j Chainsaw存在反序列化代码执行漏洞。该漏洞源于在启用JDBCAppender的非默认配置情况下,JDBCAppender中用户提供的数据未充分清理所致。远程攻击者可利用漏洞向受影响的应用程序发送特制请求,并在应用程序数据库中执行任意SQL命令。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

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://logging.apache.org/chainsaw/2.x/download.html

Reference
https://logging.apache.org/log4j/1.2/index.html
Impacted products
Name
['Apache Chainsaw < 2.1.0', 'Apache Log4j 1.*']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-23307",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-23307"
    }
  },
  "description": "Apache Log4j\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u57fa\u4e8eJava\u7684\u5f00\u6e90\u65e5\u5fd7\u8bb0\u5f55\u5de5\u5177\u3002\n\nApache log4j Chainsaw\u5b58\u5728\u53cd\u5e8f\u5217\u5316\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u542f\u7528JDBCAppender\u7684\u975e\u9ed8\u8ba4\u914d\u7f6e\u60c5\u51b5\u4e0b\uff0cJDBCAppender\u4e2d\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u672a\u5145\u5206\u6e05\u7406\u6240\u81f4\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5411\u53d7\u5f71\u54cd\u7684\u5e94\u7528\u7a0b\u5e8f\u53d1\u9001\u7279\u5236\u8bf7\u6c42\uff0c\u5e76\u5728\u5e94\u7528\u7a0b\u5e8f\u6570\u636e\u5e93\u4e2d\u6267\u884c\u4efb\u610fSQL\u547d\u4ee4\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://logging.apache.org/chainsaw/2.x/download.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-05785",
  "openTime": "2022-01-21",
  "patchDescription": "Apache Log4j\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u57fa\u4e8eJava\u7684\u5f00\u6e90\u65e5\u5fd7\u8bb0\u5f55\u5de5\u5177\u3002\r\n\r\nApache log4j Chainsaw\u5b58\u5728\u53cd\u5e8f\u5217\u5316\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u542f\u7528JDBCAppender\u7684\u975e\u9ed8\u8ba4\u914d\u7f6e\u60c5\u51b5\u4e0b\uff0cJDBCAppender\u4e2d\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u672a\u5145\u5206\u6e05\u7406\u6240\u81f4\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5411\u53d7\u5f71\u54cd\u7684\u5e94\u7528\u7a0b\u5e8f\u53d1\u9001\u7279\u5236\u8bf7\u6c42\uff0c\u5e76\u5728\u5e94\u7528\u7a0b\u5e8f\u6570\u636e\u5e93\u4e2d\u6267\u884c\u4efb\u610fSQL\u547d\u4ee4\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 log4j Chainsaw\u53cd\u5e8f\u5217\u5316\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apache Chainsaw \u003c 2.1.0",
      "Apache Log4j 1.*"
    ]
  },
  "referenceLink": "https://logging.apache.org/log4j/1.2/index.html",
  "serverity": "\u9ad8",
  "submitTime": "2022-01-20",
  "title": "Apache log4j Chainsaw\u53cd\u5e8f\u5217\u5316\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e"
}



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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

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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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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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