Vulnerability-Lookup

CNVD-2022-08370

Vulnerability from cnvd - Published: 2022-02-05

Title

Apache Log4j SQL注入漏洞

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 存在SQL注入漏洞，该漏洞源于Log4j 1.2.x中的JDBCAppender接受SQL语句作为配置参数，其中要插入的值是来自 PatternLayout 的转换器。消息转换器 \\%m 可能总是包含在内。攻击者可利用该漏洞通过将精心制作的字符串输入到记录的应用程序的输入字段或标题中来操纵SQL，从而允许执行意外的SQL查询。

Severity

中

Patch Name

Apache Log4j SQL注入漏洞的补丁

Patch Description

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/log4j/2.x/download.html

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-23305

Impacted products

Name
Apache Log4j >=1.2，<=1.2.17

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-23305",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-23305"
    }
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  "serverity": "\u4e2d",
  "submitTime": "2022-01-20",
  "title": "Apache Log4j SQL\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2022-23305 (GCVE-0-2022-23305)

Vulnerability from cvelistv5 – Published: 2022-01-18 15:25 – Updated: 2026-05-27 13:40

Title

SQL injection in JDBC Appender in Apache Log4j V1

Summary

By design, the JDBCAppender in Log4j 1.2.x accepts an SQL statement as a configuration parameter where the values to be inserted are converters from PatternLayout. The message converter, %m, is likely to always be included. This allows attackers to manipulate the SQL by entering crafted strings into input fields or headers of an application that are logged allowing unintended SQL queries to be executed. Note this issue only affects Log4j 1.x when specifically configured to use the JDBCAppender, which is not the default. Beginning in version 2.0-beta8, the JDBCAppender was re-introduced with proper support for parameterized SQL queries and further customization over the columns written to in logs. Apache Log4j 1.2 reached end of life in August 2015. Users should upgrade to Log4j 2 as it addresses numerous other issues from the previous versions.

Severity

9.8 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-05-22 13:32 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

apache mitre root

References

6 references

URL	Tags
https://logging.apache.org/log4j/1.2/index.html	x_refsource_MISC
https://lists.apache.org/thread/pt6lh3pbsvxqlwlp4…	x_refsource_MISC
http://www.openwall.com/lists/oss-security/2022/01/18/4	mailing-listx_refsource_MLIST
https://www.oracle.com/security-alerts/cpuapr2022.html	x_refsource_MISC
https://security.netapp.com/advisory/ntap-2022021…	x_refsource_CONFIRM
https://www.oracle.com/security-alerts/cpujul2022.html	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache Log4j 1.x	Affected: 1.2.1 , < unspecified (custom) Affected: unspecified , < 2.0-alpha1 (custom)

Credits

Daniel Martin of NCC Group

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.