CVE-2022-46337 (GCVE-0-2022-46337)

Vulnerability from cvelistv5 – Published: 2023-11-20 08:49 – Updated: 2025-06-10 13:44
VLAI
Title
Apache Derby: LDAP injection vulnerability in authenticator
Summary
A cleverly devised username might bypass LDAP authentication checks. In LDAP-authenticated Derby installations, this could let an attacker fill up the disk by creating junk Derby databases. In LDAP-authenticated Derby installations, this could also allow the attacker to execute malware which was visible to and executable by the account which booted the Derby server. In LDAP-protected databases which weren't also protected by SQL GRANT/REVOKE authorization, this vulnerability could also let an attacker view and corrupt sensitive data and run sensitive database functions and procedures. Mitigation: Users should upgrade to Java 21 and Derby 10.17.1.0. Alternatively, users who wish to remain on older Java versions should build their own Derby distribution from one of the release families to which the fix was backported: 10.16, 10.15, and 10.14. Those are the releases which correspond, respectively, with Java LTS versions 17, 11, and 8.
Severity
No CVSS data available.
CWE
  • LDAP Injection
Assigner
References
Impacted products
Vendor Product Version
Apache Software Foundation Apache Derby Affected: 10.1.1.0 , ≤ 10.1.3.1 (semver)
Affected: 10.2.1.6 , ≤ 10.2.2.0 (semver)
Affected: 10.3.1.4 , ≤ 10.3.3.0 (semver)
Affected: 10.4.1.3 , ≤ 10.4.2.0 (semver)
Affected: 10.5.1.1 , ≤ 10.5.3.0 (semver)
Affected: 10.6.1.0 , ≤ 10.6.2.1 (semver)
Affected: 10.7.1.1
Affected: 10.8.1.2 , ≤ 10.8.3.0 (semver)
Affected: 10.9.1.0
Affected: 10.10.1.1 , ≤ 10.10.2.0 (semver)
Affected: 10.11.1.1
Affected: 10.12.1.1
Affected: 10.13.1.1
Affected: 10.14.2.0
Affected: 10.15.1.3 , ≤ 10.15.2.0 (semver)
Affected: 10.16.1.1
Create a notification for this product.
Credits
This issue was discovered by 4ra1n and Y4tacker, who also proposed the fix.
Show details on NVD website
To clipboard 

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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.

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