Unauthenticated code execution via unrestricted OGNL classes
Published Jun 5, 2020 · Updated Aug 4, 2024
Code injection in Apache Unomi 1.0.0 through 1.5.0 allows remote attackers to execute commands through crafted personalization conditions. The /context.json handler passes attacker-controlled profilePropertyCondition parameters to OGNL, whose unrestricted class resolution exposes Java Runtime execution. No authentication or user interaction is required; commands run with the permissions of the Unomi Java process.
Summary
What happened
Code injection in Apache Unomi 1.0.0 through 1.5.0 allows remote attackers to execute commands through crafted personalization conditions. The /context.json handler passes attacker-controlled profilePropertyCondition parameters to OGNL, whose unrestricted class resolution exposes Java Runtime execution. No authentication or user interaction is required; commands run with the permissions of the Unomi Java process.
The record
- CVE
- CVE-2020-11975
- Published
- Jun 5, 2020
- Updated
- Aug 4, 2024
- Vendor
- The Apache Software Foundation
- Product
- Apache Unomi
- Classifications
- T1059
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Jun 5, 2020CVE publishedPublication date reported by the CVE source.
- Aug 4, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
Compare your product and version with the public record. A matching version still requires validation against your environment.
Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=Apache Unomi 1.0.0 to 1.5.0
What conditions does exploitation require?
What is affected?
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- Apache SecurityIT OGNL injection regression testproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
See the directory against your own environment.
Your stack
Check the software in your environment
Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.
Book a demo