Remote code execution via unfiltered object deserialization
Published Feb 14, 2025 · Updated Feb 14, 2025
Deserialization in Apache Ignite 2.6.0 and later, before 2.17.0, allows remote attackers to execute arbitrary code via crafted messages. IgniteKernal fails to install the configured IgniteMarshallerClassFilter as the JVM ObjectInputFilter, so some endpoints deserialize classes that policy should reject. The target class must already exist on the server classpath, and successful deserialization runs code in the server process.
Summary
What happened
Deserialization in Apache Ignite 2.6.0 and later, before 2.17.0, allows remote attackers to execute arbitrary code via crafted messages. IgniteKernal fails to install the configured IgniteMarshallerClassFilter as the JVM ObjectInputFilter, so some endpoints deserialize classes that policy should reject. The target class must already exist on the server classpath, and successful deserialization runs code in the server process.
The record
- CVE
- CVE-2024-52577
- Published
- Feb 14, 2025
- Updated
- Feb 14, 2025
- Vendor
- The Apache Software Foundation
- Product
- Apache Ignite
- Classifications
- CWE-502, T1190
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Feb 14, 2025CVE publishedPublication date reported by the CVE source.
- Feb 14, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=2.6.0 <2.17.0
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
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
- SecureLayer7 Apache Ignite deserialization exploitfunctional · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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