CVE-2026-50076
Published: 04 June 2026
Summary
CVE-2026-50076 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Apache Fory. Its CVSS base score is 9.1 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 40.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-34300
Vulnerability details
Deserialization of Untrusted Data in the Java replace-resolve path in Apache Fory fory-core Java SDK before 1.1.0 on Java/JVM platforms allows a remote attacker to bypass class registration, TypeChecker, and DisallowedList checks and invoke classpath-present readResolve/readExternal hooks via crafted Fory…
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serialized data. Users are recommended to upgrade to version 1.1.0 or later, which fixes this issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Deserialization flaw (CWE-502) directly enables remote attackers to bypass security checks and trigger arbitrary readResolve/readExternal execution on untrusted data.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.