CVE-2026-41862
Published: 23 June 2026
Summary
CVE-2026-41862 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 34.0th 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-2026-38596
Vulnerability details
Spring Statemachine's Kryo-based persistence backends (JPA, MongoDB, Redis and ZooKeeper) deserialise persisted state-machine contexts without enforcing a class allowlist (CWE-502, deserialisation of untrusted data), which can lead to remote code execution inside the application JVM. Affected versions: Spring Statemachine 4.0.0…
more
through 4.0.1 Spring Statemachine 3.2.0 through 3.2.4
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Unsafe Kryo deserialization (CWE-502) in a server-side persistence layer directly enables remote code execution against a public-facing Spring application.
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.