CVE-2025-32897
Published: 28 June 2025
Summary
CVE-2025-32897 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Apache Seata. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 32.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-19540
Vulnerability details
Deserialization of Untrusted Data vulnerability in Apache Seata (incubating). This security vulnerability is the same as CVE-2024-47552, but the version range described in the CVE-2024-47552 definition is too narrow. This issue affects Apache Seata (incubating): from 2.0.0 before 2.3.0. Severity…
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Justification: The Apache Seata security team assesses the severity of this vulnerability as "Low" due to stringent real-world mitigating factors. First, the vulnerability is strictly isolated to the Raft cluster mode, an optional and non-default feature introduced in v2.0.0, while most users rely on the unaffected traditional architecture. Second, Seata is an internal middleware; communication between TC and RM/TM occurs entirely within trusted internal networks. An attacker would require prior, unauthorized access to the Intranet to exploit this, making external exploitation highly improbable. Users are recommended to upgrade to version 2.3.0, which fixes the issue.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.