Apache Seata Deserialization Vulnerability before 2.3.0 (CVE-2025-32897)
CVE-2025-32897 Published on June 28, 2025
Apache Seata (incubating): Deserialization of untrusted Data in Apache Seata Server
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 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.
Vulnerability Analysis
CVE-2025-32897 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be critical as this vulnerability has a high impact to the confidentiality, integrity and availability of this component.
Weakness Type
What is a Marshaling, Unmarshaling Vulnerability?
The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.
CVE-2025-32897 has been classified to as a Marshaling, Unmarshaling vulnerability or weakness.
Products Associated with CVE-2025-32897
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Affected Versions
Apache Software Foundation Apache Seata (incubating):- Version 2.0.0 and below 2.3.0 is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.