CVE-2025-53606: CWE-502 Deserialization of Untrusted Data in Apache Software Foundation Apache Seata (incubating)
Deserialization of Untrusted Data vulnerability in Apache Seata (incubating). This issue affects Apache Seata (incubating): 2.4.0. Users are recommended to upgrade to version 2.5.0, which fixes the issue.
AI Analysis
Technical Summary
CVE-2025-53606 is a vulnerability classified under CWE-502, which pertains to the deserialization of untrusted data in Apache Seata (incubating) version 2.4.0. Apache Seata is an open-source distributed transaction solution that provides high-performance and easy-to-use distributed transaction services under a microservices architecture. The vulnerability arises when the application deserializes data from untrusted sources without proper validation or sanitization. Deserialization is the process of converting data from a byte stream back into an object. If this process is insecure, attackers can craft malicious serialized objects that, when deserialized, can lead to arbitrary code execution, denial of service, or other malicious activities. In this case, the flaw exists in version 2.4.0 of Apache Seata, and it has been addressed in version 2.5.0. Although no known exploits are currently reported in the wild, the nature of deserialization vulnerabilities typically allows attackers to execute arbitrary code remotely, potentially compromising the confidentiality, integrity, and availability of affected systems. The lack of a CVSS score indicates that the vulnerability is newly published and not yet fully assessed, but the technical details confirm the critical nature of this flaw due to its potential impact on distributed transaction systems that rely on Apache Seata.
Potential Impact
For European organizations, the impact of this vulnerability can be significant, especially for enterprises relying on microservices architectures and distributed transaction management using Apache Seata. Exploitation could allow attackers to execute arbitrary code within the context of the affected application, leading to unauthorized data access, data corruption, or service disruption. This could affect financial institutions, e-commerce platforms, and any critical infrastructure leveraging Apache Seata for transaction consistency. The distributed nature of Seata means that a successful attack could propagate across multiple services, amplifying the damage. Additionally, given the increasing adoption of cloud-native and microservices-based applications in Europe, the risk surface is expanding. Organizations may face regulatory repercussions under GDPR if personal data confidentiality is compromised. The absence of known exploits currently provides a window for proactive mitigation, but the potential for rapid exploitation once public proof-of-concept code emerges is high.
Mitigation Recommendations
European organizations should immediately assess their use of Apache Seata and identify any deployments running version 2.4.0. The primary mitigation is to upgrade to Apache Seata version 2.5.0 or later, which contains the fix for this vulnerability. Beyond upgrading, organizations should implement strict input validation and deserialization controls, such as using allowlists for classes during deserialization or employing safer serialization frameworks that do not allow arbitrary code execution. Network segmentation and application-layer firewalls can help limit exposure by restricting access to services that perform deserialization. Monitoring and logging deserialization activities can provide early detection of exploitation attempts. Additionally, organizations should review their incident response plans to prepare for potential exploitation scenarios. Given the distributed nature of Seata, coordinated patching across all microservices is essential to prevent lateral movement by attackers.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Denmark, Ireland
CVE-2025-53606: CWE-502 Deserialization of Untrusted Data in Apache Software Foundation Apache Seata (incubating)
Description
Deserialization of Untrusted Data vulnerability in Apache Seata (incubating). This issue affects Apache Seata (incubating): 2.4.0. Users are recommended to upgrade to version 2.5.0, which fixes the issue.
AI-Powered Analysis
Technical Analysis
CVE-2025-53606 is a vulnerability classified under CWE-502, which pertains to the deserialization of untrusted data in Apache Seata (incubating) version 2.4.0. Apache Seata is an open-source distributed transaction solution that provides high-performance and easy-to-use distributed transaction services under a microservices architecture. The vulnerability arises when the application deserializes data from untrusted sources without proper validation or sanitization. Deserialization is the process of converting data from a byte stream back into an object. If this process is insecure, attackers can craft malicious serialized objects that, when deserialized, can lead to arbitrary code execution, denial of service, or other malicious activities. In this case, the flaw exists in version 2.4.0 of Apache Seata, and it has been addressed in version 2.5.0. Although no known exploits are currently reported in the wild, the nature of deserialization vulnerabilities typically allows attackers to execute arbitrary code remotely, potentially compromising the confidentiality, integrity, and availability of affected systems. The lack of a CVSS score indicates that the vulnerability is newly published and not yet fully assessed, but the technical details confirm the critical nature of this flaw due to its potential impact on distributed transaction systems that rely on Apache Seata.
Potential Impact
For European organizations, the impact of this vulnerability can be significant, especially for enterprises relying on microservices architectures and distributed transaction management using Apache Seata. Exploitation could allow attackers to execute arbitrary code within the context of the affected application, leading to unauthorized data access, data corruption, or service disruption. This could affect financial institutions, e-commerce platforms, and any critical infrastructure leveraging Apache Seata for transaction consistency. The distributed nature of Seata means that a successful attack could propagate across multiple services, amplifying the damage. Additionally, given the increasing adoption of cloud-native and microservices-based applications in Europe, the risk surface is expanding. Organizations may face regulatory repercussions under GDPR if personal data confidentiality is compromised. The absence of known exploits currently provides a window for proactive mitigation, but the potential for rapid exploitation once public proof-of-concept code emerges is high.
Mitigation Recommendations
European organizations should immediately assess their use of Apache Seata and identify any deployments running version 2.4.0. The primary mitigation is to upgrade to Apache Seata version 2.5.0 or later, which contains the fix for this vulnerability. Beyond upgrading, organizations should implement strict input validation and deserialization controls, such as using allowlists for classes during deserialization or employing safer serialization frameworks that do not allow arbitrary code execution. Network segmentation and application-layer firewalls can help limit exposure by restricting access to services that perform deserialization. Monitoring and logging deserialization activities can provide early detection of exploitation attempts. Additionally, organizations should review their incident response plans to prepare for potential exploitation scenarios. Given the distributed nature of Seata, coordinated patching across all microservices is essential to prevent lateral movement by attackers.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- apache
- Date Reserved
- 2025-07-05T15:05:07.225Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 6895c441ad5a09ad0002032f
Added to database: 8/8/2025, 9:32:49 AM
Last enriched: 8/8/2025, 9:47:53 AM
Last updated: 8/9/2025, 8:12:55 AM
Views: 13
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