Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-22399 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Apache Seata. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 13% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Apache Seata versions 2.0.0 and 1.0.0 through 1.8.0 contain a deserialization of untrusted data vulnerability (CWE-502) with a CVSS 3.1 score of 9.8. The flaw resides in the Seata-Server component and is triggered when authentication is disabled and the official client SDK is not used, allowing direct submission of serialized payloads over the Seata private protocol.
An unauthenticated remote attacker can craft and send malicious bytecode that the server deserializes without validation. Successful exploitation grants the attacker the ability to execute arbitrary code, resulting in full confidentiality, integrity, and availability impact on the affected server.
Apache has published mitigation guidance in its security advisories recommending immediate upgrade to Seata 2.1.0 or 1.8.1. The current and peak EPSS scores both stand at 0.7829, indicating sustained exploitation interest since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-2706
Vulnerability Data
Deserialization of Untrusted Data vulnerability in Apache Seata. When developers disable authentication on the Seata-Server and do not use the Seata client SDK dependencies, they may construct uncontrolled serialized malicious requests by directly sending bytecode based on the Seata private…
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protocol. This issue affects Apache Seata: 2.0.0, from 1.0.0 through 1.8.0. Users are recommended to upgrade to version 2.1.0/1.8.1, which fixes the issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can uncover deserialization flaws before deployment.
Input validation directly stops deserialization of untrusted data by ensuring inputs are valid before processing.
Engineering principles such as safe deserialization and input sanitization structurally prevent the weakness from being introduced.
Integrity verification tools can detect malformed or tampered serialized data after the fact.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.
Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.
Mandatory malware scanning of data received over networks or storage media intercepts malicious serialized payloads before they are deserialized by the target application.