Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2025-58748 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Dataease Dataease. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 48% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
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.
Dataease is an open source data analytics and visualization platform whose H2 data source implementation in versions up to and including 2.10.12 fails to enforce that JDBC URLs begin with the jdbc:h2 prefix. The affected code resides in H2.java and permits an attacker-supplied JDBC configuration to substitute the Amazon Redshift driver while supplying socketFactory and socketFactoryArg parameters that reference Spring’s FileSystemXmlApplicationContext or ClassPathXmlApplicationContext classes. This deserialization flaw, tracked as CWE-502, enables loading of an arbitrary remote XML resource and yields remote code execution.
An authenticated user with the ability to configure a data source can supply the malicious JDBC string, causing the application to instantiate attacker-controlled Spring application contexts and execute arbitrary code on the server. The attack requires network access and low-privileged credentials but no user interaction, consistent with the CVSS 8.7 rating.
The project’s security advisory and the commit that introduced the fix both state that the vulnerability is resolved in Dataease 2.10.13; administrators are advised to upgrade to that release or later, as no workarounds are documented. The associated EPSS score has remained flat at 0.0161 with no material increase since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-29201
Vulnerability Data
Dataease is an open source data analytics and visualization platform. In Dataease versions up to 2.10.12 the H2 data source implementation (H2.java) does not verify that a provided JDBC URL starts with jdbc:h2. This lack of validation allows a crafted…
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JDBC configuration that substitutes the Amazon Redshift driver and leverages the socketFactory and socketFactoryArg parameters to invoke org.springframework.context.support.FileSystemXmlApplicationContext or ClassPathXmlApplicationContext with an attacker‑controlled remote XML resource, resulting in remote code execution. Versions up to and including 2.10.12 are affected. The issue is fixed in version 2.10.13. Updating to version 2.10.13 or later is the recommended remediation. No known workarounds exist.
- 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.