CVE-2025-59952
Published: 30 September 2025
Summary
CVE-2025-59952 is a high-severity Improper Input Validation (CWE-20) vulnerability. Its CVSS base score is 8.7 (High).
Operationally, ranked at the 7.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-31590
Vulnerability details
MinIO Java SDK is a Simple Storage Service (aka S3) client to perform bucket and object operations to any Amazon S3 compatible object storage service. In minio-java versions prior to 8.6.0, XML tag values containing references to system properties or…
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environment variables were automatically substituted with their actual values during processing. This unintended behavior could lead to the exposure of sensitive information, including credentials, file paths, or system configuration details, if such references were present in XML content from untrusted sources. This is fixed in version 8.6.0.
- 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.
Directly implements checks on information inputs to reject invalid data before processing.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.
Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.
Directly prevents execution of attacker-supplied code written into data memory regions.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.