CVE-2025-47771
Published: 20 June 2025
Summary
CVE-2025-47771 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability. Its CVSS base score is 8.1 (High).
Operationally, ranked in the top 32.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-18706
Vulnerability details
PowSyBl (Power System Blocks) is a framework to build power system oriented software. In versions 6.3.0 to 6.7.1, there is a deserialization issue in the read method of the SparseMatrix class that can lead to a wide range of privilege…
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escalations depending on the circumstances. This method takes in an InputStream and returns a SparseMatrix object. This issue has been patched in com.powsybl:powsybl-math: 6.7.2. A workaround for this issue involves not using SparseMatrix deserialization (SparseMatrix.read(...) methods).
- 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.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.