CVE-2025-48780
Published: 06 June 2025
Summary
CVE-2025-48780 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Scshr Hr Portal. Its CVSS base score is 9.9 (Critical).
Operationally, ranked in the top 20.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
A deserialization of untrusted data vulnerability exists in the download file function of Soar Cloud HRD Human Resource Management System through version 7.3.2025.0408. The flaw, tracked as CVE-2025-48780 and assigned CWE-502, permits remote attackers to supply a crafted serialized object that results in arbitrary system command execution. It carries a CVSS 4.0 score of 9.9, reflecting network attack vector, low complexity, and no required privileges or user interaction.
Remote unauthenticated attackers can exploit the issue over the network by sending a malicious serialized payload to the affected download file endpoint, achieving full system command execution on the target server. The EPSS score remains flat at 0.0126 with no material increase since disclosure.
An advisory describing the vulnerability is available at https://zuso.ai/advisory/za-2025-05.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-17102
Vulnerability details
A deserialization of untrusted data vulnerability in the download file function of Soar Cloud HRD Human Resource Management System through version 7.3.2025.0408 allows remote attackers to execute arbitrary system commands via a crafted serialized object.
- 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.