CVE-2026-32603
Published: 05 May 2026
Summary
CVE-2026-32603 is a high-severity Improper Input Validation (CWE-20) vulnerability in Sandboxie-Plus Sandboxie. Its CVSS base score is 8.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Application or System Exploitation (T1499.004); ranked at the 4.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-27436
Vulnerability details
Sandboxie is an open source sandbox-based isolation software for Windows. In versions 1.17.2 and earlier, a local denial of service vulnerability exists in the Sandboxie kernel driver. An unprivileged process running inside a Standard Sandbox can send a malformed IOCTL…
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to the \Device\SandboxieDriverApi driver, triggering an immediate kernel crash (BSOD). The vulnerability affects the Standard Sandbox configuration both with and without dropped administrator privileges, but does not affect the Security Hardened Sandbox configuration. This issue has been fixed in version 1.17.3. Users who cannot update can use the Security Hardened Sandbox configuration as a workaround.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Malformed IOCTL to kernel driver directly enables Endpoint DoS via system exploitation resulting in BSOD.
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.
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.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.