CVE-2025-0128
Published: 11 April 2025
Summary
CVE-2025-0128 is a high-severity Improper Check for Unusual or Exceptional Conditions (CWE-754) vulnerability in Paloaltonetworks (inferred from references). Its CVSS base score is 8.7 (High).
Operationally, ranked at the 41.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-15133
Vulnerability details
A denial-of-service (DoS) vulnerability in the Simple Certificate Enrollment Protocol (SCEP) authentication feature of Palo Alto Networks PAN-OS® software enables an unauthenticated attacker to initiate system reboots using a maliciously crafted packet. Repeated attempts to initiate a reboot causes the…
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firewall to enter maintenance mode. Cloud NGFW is not affected by this vulnerability. Prisma® Access software is proactively patched and protected from this issue.
- 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.
Requires detection and response to audit logging failures as an unusual or exceptional condition.
Implements detection of unusual or exceptional conditions followed by safe mode entry, reducing the window for exploitation of unchecked conditions.
Training ensures users perform required checks for unusual or exceptional conditions as part of contingency roles, limiting attacker leverage from skipped validations.
IR testing directly validates checks for unusual or exceptional conditions that could indicate security incidents.
Requires ongoing monitoring of organization-defined metrics and analysis, enabling checks for unusual or exceptional conditions.
Security testing routinely checks for unusual or exceptional inputs/conditions, identifying missing validation steps that flaw remediation then resolves.
Requires detection of unusual conditions followed by a controlled transition to the defined failure state.
MTTF determination forces explicit checks for conditions that precede predictable component failure.