Cyber Resilience

CVE-2025-36171

DoS in Ibm Aspera Faspex 5.0.0 – 5.0.14

Published
09 October 2025
Modified
14 October 2025
Patch / advisory
CVSS Score v3.1 4.9
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0030 22th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2025-36171 is a medium-severity Allocation of Resources Without Limits or Throttling (CWE-770) vulnerability in Ibm Aspera Faspex. Its CVSS base score is 4.9 (Medium).

Operationally, ranked at the 22th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SC-5 (Denial-of-service Protection) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

IBM Aspera Faspex 5.0.0 through 5.0.13.1 could allow a privileged user to cause a denial of service from improperly validated API input due to excessive resource consumption.

CWE(s)

Related Threats

CVEs Like This One

CVE-2022-47986Same product: Ibm Aspera Faspex
CVE-2023-22868Same product: Ibm Aspera Faspex
CVE-2023-27875Same product: Ibm Aspera Faspex
CVE-2025-3221Same product: Linux Linux Kernel
CVE-2024-31880Same product: Linux Linux Kernel
CVE-2025-36047Same product: Linux Linux Kernel
CVE-2026-56170Same product: Linux Linux Kernel
CVE-2024-45669Same product: Linux Linux Kernel
CVE-2023-26021Same product: Linux Linux Kernel
CVE-2023-29257Same product: Linux Linux Kernel

Affected Assets

ibm
aspera faspex
5.0.0 — 5.0.14

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • SI-10 Information Input Validation
  • SC-5 Denial-of-service Protection
  • SC-6 Resource Availability
Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)
  • 5 hardening rules · 3 OS baselines
Validate
Prove the fix (OWASP ASVS)
  • V15.4.4

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly requires validation of API inputs to reject malformed or excessive requests before they trigger resource exhaustion.

prevent

Mandates denial-of-service protection mechanisms such as resource quotas and throttling to block privileged-user API abuse.

prevent

Requires management of system resources to limit allocation per request and thereby mitigate CWE-770 exhaustion.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.IR-04 mostly match
degrades

Monitoring capacity and taking action to maintain availability directly reduces unchecked resource allocation.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

detects

Baseline comparison of CPU, memory and bandwidth usage helps surface uncontrolled resource allocations before they cause service degradation.

prevents

Capacity projections and elasticity measures ensure that allocation requests are bounded and can be throttled, reducing the window in which an attacker can force unbounded resource reservations.

mitigates

Defining retention periods and deletion schedules for backup copies prevents indefinite accumulation of data on storage media without corresponding resource-management controls.

mitigates

Architectural redundancy and automatic failover limit the impact of an attacker who forces excessive allocations, because spare capacity can absorb the load until the primary instance recovers.

none

Documented incident response procedures that include activation of continuity plans and controlled recovery help ensure that resource consumption triggered by an incident is bounded and managed rather than left unbounded.

none

Mandating tested continuity procedures that preserve or replace resource-limiting controls prevents an attacker from exploiting the absence of throttling mechanisms during an outage.

References