
Cloud Vulnerability DB
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CVE-2025-53856 is a vulnerability affecting F5's BIG-IP products when using the embedded Packet Velocity Acceleration (ePVA) feature. The vulnerability was discovered and disclosed on October 15, 2025. The issue affects virtual servers, network address translation (NAT) objects, or secure network address translation (SNAT) objects that utilize the ePVA feature. This vulnerability impacts multiple versions of BIG-IP products, including versions 15.1.x, 16.1.x, 17.1.x, and 17.5.x (NVD Database).
The vulnerability occurs when undisclosed traffic causes the Traffic Management Microkernel (TMM) to terminate when using the ePVA feature. The severity of this vulnerability has been assessed with a CVSS v3.1 Base Score of 7.5 (HIGH) with the vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H. Additionally, under CVSS v4.0, it received a score of 8.7 (HIGH) with the vector string CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N (NVD Database).
The primary impact of this vulnerability is the potential termination of the Traffic Management Microkernel (TMM), which could lead to a denial of service condition. This affects the availability of services running on affected BIG-IP devices, particularly those utilizing the ePVA feature (NVD Database).
F5 has released patches as part of their October 2025 Quarterly Security Notification. Organizations are strongly urged to update their BIG-IP software as soon as possible. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has also issued emergency directive (ED) 26-01 recommending immediate patching and hardening of public-facing BIG-IP devices (Tenable Blog).
The vulnerability disclosure coincided with F5's announcement of a security incident involving a nation-state threat actor who had gained access to their systems between August and October 2025. This context has heightened the urgency of addressing this vulnerability, with CISA issuing an emergency directive for federal agencies (Tenable Blog).
Source: This report was generated using AI
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