CVE Vulnerabilities

CVE-2023-22664

Uncontrolled Resource Consumption

Published: Feb 01, 2023 | Modified: Nov 07, 2023
CVSS 3.x
7.5
HIGH
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CVSS 2.x
RedHat/V2
RedHat/V3
Ubuntu

On BIG-IP versions 17.0.x before 17.0.0.2 and 16.1.x before 16.1.3.3, and BIG-IP SPK starting in version 1.6.0, when a client-side HTTP/2 profile and the HTTP MRF Router option are enabled for a virtual server, undisclosed requests can cause an increase in memory resource utilization. Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.

Weakness

The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.

Affected Software

Name Vendor Start Version End Version
Big-ip_access_policy_manager F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_access_policy_manager F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_advanced_firewall_manager F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_advanced_firewall_manager F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_analytics F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_analytics F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_application_acceleration_manager F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_application_acceleration_manager F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_application_security_manager F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_application_security_manager F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_ddos_hybrid_defender F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_ddos_hybrid_defender F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_domain_name_system F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_domain_name_system F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_fraud_protection_service F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_fraud_protection_service F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_link_controller F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_link_controller F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_local_traffic_manager F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_local_traffic_manager F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_policy_enforcement_manager F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_policy_enforcement_manager F5 17.0.0 (including) 17.0.0.2 (excluding)
Big-ip_ssl_orchestrator F5 16.1.0 (including) 16.1.3.3 (excluding)
Big-ip_ssl_orchestrator F5 17.0.0 (including) 17.0.0.2 (excluding)

Extended Description

Limited resources include memory, file system storage, database connection pool entries, and CPU. If an attacker can trigger the allocation of these limited resources, but the number or size of the resources is not controlled, then the attacker could cause a denial of service that consumes all available resources. This would prevent valid users from accessing the product, and it could potentially have an impact on the surrounding environment. For example, a memory exhaustion attack against an application could slow down the application as well as its host operating system. There are at least three distinct scenarios which can commonly lead to resource exhaustion:

Resource exhaustion problems are often result due to an incorrect implementation of the following situations:

Potential Mitigations

  • Mitigation of resource exhaustion attacks requires that the target system either:

  • The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question.

  • The second solution is simply difficult to effectively institute – and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.

References