CVE Vulnerabilities

CVE-2023-30570

Uncontrolled Resource Consumption

Published: May 29, 2023 | Modified: Jan 14, 2025
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
7.5 IMPORTANT
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Ubuntu
MEDIUM

pluto in Libreswan before 4.11 allows a denial of service (responder SPI mishandling and daemon crash) via unauthenticated IKEv1 Aggressive Mode packets. The earliest affected version is 3.28.

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
Libreswan Libreswan 3.28 (including) 4.10 (including)
Libreswan Ubuntu bionic *
Libreswan Ubuntu kinetic *
Libreswan Ubuntu lunar *
Libreswan Ubuntu mantic *
Libreswan Ubuntu trusty *
Libreswan Ubuntu xenial *
Red Hat Enterprise Linux 8 RedHat libreswan-0:4.5-1.el8_7.1 *
Red Hat Enterprise Linux 8.1 Update Services for SAP Solutions RedHat libreswan-0:3.29-7.el8_1.2 *
Red Hat Enterprise Linux 8.2 Advanced Update Support RedHat libreswan-0:3.29-7.el8_2.2 *
Red Hat Enterprise Linux 8.2 Telecommunications Update Service RedHat libreswan-0:3.29-7.el8_2.2 *
Red Hat Enterprise Linux 8.2 Update Services for SAP Solutions RedHat libreswan-0:3.29-7.el8_2.2 *
Red Hat Enterprise Linux 8.4 Extended Update Support RedHat libreswan-0:4.3-6.el8_4.1 *
Red Hat Enterprise Linux 8.6 Extended Update Support RedHat libreswan-0:4.5-1.el8_6.1 *
Red Hat Enterprise Linux 9 RedHat libreswan-0:4.6-3.el9_1.1 *
Red Hat Enterprise Linux 9.0 Extended Update Support RedHat libreswan-0:4.6-3.el9_0.1 *
Red Hat OpenShift Container Platform 4.15 RedHat libreswan-0:4.6-3.el9_0.3 *
Red Hat OpenShift Container Platform 4.16 RedHat libreswan-0:4.6-3.el9_0.3 *
Red Hat OpenShift Container Platform 4.17 RedHat libreswan-0:4.6-3.el9_0.3 *

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