CVE Vulnerabilities

CVE-2020-8616

Uncontrolled Resource Consumption

Published: May 19, 2020 | Modified: Nov 07, 2023
CVSS 3.x
8.6
HIGH
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H
CVSS 2.x
5 MEDIUM
AV:N/AC:L/Au:N/C:N/I:N/A:P
RedHat/V2
RedHat/V3
8.6 IMPORTANT
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H
Ubuntu
MEDIUM

A malicious actor who intentionally exploits this lack of effective limitation on the number of fetches performed when processing referrals can, through the use of specially crafted referrals, cause a recursing server to issue a very large number of fetches in an attempt to process the referral. This has at least two potential effects: The performance of the recursing server can potentially be degraded by the additional work required to perform these fetches, and The attacker can exploit this behavior to use the recursing server as a reflector in a reflection attack with a high amplification factor.

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
Bind Isc 9.0.0 (including) 9.11.18 (including)
Bind Isc 9.12.0 (including) 9.12.4 (including)
Bind Isc 9.13.0 (including) 9.13.7 (including)
Bind Isc 9.14.0 (including) 9.14.11 (including)
Bind Isc 9.15.0 (including) 9.15.6 (including)
Bind Isc 9.16.0 (including) 9.16.2 (including)
Bind Isc 9.17.0 (including) 9.17.1 (including)
Bind Isc 9.12.4-p1 (including) 9.12.4-p1 (including)
Bind Isc 9.12.4-p2 (including) 9.12.4-p2 (including)
Red Hat Enterprise Linux 6 RedHat bind-32:9.8.2-0.68.rc1.el6_10.7 *
Red Hat Enterprise Linux 6.5 Advanced Update Support RedHat bind-32:9.8.2-0.23.rc1.el6_5.9 *
Red Hat Enterprise Linux 6.6 Advanced Update Support RedHat bind-32:9.8.2-0.30.rc1.el6_6.11 *
Red Hat Enterprise Linux 7 RedHat bind-32:9.11.4-16.P2.el7_8.6 *
Red Hat Enterprise Linux 7.2 Advanced Update Support RedHat bind-32:9.9.4-29.el7_2.9 *
Red Hat Enterprise Linux 7.3 Advanced Update Support RedHat bind-32:9.9.4-50.el7_3.4 *
Red Hat Enterprise Linux 7.3 Telco Extended Update Support RedHat bind-32:9.9.4-50.el7_3.4 *
Red Hat Enterprise Linux 7.3 Update Services for SAP Solutions RedHat bind-32:9.9.4-50.el7_3.4 *
Red Hat Enterprise Linux 7.4 Advanced Update Support RedHat bind-32:9.9.4-51.el7_4.4 *
Red Hat Enterprise Linux 7.4 Telco Extended Update Support RedHat bind-32:9.9.4-51.el7_4.4 *
Red Hat Enterprise Linux 7.4 Update Services for SAP Solutions RedHat bind-32:9.9.4-51.el7_4.4 *
Red Hat Enterprise Linux 7.6 Extended Update Support RedHat bind-32:9.9.4-74.el7_6.4 *
Red Hat Enterprise Linux 7.7 Extended Update Support RedHat bind-32:9.11.4-9.P2.el7_7.2 *
Red Hat Enterprise Linux 8 RedHat bind-32:9.11.13-5.el8_2 *
Red Hat Enterprise Linux 8 RedHat bind-32:9.11.13-5.el8_2 *
Red Hat Enterprise Linux 8.0 Update Services for SAP Solutions RedHat bind-32:9.11.4-19.P2.el8_0 *
Red Hat Enterprise Linux 8.1 Extended Update Support RedHat bind-32:9.11.4-26.P2.el8_1.3 *
Bind9 Ubuntu bionic *
Bind9 Ubuntu devel *
Bind9 Ubuntu eoan *
Bind9 Ubuntu focal *
Bind9 Ubuntu trusty *
Bind9 Ubuntu trusty/esm *
Bind9 Ubuntu xenial *

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