CVE Vulnerabilities

CVE-2018-14645

Out-of-bounds Read

Published: Sep 21, 2018 | Modified: Nov 07, 2023
CVSS 3.x
7.5
HIGH
Source:
NVD
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/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
7.5 IMPORTANT
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Ubuntu
MEDIUM

A flaw was discovered in the HPACK decoder of HAProxy, before 1.8.14, that is used for HTTP/2. An out-of-bounds read access in hpack_valid_idx() resulted in a remote crash and denial of service.

Weakness

The product reads data past the end, or before the beginning, of the intended buffer.

Affected Software

Name Vendor Start Version End Version
Haproxy Haproxy * 1.8.14 (including)
Haproxy Ubuntu bionic *
Haproxy Ubuntu upstream *
Red Hat OpenShift Container Platform 3.10 RedHat haproxy-0:1.8.14-2.el7 *
Red Hat OpenShift Container Platform 3.9 RedHat atomic-openshift-0:3.9.60-1.git.0.f8b38ff.el7 *
Red Hat OpenShift Container Platform 3.9 RedHat atomic-openshift-dockerregistry-0:3.9.60-1.git.353.1da3b27.el7 *
Red Hat OpenShift Container Platform 3.9 RedHat atomic-openshift-web-console-0:3.9.60-1.git.277.be8dbdd.el7 *
Red Hat OpenShift Container Platform 3.9 RedHat golang-github-prometheus-node_exporter-0:3.9.60-1.git.1063.df94c95.el7 *
Red Hat OpenShift Container Platform 3.9 RedHat haproxy-0:1.8.14-2.el7 *
Red Hat OpenShift Container Platform 3.9 RedHat openshift-ansible-0:3.9.60-1.git.0.f0ebfaa.el7 *
Red Hat OpenShift Container Platform 3.9 RedHat rubygem-ffi-0:1.9.25-4.el7_5 *
Red Hat Software Collections for Red Hat Enterprise Linux 7 RedHat rh-haproxy18-haproxy-0:1.8.4-3.el7 *
Red Hat Software Collections for Red Hat Enterprise Linux 7.3 EUS RedHat rh-haproxy18-haproxy-0:1.8.4-3.el7 *
Red Hat Software Collections for Red Hat Enterprise Linux 7.4 EUS RedHat rh-haproxy18-haproxy-0:1.8.4-3.el7 *
Red Hat Software Collections for Red Hat Enterprise Linux 7.5 EUS RedHat rh-haproxy18-haproxy-0:1.8.4-3.el7 *

Potential Mitigations

  • Assume all input is malicious. Use an “accept known good” input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
  • When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, “boat” may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as “red” or “blue.”
  • Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code’s environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
  • To reduce the likelihood of introducing an out-of-bounds read, ensure that you validate and ensure correct calculations for any length argument, buffer size calculation, or offset. Be especially careful of relying on a sentinel (i.e. special character such as NUL) in untrusted inputs.

References