CVE-2019-14834
Description
A flaw was found in the Dnsmasq application where a remote attacker can trigger a memory leak by sending specially crafted DHCP responses to the server. A successful attack is dependent on a specific configuration regarding the domain name set into the dnsmasq.conf file. Over time, the memory leak may cause the process to run out of memory and terminate, causing a denial of service.
Statement
In Red Hat OpenStack Platform, which currently supports Red Hat Enterprise Linux 7.7, the dnsmasq package is pulled directly from the rhel-7-server-rpms channel. Red Hat OpenStack Platform's version is therefore unused, please ensure that the underlying Red Hat Enterprise Linux dnsmasq package is current.
Common Vulnerability Scoring System (CVSS) Score Details
Info alert:Important note
CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).
CVSS v3 Score Breakdown
| Red Hat | NVD | cve.org | |
|---|---|---|---|
| Base Score | 3.7 | 3.7 | N/A |
| Attack Vector | Network | Network | N/A |
| Attack Complexity | High | High | N/A |
| Privileges Required | None | None | N/A |
| User Interaction | None | None | N/A |
| Scope | Unchanged | Unchanged | N/A |
| Confidentiality | None | None | N/A |
| Integrity Impact | None | None | N/A |
| Availability Impact | Low | Low | N/A |
Vector
Red Hat: CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L
NVD: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L
Understanding the Weakness (CWE)
Availability
Technical Impact: DoS: Resource Consumption (CPU); DoS: Resource Consumption (Memory); DoS: Resource Consumption (Other)
When allocating resources without limits, an attacker could prevent other systems, applications, or processes from accessing the same type of resource. It can be easy for an attacker to consume many resources by rapidly making many requests or causing larger resources to be used than is needed.
Acknowledgements
Red Hat would like to thank Xu Mingjie (varas@IIE) for reporting this issue.
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