CVE-2015-1779: High severity Qemu Qemu vulnerability
Published Jan 12, 2016
·Updated
The VNC websocket frame decoder in QEMU allows remote attackers to cause a denial of service (memory and CPU consumption) via a large (1) websocket payload or (2) HTTP headers section.
Affected Software
30 affected components
Qemu Qemu<=2.2.1
Qemu Qemu=2.3.0-rc0
Qemu Qemu=2.3.0-rc1
Canonical Ubuntu Linux=12.04
Canonical Ubuntu Linux=14.04
Canonical Ubuntu Linux=14.10
Canonical Ubuntu Linux=15.04
Debian Debian Linux=7.0
Debian Debian Linux=8.0
Fedoraproject Fedora=21
Fedoraproject Fedora=22
redhat Enterprise Linux Eus=7.1
redhat Enterprise Linux Eus=7.2
redhat Enterprise Linux Eus=7.3
redhat Enterprise Linux Eus=7.4
redhat Enterprise Linux Eus=7.5
redhat Enterprise Linux Eus=7.6
redhat Enterprise Linux Eus=7.7
redhat Enterprise Linux Server=7.0
redhat Enterprise Linux Server Aus=7.3
redhat Enterprise Linux Server Aus=7.4
redhat Enterprise Linux Server Aus=7.6
redhat Enterprise Linux Server Aus=7.7
redhat Enterprise Linux Server Tus=7.3
redhat Enterprise Linux Server Tus=7.6
redhat Enterprise Linux Server Tus=7.7
redhat Enterprise Linux Workstation=7.0
redhat Virtualization=3.0
redhat Enterprise Linux=7.0
Oracle Linux=7
Remediation
Event History
Jan 12, 2016
CVE Published
via MITRE·07:00 PM
Data Sourced
via MITRE·07:00 PM
Description
Frequently Asked Questions
1
What is the severity of CVE-2015-1779?
CVE-2015-1779 has a severity rating that indicates it can cause a denial of service due to excessive resource consumption.
2
How do I fix CVE-2015-1779?
To fix CVE-2015-1779, update QEMU to the latest available version that addresses this vulnerability.
3
Which versions of QEMU are affected by CVE-2015-1779?
CVE-2015-1779 affects QEMU versions up to and including 2.2.1, as well as 2.3.0-rc0 and 2.3.0-rc1.
4
What systems are vulnerable to CVE-2015-1779?
Systems vulnerable to CVE-2015-1779 include various versions of Ubuntu, Debian, Fedora, and Red Hat Enterprise Linux.
5
Can CVE-2015-1779 be exploited remotely?
Yes, CVE-2015-1779 can be exploited remotely through large WebSocket payloads or HTTP headers.