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ubuntuUbuntuUSN-2931-1
HistoryMar 14, 2016 - 12:00 a.m.

Linux kernel (Utopic HWE) vulnerabilities

2016-03-1400:00:00
ubuntu.com
49

CVSS2

7.2

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

COMPLETE

Integrity Impact

COMPLETE

Availability Impact

COMPLETE

AV:L/AC:L/Au:N/C:C/I:C/A:C

CVSS3

8.4

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

AI Score

8.3

Confidence

High

EPSS

0.007

Percentile

80.8%

Releases

  • Ubuntu 14.04 ESM

Packages

  • linux-lts-utopic - Linux hardware enablement kernel from Utopic for Trusty

Details

Ben Hawkes discovered that the Linux netfilter implementation did not
correctly perform validation when handling IPT_SO_SET_REPLACE events. A
local unprivileged attacker could use this to cause a denial of service
(system crash) or possibly execute arbitrary code with administrative
privileges. (CVE-2016-3134)

It was discovered that the Linux kernel did not properly enforce rlimits
for file descriptors sent over UNIX domain sockets. A local attacker could
use this to cause a denial of service. (CVE-2013-4312)

It was discovered that a race condition existed when handling heartbeat-
timeout events in the SCTP implementation of the Linux kernel. A remote
attacker could use this to cause a denial of service. (CVE-2015-8767)

Andy Lutomirski discovered a race condition in the Linux kernel’s
translation lookaside buffer (TLB) handling of flush events. A local
attacker could use this to cause a denial of service or possibly leak
sensitive information. (CVE-2016-2069)

Andrey Konovalov discovered that the ALSA USB MIDI driver incorrectly
performed a double-free. A local attacker with physical access could use
this to cause a denial of service (system crash) or possibly execute
arbitrary code with administrative privileges. (CVE-2016-2384)

Dmitry Vyukov discovered that the Advanced Linux Sound Architecture (ALSA)
framework did not verify that a FIFO was attached to a client before
attempting to clear it. A local attacker could use this to cause a denial
of service (system crash). (CVE-2016-2543)

Dmitry Vyukov discovered that a race condition existed in the Advanced
Linux Sound Architecture (ALSA) framework between timer setup and closing
of the client, resulting in a use-after-free. A local attacker could use
this to cause a denial of service. (CVE-2016-2544)

Dmitry Vyukov discovered a race condition in the timer handling
implementation of the Advanced Linux Sound Architecture (ALSA) framework,
resulting in a use-after-free. A local attacker could use this to cause a
denial of service (system crash). (CVE-2016-2545)

Dmitry Vyukov discovered race conditions in the Advanced Linux Sound
Architecture (ALSA) framework’s timer ioctls leading to a use-after-free. A
local attacker could use this to cause a denial of service (system crash)
or possibly execute arbitrary code. (CVE-2016-2546)

Dmitry Vyukov discovered that the Advanced Linux Sound Architecture (ALSA)
framework’s handling of high resolution timers did not properly manage its
data structures. A local attacker could use this to cause a denial of
service (system hang or crash) or possibly execute arbitrary code.
(CVE-2016-2547, CVE-2016-2548)

Dmitry Vyukov discovered that the Advanced Linux Sound Architecture (ALSA)
framework’s handling of high resolution timers could lead to a deadlock
condition. A local attacker could use this to cause a denial of service
(system hang). (CVE-2016-2549)

CVSS2

7.2

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

COMPLETE

Integrity Impact

COMPLETE

Availability Impact

COMPLETE

AV:L/AC:L/Au:N/C:C/I:C/A:C

CVSS3

8.4

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

AI Score

8.3

Confidence

High

EPSS

0.007

Percentile

80.8%