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osvGoogleOSV:USN-5915-1
HistoryMar 03, 2023 - 12:52 a.m.

linux-oem-6.1 vulnerabilities

2023-03-0300:52:26
Google
osv.dev
13
ulp subsystem
netfilter subsystem
vmware virtual gpu drm driver
intel i915 graphics driver
dvb core driver
nfsd implementation
network queuing discipline
prctl syscall implementation
ksmbd implementation
advanced linux sound architecture (alsa) subsystem
class-based queuing discipline
atm vc queuing discipline

CVSS3

7.9

Attack Vector

ADJACENT

Attack Complexity

HIGH

Privileges Required

LOW

User Interaction

NONE

Scope

CHANGED

Confidentiality Impact

LOW

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:A/AC:H/PR:L/UI:N/S:C/C:L/I:H/A:H

AI Score

8.9

Confidence

High

EPSS

0.005

Percentile

76.0%

It was discovered that the Upper Level Protocol (ULP) subsystem in the
Linux kernel did not properly handle sockets entering the LISTEN state in
certain protocols, leading to a use-after-free vulnerability. A local
attacker could use this to cause a denial of service (system crash) or
possibly execute arbitrary code. (CVE-2023-0461)

Davide Ornaghi discovered that the netfilter subsystem in the Linux kernel
did not properly handle VLAN headers in some situations. A local attacker
could use this to cause a denial of service (system crash) or possibly
execute arbitrary code. (CVE-2023-0179)

Ziming Zhang discovered that the VMware Virtual GPU DRM driver in the Linux
kernel contained an out-of-bounds write vulnerability. A local attacker
could use this to cause a denial of service (system crash).
(CVE-2022-36280)

Zheng Wang discovered that the Intel i915 graphics driver in the Linux
kernel did not properly handle certain error conditions, leading to a
double-free. A local attacker could possibly use this to cause a denial of
service (system crash). (CVE-2022-3707)

Hyunwoo Kim discovered that the DVB Core driver in the Linux kernel did not
properly perform reference counting in some situations, leading to a use-
after-free vulnerability. A local attacker could use this to cause a denial
of service (system crash) or possibly execute arbitrary code.
(CVE-2022-41218)

It was discovered that the NFSD implementation in the Linux kernel
contained a use-after-free vulnerability. A remote attacker could possibly
use this to cause a denial of service (system crash) or execute arbitrary
code. (CVE-2022-4379)

It was discovered that the network queuing discipline implementation in the
Linux kernel contained a null pointer dereference in some situations. A
local attacker could use this to cause a denial of service (system crash).
(CVE-2022-47929)

José Oliveira and Rodrigo Branco discovered that the prctl syscall
implementation in the Linux kernel did not properly protect against
indirect branch prediction attacks in some situations. A local attacker
could possibly use this to expose sensitive information. (CVE-2023-0045)

It was discovered that the KSMBD implementation in the Linux kernel did not
properly validate buffer lengths, leading to a heap-based buffer overflow.
A remote attacker could possibly use this to cause a denial of service
(system crash). (CVE-2023-0210)

It was discovered that a use-after-free vulnerability existed in the
Advanced Linux Sound Architecture (ALSA) subsystem. A local attacker could
use this to cause a denial of service (system crash). (CVE-2023-0266)

Kyle Zeng discovered that the class-based queuing discipline implementation
in the Linux kernel contained a type confusion vulnerability in some
situations. An attacker could use this to cause a denial of service (system
crash). (CVE-2023-23454)

Kyle Zeng discovered that the ATM VC queuing discipline implementation in
the Linux kernel contained a type confusion vulnerability in some
situations. An attacker could use this to cause a denial of service (system
crash). (CVE-2023-23455)

CVSS3

7.9

Attack Vector

ADJACENT

Attack Complexity

HIGH

Privileges Required

LOW

User Interaction

NONE

Scope

CHANGED

Confidentiality Impact

LOW

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:A/AC:H/PR:L/UI:N/S:C/C:L/I:H/A:H

AI Score

8.9

Confidence

High

EPSS

0.005

Percentile

76.0%