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HistoryFeb 15, 2024 - 3:33 a.m.

linux-oem-6.1 vulnerabilities

2024-02-1503:33:26
Google
osv.dev
11
linux
oem 6.1
kernel
vulnerabilities
race condition
use-after-free
denial of service
execute arbitrary code
cve-2023
cve-2024
out-of-bounds read
appletalk
networking
subsystem
rose x.25
protocol
implementation
nvme-of/tcp
io_uring
sockets
netfilter
igmp
cifs
tls
spliced messages
ksmbd

7.8 High

CVSS3

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

8 High

AI Score

Confidence

High

0.003 Low

EPSS

Percentile

67.8%

It was discovered that a race condition existed in the ATM (Asynchronous
Transfer Mode) subsystem of the Linux kernel, 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-2023-51780)

It was discovered that a race condition existed in the AppleTalk networking
subsystem of the Linux kernel, 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-2023-51781)

It was discovered that a race condition existed in the Rose X.25 protocol
implementation in the Linux kernel, 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-2023-51782)

Alon Zahavi discovered that the NVMe-oF/TCP subsystem of the Linux kernel
did not properly handle connect command payloads in certain situations,
leading to an out-of-bounds read vulnerability. A remote attacker could use
this to expose sensitive information (kernel memory). (CVE-2023-6121)

Jann Horn discovered that a race condition existed in the Linux kernel when
handling io_uring over sockets, 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-2023-6531)

Xingyuan Mo discovered that the netfilter subsystem in the Linux kernel did
not properly handle dynset expressions passed from userspace, leading to a
null pointer dereference vulnerability. A local attacker could use this to
cause a denial of service (system crash). (CVE-2023-6622)

It was discovered that the IGMP protocol implementation in the Linux kernel
contained a race condition, 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-2023-6932)

Robert Morris discovered that the CIFS network file system implementation
in the Linux kernel did not properly validate certain server commands
fields, leading to an out-of-bounds read vulnerability. An attacker could
use this to cause a denial of service (system crash) or possibly expose
sensitive information. (CVE-2024-0565)

Dan Carpenter discovered that the netfilter subsystem in the Linux kernel
did not store data in properly sized memory locations. A local user could
use this to cause a denial of service (system crash). (CVE-2024-0607)

Jann Horn discovered that the TLS subsystem in the Linux kernel did not
properly handle spliced messages, leading to an out-of-bounds write
vulnerability. A local attacker could use this to cause a denial of service
(system crash) or possibly execute arbitrary code. (CVE-2024-0646)

Yang Chaoming discovered that the KSMBD implementation in the Linux kernel
did not properly validate request buffer sizes, leading to an out-of-bounds
read vulnerability. An attacker could use this to cause a denial of service
(system crash) or possibly expose sensitive information. (CVE-2024-22705)

7.8 High

CVSS3

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

8 High

AI Score

Confidence

High

0.003 Low

EPSS

Percentile

67.8%