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osvGoogleOSV:USN-6549-3
HistoryDec 13, 2023 - 2:01 p.m.

linux-lowlatency, linux-lowlatency-hwe-5.15 vulnerabilities

2023-12-1314:01:01
Google
osv.dev
8
usb subsystem
netlink transformation
netfilter
sctp data
qxl virtual gpu driver
ipv4 implementation
virtio ring
nvme-of/tcp subsystem
perf subsystem

9.8 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

9 High

AI Score

Confidence

High

0.025 Low

EPSS

Percentile

90.1%

It was discovered that the USB subsystem in the Linux kernel contained a
race condition while handling device descriptors in certain situations,
leading to a out-of-bounds read vulnerability. A local attacker could
possibly use this to cause a denial of service (system crash).
(CVE-2023-37453)

Lin Ma discovered that the Netlink Transformation (XFRM) subsystem in the
Linux kernel did not properly initialize a policy data structure, leading
to an out-of-bounds vulnerability. A local privileged attacker could use
this to cause a denial of service (system crash) or possibly expose
sensitive information (kernel memory). (CVE-2023-3773)

Lucas Leong discovered that the netfilter subsystem in the Linux kernel did
not properly validate some attributes passed from userspace. A local
attacker could use this to cause a denial of service (system crash) or
possibly expose sensitive information (kernel memory). (CVE-2023-39189)

Sunjoo Park discovered that the netfilter subsystem in the Linux kernel did
not properly validate u32 packets content, leading to an out-of-bounds read
vulnerability. A local attacker could use this to cause a denial of service
(system crash) or possibly expose sensitive information. (CVE-2023-39192)

Lucas Leong discovered that the netfilter subsystem in the Linux kernel did
not properly validate SCTP data, leading to an out-of-bounds read
vulnerability. A local attacker could use this to cause a denial of service
(system crash) or possibly expose sensitive information. (CVE-2023-39193)

Lucas Leong discovered that the Netlink Transformation (XFRM) subsystem in
the Linux kernel did not properly handle state filters, leading to an out-
of-bounds read vulnerability. A privileged local attacker could use this to
cause a denial of service (system crash) or possibly expose sensitive
information. (CVE-2023-39194)

It was discovered that a race condition existed in QXL virtual GPU driver
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-2023-39198)

Kyle Zeng discovered that the IPv4 implementation in the Linux kernel did
not properly handle socket buffers (skb) when performing IP routing in
certain circumstances, leading to a null pointer dereference vulnerability.
A privileged attacker could use this to cause a denial of service (system
crash). (CVE-2023-42754)

Jason Wang discovered that the virtio ring implementation in the Linux
kernel did not properly handle iov buffers in some situations. A local
attacker in a guest VM could use this to cause a denial of service (host
system crash). (CVE-2023-5158)

Alon Zahavi discovered that the NVMe-oF/TCP subsystem in the Linux kernel
did not properly handle queue initialization failures in certain
situations, leading to a use-after-free vulnerability. A remote attacker
could use this to cause a denial of service (system crash) or possibly
execute arbitrary code. (CVE-2023-5178)

Budimir Markovic discovered that the perf subsystem in the Linux kernel did
not properly handle event groups, 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-2023-5717)

9.8 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

9 High

AI Score

Confidence

High

0.025 Low

EPSS

Percentile

90.1%