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HistoryAug 10, 2022 - 6:12 p.m.

linux-aws, linux-aws-5.15, linux-azure, linux-azure-5.15, linux-gcp, linux-gcp-5.15, linux-gke, linux-gke-5.15, linux-ibm, linux-kvm, linux-oracle, linux-raspi vulnerabilities

2022-08-1018:12:49
Google
osv.dev
20
linux kernel
network packet scheduler
route filter
denial of service
use-after-free
arbitrary code
netfilter subsystem
nft object
nft set
posix timers
clean up timers
floppy disk driver
race condition
atheros ath9k wireless device driver
sun rpc implementation
socket states
amd x86-64 processors
branch predictor
return instructions
intel x86-64 processors
speculative branch target injection attacks
data validation
privilege escalation

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

7.8

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

AI Score

8.7

Confidence

High

EPSS

0.007

Percentile

80.2%

Zhenpeng Lin discovered that the network packet scheduler implementation in
the Linux kernel did not properly remove all references to a route filter
before freeing it in some situations. A local attacker could use this to
cause a denial of service (system crash) or execute arbitrary code.
(CVE-2022-2588)

It was discovered that the netfilter subsystem of the Linux kernel did not
prevent one nft object from referencing an nft set in another nft table,
leading to a use-after-free vulnerability. A local attacker could use this
to cause a denial of service (system crash) or execute arbitrary code.
(CVE-2022-2586)

It was discovered that the implementation of POSIX timers in the Linux
kernel did not properly clean up timers in some situations. A local
attacker could use this to cause a denial of service (system crash) or
execute arbitrary code. (CVE-2022-2585)

Minh Yuan discovered that the floppy disk driver in the Linux kernel
contained a race condition, leading to a use-after-free vulnerability. A
local attacker could possibly use this to cause a denial of service (system
crash) or execute arbitrary code. (CVE-2022-1652)

It was discovered that the Atheros ath9k wireless device driver in the
Linux kernel did not properly handle some error conditions, 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-2022-1679)

Felix Fu discovered that the Sun RPC implementation in the Linux kernel did
not properly handle socket states, leading to 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-2022-28893)

Johannes Wikner and Kaveh Razavi discovered that for some AMD x86-64
processors, the branch predictor could by mis-trained for return
instructions in certain circumstances. A local attacker could possibly use
this to expose sensitive information. (CVE-2022-29900)

Johannes Wikner and Kaveh Razavi discovered that for some Intel x86-64
processors, the Linux kernel’s protections against speculative branch
target injection attacks were insufficient in some circumstances. A local
attacker could possibly use this to expose sensitive information.
(CVE-2022-29901)

Arthur Mongodin discovered that the netfilter subsystem in the Linux kernel
did not properly perform data validation. A local attacker could use this
to escalate privileges in certain situations. (CVE-2022-34918)

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

7.8

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

AI Score

8.7

Confidence

High

EPSS

0.007

Percentile

80.2%