aggmap (>=1.1.1 <=1.2.1), molmap (>=1.3.1 <=1.4.0) potentially affected by CVE-2022-41890 via tensorflow-gpu (=2.9.1)

tensorflow-gpu PYPI version =2.9.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - aggmap =1.1.1, =1.3.1, =1.4.0 Source cves: CVE-2022-41890 Source advisory: OSV:GHSA-H246-CGH4-7475...

CVE-2022-31616

NVIDIA GPU Display Driver for Windows contains a vulnerability in the kernel mode layer nvlddmkm.sys handler for DxgkDdiEscape, where a local user with basic capabilities can cause an out-of-bounds read, which may lead to denial of service, or information disclosure...

CVE-2022-31606

NVIDIA GPU Display Driver for Windows contains a vulnerability in the kernel mode layer nvlddmkm.sys handler for DxgkDdiEscape, where a failure to properly validate data might allow an attacker with basic user capabilities to cause an out-of-bounds access in kernel mode, which could lead to denia...

CVE-2022-31617

NVIDIA GPU Display Driver for Windows contains a vulnerability in the kernel mode layer nvlddmkm.sys, where a local user with basic capabilities can cause an out-of-bounds read, which may lead to code execution, denial of service, escalation of privileges, information disclosure, or data tamperin...

CVE-2022-34666

NVIDIA GPU Display Driver for Windows and Linux contains a vulnerability in the kernel mode layer, where a local user with basic capabilities can cause a null-pointer dereference, which may lead to denial of service...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +183 more potentially affected by CVE-2022-35983 via tensorflow-gpu (>=1.10.1 <=2.7.0)

tensorflow-gpu PYPI version =1.10.1, =1.1.2, =0.21.0, =0.23.0, =0.9.2, =1.0.0, =0.1.0, =0.0.1, =0.0.9, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - brainhance =0.0.1 and more Source cves: CVE-2022-35983 Source advisory: OSV:GHSA-M6VP-8Q9J-WHX4...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-35994 via tensorflow-gpu (=2.8.0)

tensorflow-gpu PYPI version =2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - causalegm =0.2.1, =0.1.0, =0.0.6, =2.3.5, =2.4.1 - tlaunch =0.0.2 Source cves: CVE-2022-35994 Source advisory: OSV:GHSA-FHFC-2Q7X-9...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +183 more potentially affected by CVE-2022-36002 via tensorflow-gpu (>=1.10.1 <=2.7.0)

tensorflow-gpu PYPI version =1.10.1, =1.1.2, =0.21.0, =0.23.0, =0.9.2, =1.0.0, =0.1.0, =0.0.1, =0.0.9, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - brainhance =0.0.1 and more Source cves: CVE-2022-36002 Source advisory: OSV:GHSA-MH3M-62V7-68XG...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +183 more potentially affected by CVE-2022-36015 via tensorflow-gpu (>=1.10.1 <=2.7.0)

tensorflow-gpu PYPI version =1.10.1, =1.1.2, =0.21.0, =0.23.0, =0.9.2, =1.0.0, =0.1.0, =0.0.1, =0.0.9, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - brainhance =0.0.1 and more Source cves: CVE-2022-36015 Source advisory: OSV:GHSA-RH87-Q4VG-M45J...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-36019 via tensorflow-gpu (=2.8.0)

tensorflow-gpu PYPI version =2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - causalegm =0.2.1, =0.1.0, =0.0.6, =2.3.5, =2.4.1 - tlaunch =0.0.2 Source cves: CVE-2022-36019 Source advisory: OSV:GHSA-9J4V-PP28-M...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-35937 via tensorflow-gpu (=2.8.0)

tensorflow-gpu PYPI version =2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - causalegm =0.2.1, =0.1.0, =0.0.6, =2.3.5, =2.4.1 - tlaunch =0.0.2 Source cves: CVE-2022-35937 Source advisory: OSV:GHSA-PXRW-J2FV-H...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +183 more potentially affected by CVE-2022-35934 via tensorflow-gpu (>=1.10.1 <=2.7.0)

tensorflow-gpu PYPI version =1.10.1, =1.1.2, =0.21.0, =0.23.0, =0.9.2, =1.0.0, =0.1.0, =0.0.1, =0.0.9, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - brainhance =0.0.1 and more Source cves: CVE-2022-35934 Source advisory: OSV:GHSA-F4W6-H4F5-WX45...

Google Android 安全漏洞

Google Android is a Linux-based open source operating system from Google, Inc. Google Android suffers from a security vulnerability that originates from a vulnerability in the PowerVR-GPU component of Imagination Technologies...

CVE-2021-39793

creationtimestamp| type| source ---|---|--- 2022-07-04 20:00:05+00:00| seen| https://t.me/truesecator/3129 2022-09-08 13:17:27+00:00| published-proof-of-concept| https://t.me/CyberSecurityTechnologies/6761 2022-11-22 21:05:00+00:00| seen|...

rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-29201 via tensorflow-gpu (=2.7.0)

tensorflow-gpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - rpnet =0.0.1, =0.0.5, =1.0.5, =1.1.1 - tpu-tf2 =1.0.0 - troj =1.0.0 Source cves: CVE-2022-29201 Source advisory:...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-29195 via tensorflow-gpu (=2.8.0)

tensorflow-gpu PYPI version =2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - causalegm =0.2.1, =0.1.0, =0.0.6, =2.3.5, =2.4.1 - tlaunch =0.0.2 Source cves: CVE-2022-29195 Source advisory: OSV:GHSA-H48F-Q7RW-H...

CVE-2022-0607

Use after free in GPU in Google Chrome prior to 98.0.4758.102 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page...

CVE-2022-0607

Use after free in GPU in Google Chrome prior to 98.0.4758.102 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page...

kernel: possible privileges escalation due to missing TLB flush

A random memory access flaw was found in the Linux kernel’s GPU i915 kernel driver functionality in the way a user may run malicious code on the GPU. This flaw allows a local user to crash the system or escalate their privileges on the system...

kernel: possible privileges escalation due to missing TLB flush

A random memory access flaw was found in the Linux kernel’s GPU i915 kernel driver functionality in the way a user may run malicious code on the GPU. This flaw allows a local user to crash the system or escalate their privileges on the system...