deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29608 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29608 Source advisory: OSV:PYSEC-2021-734...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29580 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29580 Source advisory: OSV:PYSEC-2021-706...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29593 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29593 Source advisory: OSV:PYSEC-2021-719...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29514 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29514 Source advisory: OSV:PYSEC-2021-640...

brainhance (=0.0.1), crystal4d (>=0.0.4 <=0.1.2) +4 more potentially affected by CVE-2021-29617 via tensorflow-gpu (>=2.4.0 <=2.4.2)

tensorflow-gpu PYPI version =2.4.0, =0.0.4, =1.1.1, =0.1.0.dev98, =1.0.0, =1.0.1 - tf-yarn-gpu =0.6.3 Source cves: CVE-2021-29617 Source advisory: OSV:PYSEC-2021-743...

d3m-simon (=1.2.5), easyquake (>=1.3.0 <=1.4.0) potentially affected by CVE-2021-29579 via tensorflow-gpu (=2.2.0)

tensorflow-gpu PYPI version =2.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - d3m-simon =1.2.5 - easyquake =1.3.0, =1.4.0 Source cves: CVE-2021-29579 Source advisory: OSV:PYSEC-2021-705...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29535 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29535 Source advisory: OSV:PYSEC-2021-661...

brainhance (=0.0.1), crystal4d (>=0.0.4 <=0.1.2) +3 more potentially affected by CVE-2021-29601 via tensorflow-gpu (>=2.4.0 <=2.4.1)

tensorflow-gpu PYPI version =2.4.0, =0.0.4, =1.1.1, =1.0.0, =1.0.1 - tf-yarn-gpu =0.6.3 Source cves: CVE-2021-29601 Source advisory: OSV:PYSEC-2021-727...

CVE-2021-28663

The Arm Mali GPU kernel driver allows privilege escalation or information disclosure because GPU memory operations are mishandled, leading to a use-after-free. This affects Bifrost r0p0 through r28p0 before r29p0, Valhall r19p0 through r28p0 before r29p0, and Midgard r4p0 through r30p0...

VulnCheck KEV: CVE-2021-28664

Arm Mali Graphics Processing Unit GPU kernel driver contains an unspecified vulnerability that may allow a non-privileged user to gain write access to read-only memory, gain root privilege, corrupt memory, and modify the memory of other processes...

PT-2021-4879 · Arm · Arm Mali Gpu Kernel Driver

Name of the Vulnerable Software and Affected Versions: Arm Mali GPU kernel driver versions Bifrost r0p0 through r28p0 before r29p0 Arm Mali GPU kernel driver versions Valhall r19p0 through r28p0 before r29p0 Arm Mali GPU kernel driver versions Midgard r4p0 through r30p0 Description: The issue is...

GPU driver 资源管理错误漏洞

The Qualcomm Adreno GPU is a mobile platform-integrated GPU from Qualcomm Incorporated USA. A resource management error vulnerability exists in the GPU driver, which stems from improper reference memory checking...

Google Chrome 缓冲区错误漏洞

Chrome is a simple and efficiently designed web browsing tool developed by Google that is characterized by its simplicity and speed. A stack overflow vulnerability exists in the GPU process in versions prior to Google Chrome 88.0.4324.182. No detailed vulnerability details are provided at this ti...

CVE-2021-22495

An issue was discovered on Samsung mobile devices with O8.x, P9.0, Q10.0, and R11.0 Exynos chipsets software. The Mali GPU driver allows out-of-bounds access and a device reset. The Samsung ID is SVE-2020-19174 January 2021...

PT-2025-7969

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description A memory leak issue has been identified in the Linux kernel, specifically related to the gpu metrics table in the drm/amd/pm module. The memory is allocated in the renoir init smc tables...

PYSEC-2020-301

In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer...

PT-2020-16393 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 1.15.5 TensorFlow versions prior to 2.0.4 TensorFlow versions prior to 2.1.3 TensorFlow versions prior to 2.2.2 TensorFlow versions prior to 2.3.2 TensorFlow versions prior to 2.4.0 Description: In affected versio...

Nvidia Warns Gamers of Severe GeForce Experience Flaws

Nvidia, which makes gaming-friendly graphics processing units GPUs, has issued fixes for two high-severity flaws in the Windows version of its GeForce Experience software. GeForce Experience is a supplemental application to the GeForce GTX graphics card — it keeps users’ drivers up-to-date,...

CVE-2020-0420

In setUpdatableDriverPath of GpuService.cpp, there is a possible memory corruption due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions:...

deep-floorplan (=0.0.0) potentially affected by CVE-2020-15194 via tensorflow-gpu (=2.3.0)

tensorflow-gpu PYPI version =2.3.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deep-floorplan =0.0.0 Source cves: CVE-2020-15194 Source advisory: OSV:PYSEC-2020-309...