基础信息
项目名称:kornia/kornia
项目徽章:
仓库地址:https://github.com/pterodactyl/panel
检测报告地址:https://www.murphysec.com/console/report/1721345892937138176/1728640858835603456
此报告由Murphysec提供
漏洞列表
漏洞名称 | 漏洞类型 | MPS编号 | CVE编号 | 漏洞等级 |
---|---|---|---|---|
PyTorch 命令注入漏洞 | 代码注入 | MPS-2022-65270 | CVE-2022-45907 | 严重 |
缺陷组件
组件名称 | 版本 | 最小修复版本 | 依赖关系 | 修复建议 |
---|---|---|---|---|
torch | 1.9.1 | 1.13.1 | 间接依赖 | 建议修复 |
许可证风险
许可证类型 | 相关组件 | 许可证风险 |
---|---|---|
自定义许可证 | 3 | 低 |
Apache-2.0 | 2 | 低 |
MIT | 4 | 低 |
SBOM清单
组件名称 | 组件版本 | 是否直接依赖 | 仓库 |
---|---|---|---|
BaseTester | 间接依赖 | pip | |
ApplyColorMap | 间接依赖 | pip | |
Vector2 | 间接依赖 | pip | |
fit_plane | 间接依赖 | pip | |
OriNet | 间接依赖 | pip | |
median_blur | 间接依赖 | pip | |
IntegralImage | 间接依赖 | pip | |
torch | 1.9.1 | 间接依赖 | pip |
RandomMotionBlur3D | 间接依赖 | pip | |
IntegralTensor | 间接依赖 | pip | |
LAFAffNetShapeEstimator | 间接依赖 | pip | |
Sam | 间接依赖 | pip | |
KORNIA_CHECK_IS_TENSOR | 间接依赖 | pip | |
List | 间接依赖 | pip | |
Sobel | 间接依赖 | pip | |
print_image | 间接依赖 | pip | |
Hyperplane | 间接依赖 | pip | |
GFTTAffNetHardNet | 间接依赖 | pip | |
ParametrizedLine | 间接依赖 | pip | |
undistort_points | 间接依赖 | pip | |
get_hanning_kernel2d | 间接依赖 | pip | |
Configuration | 间接依赖 | pip | |
Dict | 间接依赖 | pip | |
SOLD2_detector | 间接依赖 | pip | |
SemanticSegmentationTrainer | 间接依赖 | pip | |
GuidedBlur | 间接依赖 | pip | |
CameraModelType | 间接依赖 | pip | |
unwrap | 间接依赖 | pip | |
draw_convex_polygon | 间接依赖 | pip | |
get_hanning_kernel1d | 间接依赖 | pip | |
_get_center_kernel2d | 间接依赖 | pip | |
KORNIA_CHECK_IS_COLOR | 间接依赖 | pip | |
VisionTransformer | 间接依赖 | pip | |
unsharp_mask | 间接依赖 | pip | |
kornia | 间接依赖 | pip | |
Device | 间接依赖 | pip | |
NerfModel | 间接依赖 | pip | |
image_to_string | 间接依赖 | pip | |
tensor_to_gradcheck_var | 间接依赖 | pip | |
EarlyStopping | 间接依赖 | pip | |
accelerate | 0.24.1 | 间接依赖 | pip |
UnsharpMask | 间接依赖 | pip | |
load_image | 间接依赖 | pip | |
ImageLoadType | 间接依赖 | pip | |
JointBilateralBlur | 间接依赖 | pip | |
resize | 间接依赖 | pip | |
torch_version | 间接依赖 | pip | |
kornia-rs | 0.0.8 | 间接依赖 | pip |
RandomMotionBlur | 间接依赖 | pip | |
LAFAffineShapeEstimator | 间接依赖 | pip | |
ClassificationHead | 间接依赖 | pip | |
isclass | 间接依赖 | pip | |
RANSAC | 间接依赖 | pip | |
MLP | 间接依赖 | pip | |
nn | 间接依赖 | pip | |
pytest | 7.4.3 | 间接依赖 | pip |
AUTUMN | 间接依赖 | pip | |
Se2 | 间接依赖 | pip | |
undistort_image | 间接依赖 | pip | |
BilateralBlur | 间接依赖 | pip | |
Tensor | 间接依赖 | pip | |
Module | 间接依赖 | pip | |
Callable | 间接依赖 | pip | |
Scalar | 间接依赖 | pip | |
rotation_matrix_to_quaternion | 间接依赖 | pip | |
Vector3 | 间接依赖 | pip | |
filter2d | 间接依赖 | pip | |
get_laplacian_kernel1d | 间接依赖 | pip | |
gradcheck | 间接依赖 | pip | |
ops | 间接依赖 | pip | |
sphinx-copybutton | 0.3 | 间接依赖 | pip |
create_red_images_for_cameras | 间接依赖 | pip | |
torch_version_lt | 间接依赖 | pip | |
StraightThroughEstimator | 间接依赖 | pip | |
isfunction | 间接依赖 | pip | |
euler_from_quaternion | 间接依赖 | pip | |
create_spiral_path | 间接依赖 | pip | |
DexiNed | 间接依赖 | pip | |
SOLD2 | 间接依赖 | pip | |
optim | 间接依赖 | pip | |
SpatialGradient | 间接依赖 | pip | |
CameraModel | 间接依赖 | pip | |
DescriptorMatcher | 间接依赖 | pip | |
Tuple | 间接依赖 | pip | |
_get_center_kernel3d | 间接依赖 | pip | |
pre-commit | 2 | 间接依赖 | pip |
ModelCheckpoint | 间接依赖 | pip | |
zeros | 间接依赖 | pip | |
STEFunction | 间接依赖 | pip | |
parse_colmap_output | 间接依赖 | pip | |
So2 | 间接依赖 | pip | |
OperationBase | 间接依赖 | pip | |
Se3 | 间接依赖 | pip | |
box_blur | 间接依赖 | pip | |
Laplacian | 间接依赖 | pip | |
HardNet | 间接依赖 | pip | |
create_meshgrid | 间接依赖 | pip | |
ClassVar | 间接依赖 | pip | |
BoxBlur | 间接依赖 | pip | |
transform_points | 间接依赖 | pip | |
guided_blur | 间接依赖 | pip | |
SamConfig | 间接依赖 | pip | |
ObjectDetectionTrainer | 间接依赖 | pip | |
RandomAffine3D | 间接依赖 | pip | |
HardNet8 | 间接依赖 | pip | |
Canny | 间接依赖 | pip | |
DISK | 间接依赖 | pip | |
canny | 间接依赖 | pip | |
create_random_images_for_cameras | 间接依赖 | pip | |
Optional | 间接依赖 | pip | |
assert_close | 间接依赖 | pip | |
TensorWrapper | 间接依赖 | pip | |
DISKFeatures | 间接依赖 | pip | |
PyYAML | 5.1 | 间接依赖 | pip |
MedianBlur | 间接依赖 | pip | |
fit_line | 间接依赖 | pip | |
LAFOrienter | 间接依赖 | pip | |
Any | 间接依赖 | pip |