Patching CVE-2007-4559

Hi, we are security researchers from the Advanced Research Center at Trellix. We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a 15 year old bug in the Python tarfile package. By using extract() or extractall() on a tarfile object without sanitizing input, a maliciously crafted .tar file could perform a directory path traversal attack. We found at least one unsantized extractall() in your codebase and are providing a patch for you via pull request. The patch essentially checks to see if all tarfile members will be extracted safely and throws an exception otherwise. We encourage you to use this patch or your own solution to secure against CVE-2007-4559. Further technical information about the vulnerability can be found in this blog.

If you have further questions you may contact us through this projects lead researcher Kasimir Schulz.

class DynamicDWConv(nn.Module):
    def __init__(self, dim, kernel_size, bias=True, stride=1, padding=1, groups=1, reduction=4):
        super().__init__()
        self.dim = dim
        self.kernel_size = kernel_size
        self.stride = stride 
        self.padding = padding 
        self.groups = groups 

        self.pool = nn.AdaptiveAvgPool2d((1, 1))
        self.conv1 = nn.Conv2d(dim, dim // reduction, 1, bias=False)
        self.bn = nn.BatchNorm2d(dim // reduction)
        self.relu = nn.ReLU(inplace=True)
        self.conv2 = nn.Conv2d(dim // reduction, dim * kernel_size * kernel_size, 1)
        if bias:
            self.bias = nn.Parameter(torch.zeros(dim))
        else:
            self.bias = None

    def forward(self, x):
        b, c, h, w = x.shape
        weight = self.conv2(self.relu(self.bn(self.conv1(self.pool(x)))))
        weight = weight.view(b * self.dim, 1, self.kernel_size, self.kernel_size)
        x = F.conv2d(x.reshape(1, -1, h, w), weight, self.bias.repeat(b), stride=self.stride, padding=self.padding, groups=b * self.groups)
        x = x.view(b, c, x.shape[-2], x.shape[-1])
        return x

This function seems to give error when groups is not equal to dim.