Security Vulnerabilities
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.
CVSS Score
5.3
EPSS Score
0.0
Published
2025-09-25
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.
CVSS Score
5.3
EPSS Score
0.0
Published
2025-09-25
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
CVSS Score
5.3
EPSS Score
0.0
Published
2025-09-25
In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument.
CVSS Score
5.3
EPSS Score
0.0
Published
2025-09-25
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
CVSS Score
5.3
EPSS Score
0.0
Published
2025-09-25
An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation.
CVSS Score
7.5
EPSS Score
0.0
Published
2025-09-25
Ericsson Indoor Connect 8855 contains an improper input validation vulnerability which if exploited can allow an attacker to execute commands with escalated privileges.
CVSS Score
9.8
EPSS Score
0.002
Published
2025-09-25
Ericsson Indoor Connect 8855 contains a missing authorization vulnerability which if exploited can allow access to the system as a user with higher privileges than intended.
CVSS Score
8.8
EPSS Score
0.0
Published
2025-09-25
Ericsson Indoor Connect 8855 contains a vulnerability where server-side security can be bypassed in the client which if exploited can lead to unauthorized disclosure of certain information.
CVSS Score
7.5
EPSS Score
0.0
Published
2025-09-25
Ericsson Indoor Connect 8855 contains a command injection vulnerability which if exploited can result in an escalation of privileges.
CVSS Score
7.8
EPSS Score
0.0
Published
2025-09-25