Security Vulnerabilities
All versions of Dingtian DT-R002 are vulnerable to an Insufficiently Protected Credentials vulnerability that could allow an attacker to retrieve the current user's username without authentication.
CVSS Score
5.3
EPSS Score
0.0
Published
2025-09-25
An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.layers.Conv2D.
CVSS Score
7.5
EPSS Score
0.0
Published
2025-09-25
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
CVSS Score
7.5
EPSS Score
0.001
Published
2025-09-25
Flag Forge is a Capture The Flag (CTF) platform. In versions from 2.2.0 to before 2.3.1, the FlagForge web application improperly handles session invalidation. Authenticated users can continue to access protected endpoints, such as /api/profile, even after logging out. CSRF tokens are also still valid post-logout, which can allow unauthorized actions. This issue has been patched in version 2.3.1.
CVSS Score
9.8
EPSS Score
0.001
Published
2025-09-25
pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.
CVSS Score
7.5
EPSS Score
0.001
Published
2025-09-25
A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).
CVSS Score
7.5
EPSS Score
0.001
Published
2025-09-25
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().
CVSS Score
5.3
EPSS Score
0.001
Published
2025-09-25
TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application.
CVSS Score
6.5
EPSS Score
0.0
Published
2025-09-25
A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS).
CVSS Score
7.5
EPSS Score
0.001
Published
2025-09-25
A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS).
CVSS Score
7.5
EPSS Score
0.001
Published
2025-09-25