CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
The GPT library in the Telegyr 8979 Master Protocol application in SUBNET SubSTATION Server 2 before SSNET 2.12 HF18808 allows remote attackers to cause a denial of service (persistent service crash) via a long RTU-to-Master message. |
Innominate mGuard before 7.6.4 and 8.x before 8.0.3 does not require authentication for snapshot downloads, which allows remote attackers to obtain sensitive information via a crafted HTTPS request. |
pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together. |
A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS). |
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long(). |
TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application. |
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). |
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). |
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. |
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results. |
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error. |
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results. |
In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument. |
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. |
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. |
Monkeytype is a minimalistic and customizable typing test. In versions 25.36.0 and prior, improper handling of user input when loading a saved custom text results in XSS. This issue has been patched via commit f025b12. |
IBM WebSphere Application Server 8.5 and 9.0 is vulnerable to a denial of service, caused by sending a specially-crafted request. A privileged user could exploit this vulnerability to cause the server to consume memory resources. |
IBM License Metric Tool 9.2.0 through 9.2.40 is vulnerable to stored cross-site scripting. This vulnerability allows an authenticated user to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. |
IBM License Metric Tool 9.2.0 through 9.2.40
could allow an authenticated user to bypass access controls in the REST API interface and perform unauthorized actions. |
IBM Planning Analytics Local 2.0.0 through 2.0.106 and 2.1.0 through 2.1.13
could allow a malicious privileged user to bypass the UI to gain unauthorized access to sensitive information due to the improper validation of input. |