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Export limit exceeded: 339475 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
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Search Results (339475 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2014-2357 | 1 Subnet | 1 Substation Server | 2025-10-03 | N/A |
| 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. | ||||
| CVE-2014-2356 | 1 Innominate | 1 Mguard Firmware | 2025-10-03 | N/A |
| 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. | ||||
| CVE-2025-55552 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 5.3 Medium |
| pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together. | ||||
| CVE-2025-55553 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 7.5 High |
| A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS). | ||||
| CVE-2025-55554 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 5.3 Medium |
| pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long(). | ||||
| CVE-2025-55556 | 2 Google, Tensorflow | 2 Tensorflow, Tensorflow | 2025-10-03 | 6.5 Medium |
| TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application. | ||||
| CVE-2025-55557 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 7.5 High |
| 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). | ||||
| CVE-2025-55558 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 7.5 High |
| 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). | ||||
| CVE-2025-55559 | 1 Google | 1 Tensorflow | 2025-10-03 | 7.5 High |
| 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. | ||||
| CVE-2025-46148 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 5.3 Medium |
| In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results. | ||||
| CVE-2025-46149 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 5.3 Medium |
| In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error. | ||||
| CVE-2025-46150 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 5.3 Medium |
| In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results. | ||||
| CVE-2025-46152 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 5.3 Medium |
| In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument. | ||||
| CVE-2025-46153 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 5.3 Medium |
| 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. | ||||
| CVE-2025-55551 | 2 Linuxfoundation, Pytorch | 2 Pytorch, Pytorch | 2025-10-03 | 7.5 High |
| 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. | ||||
| CVE-2025-36099 | 1 Ibm | 1 Websphere Application Server | 2025-10-03 | 4.9 Medium |
| 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. | ||||
| CVE-2025-36352 | 1 Ibm | 1 License Metric Tool | 2025-10-03 | 6.4 Medium |
| 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. | ||||
| CVE-2025-36351 | 1 Ibm | 1 License Metric Tool | 2025-10-03 | 4.3 Medium |
| 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. | ||||
| CVE-2025-36262 | 1 Ibm | 1 Planning Analytics Local | 2025-10-03 | 4.9 Medium |
| 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. | ||||
| CVE-2025-36132 | 1 Ibm | 1 Planning Analytics Local | 2025-10-03 | 5.4 Medium |
| IBM Planning Analytics Local 2.0.0 through 2.0.106 and 2.1.0 through 2.1.13 is vulnerable to 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. | ||||