| CVE-2025-59347 | 中6.5 | Dragonfly is an open source P2P-based file distribution and image acceleration system. Prior to 2.1.0, The Manager disables TLS certificate verification in HTTP clients. The clients are not configurable, so users have no way to re-enable the verification. A Manager processes dozens of preheat jobs. An adversary perform | 17/09/2025 |
| CVE-2025-59346 | 中5.3 | Dragonfly is an open source P2P-based file distribution and image acceleration system. Versions prior to 2.1.0 contain a server-side request forgery (SSRF) vulnerability that enables users to force DragonFly2’s components to make requests to internal services that are otherwise not accessible to them. The issue arises | 17/09/2025 |
| CVE-2025-59345 | 緊急9.1 | Dragonfly is an open source P2P-based file distribution and image acceleration system. Prior to 2.1.0, The /api/v1/jobs and /preheats endpoints in Manager web UI are accessible without authentication. Any user with network access to the Manager can create, delete, and modify jobs, and create preheat jobs. An unauthenti | 17/09/2025 |
| CVE-2025-20705 | 高7.8 | In monitor_hang, there is a possible memory corruption due to use after free. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: ALPS09989078; Issue ID: MSV-3964. | 01/09/2025 |
| CVE-2025-20696 | 中6.8 | In DA, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege, if an attacker has physical access to the device, with no additional execution privileges needed. User interaction is needed for exploitation. Patch ID: ALPS09915215; Issue ID: MSV-3801. | 04/08/2025 |
| CVE-2025-53012 | 高7.5 | MaterialX is an open standard for the exchange of rich material and look-development content across applications and renderers. In version 1.39.2, nested imports of MaterialX files can lead to a crash via stack memory exhaustion, due to the lack of a limit on the "import chain" depth. When parsing file imports, recursi | 01/08/2025 |
| CVE-2025-53011 | 高7.5 | MaterialX is an open standard for the exchange of rich material and look-development content across applications and renderers. In version 1.39.2, when parsing shader nodes in a MTLX file, the MaterialXCore code accesses a potentially null pointer, which can lead to crashes with maliciously crafted files. An attacker c | 01/08/2025 |
| CVE-2025-53010 | 高7.5 | MaterialX is an open standard for the exchange of rich material and look-development content across applications and renderers. In version 1.39.2, when parsing shader nodes in a MTLX file, the MaterialXCore code accesses a potentially null pointer, which can lead to crashes with maliciously crafted files. An attacker c | 01/08/2025 |
| CVE-2025-53009 | 高7.5 | MaterialX is an open standard for the exchange of rich material and look-development content across applications and renderers. In versions 1.39.2 and below, when parsing an MTLX file with multiple nested nodegraph implementations, the MaterialX XML parsing logic can potentially crash due to stack exhaustion. An attack | 01/08/2025 |
| CVE-2025-51480 | 高8.8 | Path Traversal vulnerability in onnx.external_data_helper.save_external_data in ONNX 1.17.0 allows attackers to overwrite arbitrary files by supplying crafted external_data.location paths containing traversal sequences, bypassing intended directory restrictions. | 22/07/2025 |
| CVE-2025-20693 | 中6.5 | In wlan STA driver, there is a possible out of bounds read due to an incorrect bounds check. This could lead to remote (proximal/adjacent) information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS09812521; Issue ID: MSV-3421. | 08/07/2025 |
| CVE-2025-5150 | 高8.8 | A vulnerability was found in docarray up to 0.40.1. It has been rated as critical. Affected by this issue is the function __getitem__ of the file /docarray/data/torch_dataset.py of the component Web API. The manipulation leads to improperly controlled modification of object prototype attributes ('prototype pollution'). | 25/05/2025 |
| CVE-2025-47291 | 高7.5 | containerd is an open-source container runtime. A bug was found in the containerd's CRI implementation where containerd, starting in version 2.0.1 and prior to version 2.0.5, doesn't put usernamespaced containers under the Kubernetes' cgroup hierarchy, therefore some Kubernetes limits are not honored. This may cause a | 21/05/2025 |
| CVE-2025-47290 | 中5.9 | containerd is a container runtime. A time-of-check to time-of-use (TOCTOU) vulnerability was found in containerd v2.1.0. While unpacking an image during an image pull, specially crafted container images could arbitrarily modify the host file system. The only affected version of containerd is 2.1.0. Other versions of c | 20/05/2025 |
| CVE-2025-32434 | 緊急9.8 | PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue | 18/04/2025 |
| CVE-2025-3730 | 中5.5 | A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may | 16/04/2025 |
| CVE-2025-20656 | 中6.8 | In DA, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege, if an attacker has physical access to the device, with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS09625423; Issue ID: MSV-3033. | 07/04/2025 |
| CVE-2025-3136 | 低3.3 | A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.caching_allocator_delete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The exploit has been discl | 03/04/2025 |
| CVE-2025-3121 | 中5.5 | A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. | 02/04/2025 |
| CVE-2025-3001 | 中5.3 | A vulnerability classified as critical was found in PyTorch 2.6.0. This vulnerability affects the function torch.lstm_cell. The manipulation leads to memory corruption. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used. | 31/03/2025 |