pypi:torchThis dossier links the stable identity pypi:torch to 9 exact observed versions across 10 public repositories.
A package identity or provider interface in published code does not prove configuration, an account, procurement, data transfer or an API call.
ecosystem:name + exact version + evidence pathPublication age and licenses come from deps.dev metadata. They are context—not a maintenance, legal or portability verdict.
29 Oct 202429 Jan 202523 Apr 202504 Jun 2025Not reported06 Aug 202512 Nov 2025Not reported21 Jan 2026landeshauptstadt-muenchen/f-13-rag5 Occurrencesuba-ki-lab/ressource-efficient-computer-vision2 Occurrencesuba-ki-lab/coding-agent-usage-simulation1 Occurrenceuba-ki-lab/density-maps1 Occurrenceuba-ki-lab/gsa-extraction1 Occurrenceuba-ki-lab/llm-questionnaire-benchmarking-framework1 Occurrenceuba-ki-lab/llm-testframework1 Occurrenceuba-ki-lab/objection-management1 Occurrenceuba-ki-lab/photovoltaic_systems1 Occurrenceuba-ki-lab/retrieval-evaluation1 Occurrenceuba-ki-lab/coding-agent-usage-simulationuv.lockuba-ki-lab/density-mapsuv.locklandeshauptstadt-muenchen/f-13-ragrequirements-gpu.inlandeshauptstadt-muenchen/f-13-ragrequirements-gpu.txtlandeshauptstadt-muenchen/f-13-ragrequirements-dev.txtlandeshauptstadt-muenchen/f-13-ragrequirements-testing.txtlandeshauptstadt-muenchen/f-13-ragrequirements.txtuba-ki-lab/gsa-extractionuv.lockuba-ki-lab/llm-questionnaire-benchmarking-frameworkuv.lockuba-ki-lab/llm-testframeworkuv.lockuba-ki-lab/objection-managementuv.lockuba-ki-lab/photovoltaic_systemssbom.jsonuba-ki-lab/ressource-efficient-computer-visionpyproject.tomluba-ki-lab/ressource-efficient-computer-visionuv.lockuba-ki-lab/retrieval-evaluationuv.lockPyTorch susceptible to local Denial of Service
10 Jun 2026PyTorch: `torch.load` with `weights_only=True` leads to remote code execution
04 Feb 2026PyTorch Improper Resource Shutdown or Release vulnerability
14 Jul 2026PyTorch Tuple Handler is Vulnerable to Memory Corruption through Manipulation of None Argument
09 Jun 2026PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function
10 Jun 2026PyTorch is vulnerable to memory corruption through its torch.lstm_cell function
10 Jun 2026PyTorch is vulnerable to memory corruption through its torch.jit.script function
17 Jul 2026PyTorch is vulnerable to memory corruption through its unpack_sequence function
10 Jun 2026PyTorch: Manipulation of the argument scale/zero_point leads to improper initialization via Quantized Sigmoid Module
10 Jun 2026Not reported
20 May 2026Not reported
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13 Jul 2026Only exact npm and PyPI tuples are enriched. Reported SPDX expressions are metadata; no compatibility, obligation or legal conclusion is inferred.
Retrieval, parsing, matching and publishing use no generative AI model.i6eal (2026): PyTorch — exact AI dependency evidence dossier, data state 19 Jul 2026. https://i6eal.de/en/tools/ki-abhaengigkeitsatlas/paket/torch-47a5352a/
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