| Título | dmlc dgl 2.1.0 rce |
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| Descripción | Two independent deserialization sinks execute attacker-controlled pickle payloads when a victim loads DGL data files:
load_info — a public utility (recommended in the DGLDataset docstring for reading dataset info.pkl) that calls raw pickle.load on the file.
Graphbolt torch-data path — _read_torch_data calls torch.load with the hardcoded literal weights_only=False, disabling the restricted unpickler that torch >= 2.6 enables by default. A repo-wide grep for weights_only=True, RestrictedUnpickler, safe_globals, allow_pickle=False returns zero matches across the entire dgl Python tree — no safe default exists anywhere.
Neither API exposes a safety parameter: load_info(path) takes only the path; read_data(path, fmt, in_memory=True)'s parameters select the format reader and caching, never the unpickler mode. No environment variable or configuration file affects either sink (DGLBACKEND selects the tensor backend only). |
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| Fuente | ⚠️ https://github.com/dmlc/dgl/issues/7932 |
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| Usuario | __lbz__ (UID 100868) |
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| Sumisión | 2026-08-29 05:08 (hace 22 días) |
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| Moderación | 2026-09-20 10:39 (22 days later) |
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| Estado | Aceptado |
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| Entrada de VulDB | 408022 [dmlc dgl hasta 2.1.0 utils.py load_info/_read_torch_data path escalada de privilegios] |
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| Puntos | 18 |
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