AIKIDO-2026-136658
gluonts is vulnerable to Insecure Deserialization
78
CVE Score
High
Insecure Deserialization
TL;DR
The PyTorch predictor in gluonts.torch restores a saved model by calling torch.load on prediction-net-state.pt without setting weights_only. Because torch.load uses pickle by default, loading a maliciously crafted state file executes arbitrary code embedded in the pickle stream during unpickling. A user who deserializes an untrusted saved predictor through PyTorchPredictor.deserialize is exposed to arbitrary code execution. The fix passes weights_only=True so only tensor weights are unpickled. This fix first shipped in the 0.16.3 backport release (and is also present in 0.17.0).
How do I fix this?
Upgrade the gluonts library to the patch version.
Who does this affect?
You are affected if you are using a version that falls within the vulnerable range and you load a PyTorch predictor saved by an untrusted or externally influenced source.
Package
Versions
0.6.4 - 0.16.2
Fixed in 0.16.3Background info
gluonts is vulnerable to Insecure Deserialization in versions 0.6.4 - 0.16.2.
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