Snorkel Trainer.load uses an unsafe torch.load

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the Trainer.load method of the Trainer class. The method loads model checkpoint files using torch.load without enabling the security-restrictive weightsonly=True parameter. This default behavior allows...

pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2026-2614 via mlflow (1.10.0)

mlflow PYPI version 1.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - pytorch-vision-classifier =0.0.4, =0.1.1a0, =0.4.1, =0.4.2 - waveletai 0.2.4 Source cves: CVE-2026-2614 Source advisory: OSV:PYSEC-2026-2654...

llm-foundry (>=0.9.1, <=0.10.0), mlflow-pytorch-exp (0.0.1) potentially affected by CVE-2026-2614 via mlflow (2.14.3)

mlflow PYPI version 2.14.3 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - llm-foundry =0.9.1, =0.10.0 - mlflow-pytorch-exp 0.0.1 Source cves: CVE-2026-2614 Source advisory: OSV:PYSEC-2026-2654...

yolort (0.4.0) potentially affected by CVE-2026-31221 via pytorch-lightning (1.3.0rc1)

pytorch-lightning PYPI version 1.3.0rc1 is affected by a known vulnerability. The following packages have a transitive dependency on pytorch-lightning and may be impacted: - yolort 0.4.0 Source cves: CVE-2026-31221 Source advisory: OSV:PYSEC-2026-3043...

pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2025-15381 via mlflow (1.10.0)

mlflow PYPI version 1.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - pytorch-vision-classifier =0.0.4, =0.1.1a0, =0.4.1, =0.4.2 - waveletai 0.2.4 Source cves: CVE-2025-15381 Source advisory: OSV:PYSEC-2026-2657...

llm-foundry (>=0.9.1, <=0.10.0), mlflow-pytorch-exp (0.0.1) potentially affected by CVE-2025-15381 via mlflow (2.14.3)

mlflow PYPI version 2.14.3 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - llm-foundry =0.9.1, =0.10.0 - mlflow-pytorch-exp 0.0.1 Source cves: CVE-2025-15381 Source advisory: OSV:PYSEC-2026-2657...

llm-foundry (>=0.9.1, <=0.10.0), mlflow-pytorch-exp (0.0.1) potentially affected by CVE-2025-15031 via mlflow (2.14.3)

mlflow PYPI version 2.14.3 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - llm-foundry =0.9.1, =0.10.0 - mlflow-pytorch-exp 0.0.1 Source cves: CVE-2025-15031 Source advisory: OSV:PYSEC-2026-2656...

pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2025-15031 via mlflow (1.10.0)

mlflow PYPI version 1.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - pytorch-vision-classifier =0.0.4, =0.1.1a0, =0.4.1, =0.4.2 - waveletai 0.2.4 Source cves: CVE-2025-15031 Source advisory: OSV:PYSEC-2026-2656...

llm-foundry (>=0.9.1, <=0.10.0), mlflow-pytorch-exp (0.0.1) potentially affected by CVE-2025-14287 via mlflow (2.14.3)

mlflow PYPI version 2.14.3 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - llm-foundry =0.9.1, =0.10.0 - mlflow-pytorch-exp 0.0.1 Source cves: CVE-2025-14287 Source advisory: OSV:PYSEC-2026-2661...

pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2025-14287 via mlflow (1.10.0)

mlflow PYPI version 1.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - pytorch-vision-classifier =0.0.4, =0.1.1a0, =0.4.1, =0.4.2 - waveletai 0.2.4 Source cves: CVE-2025-14287 Source advisory: OSV:PYSEC-2026-2661...

llm-foundry (>=0.9.1, <=0.10.0), mlflow-pytorch-exp (0.0.1) potentially affected by CVE-2026-2033 via mlflow (2.14.3)

mlflow PYPI version 2.14.3 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - llm-foundry =0.9.1, =0.10.0 - mlflow-pytorch-exp 0.0.1 Source cves: CVE-2026-2033 Source advisory: OSV:PYSEC-2026-2658...

pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2026-2033 via mlflow (1.10.0)

mlflow PYPI version 1.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - pytorch-vision-classifier =0.0.4, =0.1.1a0, =0.4.1, =0.4.2 - waveletai 0.2.4 Source cves: CVE-2026-2033 Source advisory: OSV:PYSEC-2026-2658...

PYSEC-2026-2873 Picklescan (scan_pytorch) Bypass via dynamic eval MAGIC_NUMBER

Summary This is a scanning bypass to scanpytorch function in picklescan. As we can see in the implementation of getmagicnumber that uses pickletools.genopsdata to get the magicnumber with the condition opcode.name includes INT or LONG, but the PyTorch's implemtation simply uses picklemodule.load ...

Picklescan (scan_pytorch) Bypass via dynamic eval MAGIC_NUMBER

SummaryThis is a scanning bypass to scanpytorch function in picklescan. As we can see in the implementation of getmagicnumber that uses pickletools.genopsdata to get the magicnumber with the condition opcode.name includes INT or LONG, but the PyTorch's implemtation simply uses picklemodule.load t...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2023-33976 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2023-33976 Source advisory: OSV:PYSEC-2026-3190...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2023-25661 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2023-25661 Source advisory: OSV:PYSEC-2026-3182...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2023-25659 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2023-25659 Source advisory: OSV:PYSEC-2026-3142...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2023-25660 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2023-25660 Source advisory: OSV:PYSEC-2026-3231...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2023-25663 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2023-25663 Source advisory: OSV:PYSEC-2026-3116...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2023-25662 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2023-25662 Source advisory: OSV:PYSEC-2026-3130...