# CVE-2026-31222: Snorkel insecure deserialization in Trainer.load

Source: https://junglewise.ai/threats/cve-2026-31222-snorkel-insecure-deserialization-in-trainer-load  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-05-12. Updated: 2026-05-18  
License: CC BY 4.0 with a link back

CVE-2026-31222 · Severity: high · CVSS 8.8 · Published 2026-05-12

Snorkel is a library used by data scientists to programmatically build and manage training datasets for machine learning. A security flaw in how it loads saved models allows an attacker to execute malicious code on a user's computer. This occurs if a user is tricked into loading a specially crafted model file, potentially leading to a full system compromise or data theft.

Technologies: [snorkel (PyPI)](https://junglewise.ai/threats/technologies/pypi-snorkel), [Snorkel](https://junglewise.ai/threats/technologies/snorkel). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi), [Snorkel](https://junglewise.ai/threats/vendors/snorkel).

## Quick answers

**Is CVE-2026-31222 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-31222 being exploited in the wild.

**How severe is CVE-2026-31222?** High severity, with a CVSS score of 8.8, published 12 May 2026.

**Which products and versions are affected?** snorkel (PyPI) ECOSYSTEM:introduced=0,last_affected=0.10.0.

**Is there a fix for CVE-2026-31222?** No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

**How is CVE-2026-31222 attacked?** It is attacked over the network, in a software library.

**Am I affected by CVE-2026-31222?** Check whether you run snorkel (PyPI) or Snorkel at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

The Snorkel library (up to v0.10.0) contains an insecure deserialization vulnerability (CWE-502) within the Trainer.load() method. The root cause is the use of the torch.load() function without the 'weights_only=True' security parameter enabled. Because torch.load() uses the Python pickle module by default, it can be coerced into instantiating arbitrary Python objects. An attacker can exploit this by providing a maliciously crafted model checkpoint file; when a user or automated system attempts to load this file via the vulnerable method, it results in arbitrary code execution. As of the advisory date, no patched version has been identified.

## Affected products

- Snorkel Team snorkel <= 0.10.0

## Identifiers

- CVE-2026-31222
- GHSA-78cp-f66x-qmh5
- PYSEC-2026-3068

## Timeline

- 2026-05-12: disclosed: CVE-2026-31222 published
- 2026-05-12: advisory: GitHub Advisory GHSA-78cp-f66x-qmh5 published

## References

- [https://github.com/snorkel-team/snorkel](https://github.com/snorkel-team/snorkel)
- [https://www.notion.so/CVE-2026-31222-35d1e139318881db8398e0732af8df6d](https://www.notion.so/CVE-2026-31222-35d1e139318881db8398e0732af8df6d)

## Related threats

- [Snorkel insecure deserialization in MultitaskClassifier](https://junglewise.ai/threats/cve-2026-31224-snorkel-insecure-deserialization-in-multitaskclassifier)
- [Snorkel insecure deserialization in BaseLabeler.load](https://junglewise.ai/threats/cve-2026-31223-snorkel-insecure-deserialization-in-baselabeler-load)