Is CVE-2026-119578 exploited in the wild?

No. Junglewise Threat Intelligence has no report of CVE-2026-119578 being exploited in the wild.

How severe is CVE-2026-119578?

High severity, with a CVSS score of 7.8, published 30 October 2026.

Which products and versions are affected?

Project-MONAI MONAI 1.6.0 through 1.6.0rc1.

Is there a fix for CVE-2026-119578?

Yes: fixed in 1.6.1. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

How is CVE-2026-119578 attacked?

It is attacked with local access, in a software library.

Am I affected by CVE-2026-119578?

Check whether you run Project-MONAI MONAI 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.

CVE-2026-119578: MONAI Auto3DSeg remote code execution via algo_from_json

CVE-2026-119578 · Severity: high · CVSS 7.8 · Published 2026-10-30

MONAI is a medical imaging AI framework used to build and train deep learning models. A vulnerability in the Auto3DSeg module allows attackers to execute arbitrary Python code when a researcher or clinician loads a shared work directory (such as a benchmark or trained model bundle) through AutoRunner or import_bundle_algo_history. An attacker can create a malicious directory that runs code with the privileges of the victim user as soon as it is loaded, without requiring any user interaction beyond opening the bundle.

Technologies: Project-MONAI MONAI. Vendors: Project-MONAI.

Quick answers

Is CVE-2026-119578 exploited in the wild?: No. Junglewise Threat Intelligence has no report of CVE-2026-119578 being exploited in the wild.
How severe is CVE-2026-119578?: High severity, with a CVSS score of 7.8, published 30 October 2026.
Which products and versions are affected?: Project-MONAI MONAI 1.6.0 through 1.6.0rc1.
Is there a fix for CVE-2026-119578?: Yes: fixed in 1.6.1. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
How is CVE-2026-119578 attacked?: It is attacked with local access, in a software library.
Am I affected by CVE-2026-119578?: Check whether you run Project-MONAI MONAI 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.

How to fix

Fixed in: 1.6.1

Technical details

The algo_from_json() function in Auto3DSeg reads an untrusted algo_object.json file and directly instantiates the _target_ field via ConfigParser.instantiate(), which uses pydoc.locate to import and call the named Python class. The function also adds attacker-controlled directories (algorithm_templates and template_path) to sys.path before instantiation, allowing a malicious module to be imported and executed. This occurs during AutoRunner construction before any dataset validation, with no MONAI_ALLOW_PICKLE gating in the default configuration.

Affected products

Project MONAI MONAI 1.6.0 through 1.6.0rc1

Timeline

2026-10-15: disclosed
2026-10-30: advisory

References

This page as Markdown. Free to reuse under CC BY 4.0 with a link back.