# CVE-2026-44346: BentoML command injection in Dockerfile generation via bentofile.yaml

Source: https://junglewise.ai/threats/cve-2026-44346-bentoml-command-injection-in-dockerfile-generation-via-bentofile  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-05-27. Updated: 2026-06-09  
License: CC BY 4.0 with a link back

CVE-2026-44346 · Severity: high · CVSS 8.8 · Published 2026-05-27

BentoML is a platform for building and deploying machine learning models. A vulnerability exists where a specially crafted configuration file can inject malicious commands into the container build process. If a user imports a malicious model and attempts to containerize it, an attacker could execute arbitrary code on the user's build machine, potentially leading to data theft or full system compromise.

Technologies: [bentoml (PyPI)](https://junglewise.ai/threats/technologies/bentoml). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is CVE-2026-44346 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-44346 being exploited in the wild.

**How severe is CVE-2026-44346?** High severity, with a CVSS score of 8.8, published 27 May 2026.

**Which products and versions are affected?** bentoml (PyPI) <= 1.4.38, ECOSYSTEM:introduced=0,fixed=1.4.39.

**Is there a fix for CVE-2026-44346?** Yes. bentoml (PyPI): upgrade to 1.4.39 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**How is CVE-2026-44346 attacked?** It is attacked over the network, in a software library.

**Am I affected by CVE-2026-44346?** Check whether you run bentoml (PyPI) 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

- bentoml (PyPI): upgrade to 1.4.39 or later

  ```sh
  pip install "bentoml>=1.4.39"
  ```


## Technical details

A command injection vulnerability exists in BentoML's Dockerfile generation logic. The `envs[*].name` field in `bentofile.yaml` is interpolated raw into Jinja2 templates (specifically `base_v2.j2`) without proper escaping or newline filtering. An attacker can craft a `bentofile.yaml` with newline-injected values in the environment variable names to insert arbitrary `RUN` directives into the resulting Dockerfile. When a victim runs `bentoml containerize` on a malicious bento, these injected commands execute on the host during the `docker build` phase. This is a sibling vulnerability to CVE-2026-33744 and CVE-2026-35043, which addressed similar issues in other fields. The issue is fixed in version 1.4.39.

## Affected products

- BentoML bentoml <= 1.4.38

## Identifiers

- CVE-2026-44346
- GHSA-w2pm-x38x-jp44
- PYSEC-2026-190

## Timeline

- 2026-05-11: advisory: GitHub Advisory GHSA-w2pm-x38x-jp44 published
- 2026-05-27: disclosed: NVD publication of CVE-2026-44346
- 2026-05-07: patched: Version 1.4.39 released

## References

- [https://api.github.com/users/SSJCorpSec](https://api.github.com/users/SSJCorpSec)
- [https://github.com/SSJCorpSec](https://github.com/SSJCorpSec)
- [https://api.github.com/users/SSJCorpSec/gists%7B/gist_id%7D](https://api.github.com/users/SSJCorpSec/gists%7B/gist_id%7D)
- [https://api.github.com/users/SSJCorpSec/repos](https://api.github.com/users/SSJCorpSec/repos)
- [https://avatars.githubusercontent.com/u/220600175?v=4](https://avatars.githubusercontent.com/u/220600175?v=4)
- [https://api.github.com/users/SSJCorpSec/events%7B/privacy%7D](https://api.github.com/users/SSJCorpSec/events%7B/privacy%7D)

## Related threats

- [bentoml OpenLLM command injection in Model Repository Directory Name Handler](https://junglewise.ai/threats/cve-2026-15035-bentoml-openllm-command-injection-in-model-repository-directory)
- [PYSEC-2026-1218 - BentoML has a Path Traversal via Bentofile Configuration](https://junglewise.ai/threats/cve-2026-24123-bentoml-has-a-path-traversal-via-bentofile-configuration)
- [PYSEC-2026-1219 - BentoML Denial of Service (DoS) via Multipart Boundary](https://junglewise.ai/threats/cve-2024-9056-bentoml-denial-of-service-dos-via-multipart-boundary)
- [BentoML command injection in Dockerfile base_image template](https://junglewise.ai/threats/cve-2026-44345-bentoml-command-injection-in-dockerfile-base-image-template)
- [BentoML information disclosure via symlink traversal in build context](https://junglewise.ai/threats/cve-2026-40610-bentoml-information-disclosure-via-symlink-traversal-in-build)