vulnerability / NVI-00018491 / Revision 1
BentoML has Dockerfile Command Injection via system_packages in bentofile.yaml
GitHub lists this reviewed advisory for bentoml. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.
This report has not inspected your inventory, configuration, deployed build, reachability or evidence. A catalog listing and a severity score do not establish exposure or compromise.
01 / Meaning
Why it matters
Published affected context helps an owner decide what evidence to gather. This report has not examined your application.
7.8 high
GitHub source severity; exploitability and local consequence require separate evidence.
As of · GitHub Advisory Database
02 / Applicability
The affected context
Affected versions, configuration prerequisites and known exclusions are public. Confirm each one against the deployed service.
bentoml
source listed<= 1.4.36
## Summary The `docker.system_packages` field in `bentofile.yaml` accepts arbitrary strings that are interpolated directly into Dockerfile `RUN` commands without sanitization. Since `system_packages` is semantically a list of OS package names (data), users do not expect values to be interpreted as shell commands. A malicious `bentofile.yaml` achieves arbitrary command execution during `bentoml containerize` / `docker build`. ## Affected Component - `src/_bentoml_sdk/images.py:85-89` — `.format(packages=" ".join(packages))` into shell command - `src/bentoml/_internal/container/frontend/dockerfile/templates/base_debian.j2:13` — `{{ __options__system_packages | join(' ') }}` - `src/bentoml/_internal/bento/build_config.py:174` — No validation on `system_packages` - All distro install commands in `src/bentoml/_internal/container/frontend/dockerfile/__init__.py` ## Affected Versions All versions supporting `docker.system_packages` in `bentofile.yaml`, confirmed on 1.4.36. ## Steps to Reproduce 1. Create a project directory with: **service.py:** ```python import bentoml @bentoml.service class MyService: @bentoml.api def predict(self) -> str: return "hello" ``` **
03 / Response
What to do next
- investigate
Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.
Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system. GitHub Advisory Database
A fixed release is not deployment evidence.
Check current vendor support and compatibility. After making a change, verify the deployed build and relevant runtime conditions. Keep the evidence, owner and time. An updated lockfile alone does not prove what is running.
04 / Limits
What this report cannot establish
- Customer inventory, deployment, reachability and exploitation have not been inspected.
05 / Provenance
Sources you can inspect
Each assertion retains its source. Mirrored records may repeat one underlying publisher; additional links are not independent corroboration.
- GHSA-jfjg-vc52-wqvf ↗
GitHub Advisory Database · vendor advisory
Observed . GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.
Public revision history
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- Revision 1 ·
First indexed by Null; source disclosure date is shown separately.