Описание
BentoML has a Path Traversal via Bentofile Configuration
Summary
BentoML's bentofile.yaml configuration allows path traversal attacks through multiple file path fields (description, docker.setup_script, docker.dockerfile_template, conda.environment_yml). An attacker can craft a malicious bentofile that, when built by a victim, exfiltrates arbitrary files from the filesystem into the bento archive. This enables supply chain attacks where sensitive files (SSH keys, credentials, environment variables) are silently embedded in bentos and exposed when pushed to registries or deployed.
Details
The vulnerability exists in how BentoML resolves user-provided file paths without validating that they remain within the build context directory.
Vulnerable function in src/bentoml/_internal/utils/filesystem.py:114-131:
Vulnerable code in src/bentoml/_internal/bento/bento.py:348-355:
All four vulnerable fields:
description: "file:../../../etc/passwd"→ copied toREADME.mddocker.setup_script: "../../../etc/passwd"→ copied toenv/docker/setup_scriptdocker.dockerfile_template: "../../../secret"→ copied toenv/docker/Dockerfile.templateconda.environment_yml: "../../../etc/hosts"→ copied toenv/conda/environment.yml
Multiple path formats are supported, making exploitation trivial:
| Format | description | setup_script | dockerfile_template | environment_yml |
|---|---|---|---|---|
Absolute paths (/etc/passwd) | Yes | Yes | Yes | Yes |
Tilde expansion (~/.ssh/id_rsa) | No | Yes | Yes | Yes |
Env vars ($HOME/.aws/credentials) | No | Yes | Yes | Yes |
Relative traversal (../../../etc/passwd) | Yes | Yes | Yes | Yes |
Proc filesystem (/proc/self/environ) | Yes | Yes | Yes | Yes |
The description field uses pathlib.Path.joinpath() directly, while other fields use resolve_user_filepath() which calls os.path.expanduser() and os.path.expandvars().
The /proc/self/environ vector is particularly dangerous in CI/CD pipelines where secrets are commonly passed as environment variables (AWS_SECRET_ACCESS_KEY, GITHUB_TOKEN, DATABASE_PASSWORD, etc.).
PoC
- Create a minimal service:
- Create malicious
bentofile.yaml. Multiple attack vectors are available:
Vector 1: Exfiltrate /etc/passwd via description field
Vector 2: Exfiltrate all environment variables (CI/CD secrets)
Vector 3: Exfiltrate files using environment variable expansion (docker fields only)
Vector 4: Exfiltrate files using tilde expansion (docker fields only)
Note: The description field does not support ~ or $VAR expansion. Use absolute paths or relative traversal for description. The docker.* and conda.* fields support all path formats.
- Run build:
- Verify exfiltration:
The exfiltrated contents are embedded in the bento archive and will be included in any push, export, or containerization of the bento.
Impact
Who is impacted: Any user who runs bentoml build on an untrusted bentofile.yaml (e.g., cloned from a malicious repository).
Attack scenarios:
- Supply chain attack: Malicious contributor adds path traversal to a public ML project; anyone who clones and pushes their built model has their files exfiltrated
- CI/CD environment variable theft: Using
file:/proc/self/environ, an attacker can exfiltrate ALL environment variables from the build process. CI/CD pipelines commonly inject secrets this way (AWS_SECRET_ACCESS_KEY,GITHUB_TOKEN,DATABASE_URL, etc.), making this a single-payload method to steal all pipeline secrets. - BentoCloud exfiltration: When victims push compromised bentos to BentoCloud (
bentoml push), exfiltrated files are uploaded to the cloud platform. Any user with access to the BentoCloud organization (team members, contractors, or attackers with compromised accounts) can download the bento and extract stolen credentials. This turns BentoCloud into an unwitting exfiltration channel. - Data theft: Proprietary source code, configuration files, or database credentials embedded in bentos pushed to shared registries or BentoCloud deployments
Пакеты
bentoml
< 1.4.34
1.4.34
Связанные уязвимости
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to version 1.4.34, BentoML's `bentofile.yaml` configuration allows path traversal attacks through multiple file path fields (`description`, `docker.setup_script`, `docker.dockerfile_template`, `conda.environment_yml`). An attacker can craft a malicious bentofile that, when built by a victim, exfiltrates arbitrary files from the filesystem into the bento archive. This enables supply chain attacks where sensitive files (SSH keys, credentials, environment variables) are silently embedded in bentos and exposed when pushed to registries or deployed. Version 1.4.34 contains a patch for the issue.