hermetic
This is lightweight sandboxing for semi-trusted code or for disabling APIs in unit tests. What is semi-trusted code? Things like pluggy plugins, LLM generated code. Unit test code is trusted, but as design decision, you may want to avoid accidentally creating integration tests.
Run a python tool, or your application with certain APIs disabled, such as network or subprocess.
The previously safe library you depend on was hijacked and will be sending your password files to a remote server. Or you installed this and the malicious hackers didn't include evasive code to defeat this fig leaf of a security feature and the day is saved.
If Alice and Bob know about your application and specifically are targeting this, this tool won't help. See docs for a discussion of how to defeat hermetic-seal.
Usage
Programmatic API
You can use hermetic directly in your Python code via the hermetic_blocker context manager or the @with_hermetic
decorator.
Decorator
The @with_hermetic decorator is the easiest way to apply guards to an entire function.
from hermetic import with_hermetic
import requests
@with_hermetic(block_network=True, allow_domains=["api.internal.com"])
def process_data():
# This will fail because all network access is blocked by default.
# requests.get("https://example.com") # --> raises PolicyViolation
# This is allowed because the domain is on the allow-list.
return requests.get("https://api.internal.com/data")
process_data()
Context Manager
For more granular control, use the hermetic_blocker context manager.
from hermetic import hermetic_blocker
import os
def check_system():
# Subprocesses are allowed here
os.system("echo 'Checking system...'")
with hermetic_blocker(block_subprocess=True):
# Inside this block, os.system() would raise a PolicyViolation
print("Running in a sandboxed context.")
os.system("echo 'This will fail.'") # --> raises PolicyViolation
# Subprocesses are allowed again
os.system("echo 'Exited sandbox.'")
check_system()
Where could this work?
There are APIs you don't need but an application or 3rd party library you depend on needs. So you block them.
The 3rd party library must be unaware of hermetic or monkeypatching. Import order is important, hermetic must run early enough to intercept all imports to the banned API. Then use of the banned API is blocked and the whole app stops.
This already works in unit testing where there isn't an adversarial relationship between the developers testing the code and writing the code under test, where you block network traffic to guarantee a unit test is pure of network side effects.
Is this defeatable?
Yes, by many routes. Native code, import order tricks, undoing a monkey patch, bringing along a vendorized copy of APIs, and so on.
This is "envelope instead of postcard" level security. This is "lock your door with standard key that can be picked with a $5 purchase on Ebay" level security.
Real sandboxing is running your code in a docker container.
Prior Art
This technique of monkey-patching for isolation is well-established, particularly in the testing ecosystem.
- pytest-socket: Disables sockets during tests.
- pytest-network: Disables networking during tests.
For stronger sandboxing, consider:
- pysandbox: Uses Linux
seccompfor kernel-level syscall filtering. - RestrictedPython: Rewrites Python AST to enforce constraints.
- Docker: OS-level virtualization.
Command-Line Interface
Use the hermetic command to run any Python console script, separating its arguments with --.
Syntax: hermetic [flags] -- <command> [command_args]
Common Flags:
--no-network: Disable all network activity.--allow-localhost: Allows network connections to localhost (used with--no-network).--allow-domain <domain>: Allows connections to a specific domain (repeatable).--no-subprocess: Disable creating new processes.--fs-readonly[=/path/to/root]: Make the filesystem read-only. Optionally, restrict all reads to be within the specified root directory.--no-environment: Disable environment variable reads and mutations.--no-code-exec: Disableeval,exec,compile, andrunpyexecution helpers.--deny-import <module>: Deny importing a module or package prefix (repeatable).--no-interpreter-mutation: Disablesys.path,cwd, andsitemutation surfaces.--block-native: Block imports of native C extensions.--profile <name>: Apply a pre-configured profile (e.g.,block-all).--trace: Print a message to stderr when an action is blocked.
CLI Examples:
Block network access for the httpie tool:
$ hermetic --no-network -- http [https://example.com](https://example.com)
hermetic: blocked action: network disabled: DNS(example.com)
Run a script in a read-only filesystem where it can only read from ./sandbox:
$ hermetic --fs-readonly=./sandbox -- python my_script.py
# my_script.py will raise PolicyViolation if it tries to read outside ./sandbox
# or write anywhere.
Apply the block-all profile to completely lock down a script:
$ hermetic --profile block-all -- my_analyzer.py --input data.csv
Project Links
Metadata
Release files for hermetic-seal 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hermetic_seal-1.0.0.tar.gz | 34.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hermetic_seal-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 77.9 kB
Release files / hermetic_seal-1.0.0.tar.gz
| Download URL | hermetic_seal-1.0.0.tar.gz |
|---|---|
| Size | 34.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fc2e0c6578db78af4bde13bddd166e8d3f494a798eaf5b6b568e0e7b7fa002ae
|
|
BLAKE2b-256 checksum How to use checksums |
92fd7ab64877de9fa5faf5a255bb85ffc62feca5556cb0192fd35dcee2c4e964
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 30, 2026.
Transparency logRelease files / hermetic_seal-1.0.0-py3-none-any.whl
| Download URL | hermetic_seal-1.0.0-py3-none-any.whl |
|---|---|
| Size | 43.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ad5587e642d6c9222774bef5ab5ed6823787aef6f48b71daa074111475c0cfd1
|
|
BLAKE2b-256 checksum How to use checksums |
cc1f90b5395de71af800bd11f2a1a7c46a7440b94ad6ca5b56225885fc345dd1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 30, 2026.
Transparency log