SecretSweeper is a ⚡ fast, in-memory secret-sanitizing Python module written in Zig, designed for 🚀 speed.
About
💡 Just want to remove all secret variables from the terraform plan output or any large file? SecretSweeper is here to help! In a shared Terraform workspace, anyone who can edit a module can add
output "x" { value = var.db_password }– and suddenly everyone who can run plan can read a secret they were never granted access to. SecretSweeper wraps your plan/apply output stream so known secrets get redacted no matter how they end up in it, even from output blocks you didn't write.
SecretSweeper is a Python library that can mask or remove known secrets – API keys,
tokens, credentials – from byte literals, files, or any file-like objects (io.BinaryIO).
- Written in Zig with no third-party dependencies. The core is a plain C-ABI shared library driven through the standard library
ctypesmodule, so a single binary works across Python versions. - Can wrap a file descriptor to read and sanitize data directly from the stream.
- Works well with multi-line secrets.
Installation
pip install secretsweeper
Examples
✨ To mask secrets from the bytes literal:
import secretsweeper
print(secretsweeper.mask(b"Hello, Secret Sweeper!", (b'Secret', b'Sweeper')))
# b'Hello, ****** *******!'
Secrets may be completely removed by providing a third argument, limit=0, which specifies the maximum number of masking characters:
import secretsweeper
print(secretsweeper.mask(b"Moby Dick!", [b" Dick"], limit=0))
# b'Moby!'
To effectively mask all secrets in a large text:
import urllib.request
import secretsweeper
url = "https://raw.githubusercontent.com/annotation/mobydick/main/txt/plain.txt"
with urllib.request.urlopen(url) as src, open("sanitized.txt", "wb") as dest:
stream = secretsweeper.StreamWrapper(
src, (b"Dick", b"savage", b"cannibal", b"harpooner")
)
for line in stream:
dest.write(line)
A more realistic scenario: any multi-tenant Terraform/OpenTofu setup, where someone with plan access shouldn't see secrets they weren't granted:
import json, subprocess, secretsweeper
# Plan as the trusted process. OpenTofu does NOT redact sensitive
# values in JSON output, unlike its human-readable plan text.
subprocess.run(["tofu", "plan", "-out=tfplan"], check=True)
plan = json.loads(subprocess.run(
["tofu", "show", "-json", "tfplan"], capture_output=True, check=True
).stdout)
# Collect every value OpenTofu marked sensitive - variables,
# resource attributes, outputs - however it got there.
known_secrets = {
str(v["value"]).encode()
for v in plan.get("variables", {}).values() if v.get("sensitive")
}
# Only now render the plan a human will see - wrapped, so a leak
# via output blocks (e.g. a stray nonsensitive() call) still gets caught.
proc = subprocess.Popen(["tofu", "show", "tfplan"], stdout=subprocess.PIPE)
for line in secretsweeper.StreamWrapper(proc.stdout, tuple(known_secrets)):
print(line)
The example above only walks top-level variables. Sensitive values nested inside maps, lists, or objects need a recursive walk of after_sensitive, since it mirrors the shape of after:
def collect_sensitive(value, marker):
"""Recursively collect leaf values OpenTofu marked sensitive.
`marker` mirrors the shape of `value` (dict/list of bools) per
the plan JSON format's after_sensitive/before_sensitive convention.
"""
found = set()
if isinstance(marker, dict) and isinstance(value, dict):
for key, sub_marker in marker.items():
if key in value:
found |= collect_sensitive(value[key], sub_marker)
elif isinstance(marker, list) and isinstance(value, list):
for i, sub_marker in enumerate(marker):
if i < len(value):
found |= collect_sensitive(value[i], sub_marker)
elif marker is True:
found.add(str(value).encode())
return found
known_secrets = set()
for var in plan.get("variables", {}).values():
if var.get("sensitive"):
known_secrets.add(str(var["value"]).encode())
for change in plan.get("resource_changes", []):
after = change["change"].get("after") or {}
after_sensitive = change["change"].get("after_sensitive") or {}
known_secrets |= collect_sensitive(after, after_sensitive)
for out in plan.get("output_changes", {}).values():
known_secrets |= collect_sensitive(out.get("after"), out.get("after_sensitive"))
More examples are in tests.
Performance
SecretSweeper's Zig core is within a few percent of the fastest Rust-backed Aho-Corasick implementation available for Python, and multiple times faster than stdlib re or other pure-Python/C-extension alternatives. See benchmarks/RESULTS.md for the full, reproducible comparison (methodology, corpus, and machine specs included).
Getting involved
🌱 Contributions are always welcome – whether it’s a bug report, a small fix, or a big idea. If something here sparks your curiosity, jump in and help shape it. Open an issue or a pull request – even small contributions make a difference. See CONTRIBUTING.md for how to set up a development environment and run the tests.
License
🪪 This is free software: you can redistribute it and/or modify it under the terms of the MIT License. A copy of this license is provided in LICENSE.
1 maintainer
Release files for secretsweeper 0.1.1
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Transparency logRelease files / secretsweeper-0.1.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
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Transparency logRelease files / secretsweeper-0.1.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
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| Size | 67.2 kB |
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twine/6.1.0 CPython/3.13.13
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Transparency logRelease files / secretsweeper-0.1.1-cp311-cp311-macosx_11_0_x86_64.whl
| Download URL | secretsweeper-0.1.1-cp311-cp311-macosx_11_0_x86_64.whl |
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| Size | 23.1 kB |
| Tags | CPython 3.11 macOS 11.0+ x86-64 |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / secretsweeper-0.1.1-cp311-cp311-macosx_11_0_arm64.whl
| Download URL | secretsweeper-0.1.1-cp311-cp311-macosx_11_0_arm64.whl |
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| Size | 23.7 kB |
| Tags | CPython 3.11 macOS 11.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/6.1.0 CPython/3.13.13
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