DFF Python Implementation
A Python implementation of the DFF (Differential Fuzzing Framework) that uses Unix domain sockets and System V shared memory for high-performance IPC.
Installation
pip install dff-py
Requirements
- Python 3.9 or higher
- Linux or macOS
Linux
sudo sysctl -w kernel.shmmax=104857600
sudo sysctl -w kernel.shmall=256000
macOS
sudo sysctl -w kern.sysv.shmmax=104857600
sudo sysctl -w kern.sysv.shmall=256000
Usage
Example Client
import sys
import hashlib
from pathlib import Path
from dff import Client
def process_sha(method: str, inputs: list[bytes]) -> bytes:
"""Process function for SHA256 hashing.
Args:
method: The fuzzing method (should be "sha")
inputs: List of byte arrays to hash
Returns:
SHA256 hash of the first input
Raises:
ValueError: If method is not "sha" or no inputs provided
"""
if method != "sha":
raise ValueError(f"Unknown method: {method}")
if not inputs:
raise ValueError("No inputs provided")
return hashlib.sha256(inputs[0]).digest()
def main() -> None:
"""Main entry point."""
client = Client("python", process_sha)
try:
client.connect()
client.run()
except KeyboardInterrupt:
print("\nShutdown requested")
except Exception as e:
print(f"Error: {e}", file=sys.stderr)
sys.exit(1)
finally:
client.close()
if __name__ == "__main__":
main()
Example Server
import sys
import random
from pathlib import Path
from dff import Server
def data_provider() -> list[bytes]:
"""Generate random data for fuzzing.
Returns:
List containing a single random byte array
"""
MIN_SIZE = 1 * 1024 * 1024 # 1 MB
MAX_SIZE = 4 * 1024 * 1024 # 4 MB
# Use a deterministic seed that increments
if not hasattr(data_provider, "seed_counter"):
data_provider.seed_counter = 1
seed = data_provider.seed_counter
data_provider.seed_counter += 1
# Generate random data with deterministic seed
random.seed(seed)
size = random.randint(MIN_SIZE, MAX_SIZE)
data = random.randbytes(size)
return [data]
def main() -> None:
"""Main entry point."""
server = Server("sha")
try:
server.run(data_provider)
except KeyboardInterrupt:
print("\nShutdown requested")
except Exception as e:
print(f"Server error: {e}", file=sys.stderr)
sys.exit(1)
if __name__ == "__main__":
main()
Metadata
Release files for dff-py 0.1.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dff_py-0.1.12.tar.gz | 9.8 kB | Without provenance | Details for dff_py-0.1.12.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dff_py-0.1.12-py3-none-any.whl | Python 3 | none | any | Details for dff_py-0.1.12-py3-none-any.whl |
Total release size: 20.2 kB
Release files / dff_py-0.1.12.tar.gz
| Download URL | dff_py-0.1.12.tar.gz |
|---|---|
| Size | 9.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3b476fef2e39db69a6455413c243712d19777836d8f5ae9fbd73e6dc017b8a04
|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
Release files / dff_py-0.1.12-py3-none-any.whl
| Download URL | dff_py-0.1.12-py3-none-any.whl |
|---|---|
| Size | 10.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
df6cb460d66d01708abe1d875264c351d4819c4140e32aa466962b446ea1b936
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
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