☠️ NullSec DataPoisoning
Training Data Poisoning Detection & Simulation
Detect, simulate, and defend against training data poisoning attacks
🎯 Overview
NullSec DataPoisoning provides tools for detecting and simulating data poisoning attacks against machine learning pipelines. It implements backdoor injection (BadNets, Trojaning), clean-label attacks, and gradient-based poisoning, alongside detection methods like spectral signatures, activation clustering, and STRIP.
⚡ Features
| Feature | Description |
|---|---|
| Backdoor Injection | BadNets, Trojan, blend, and warp triggers |
| Clean-Label Attacks | Feature collision, convex polytope, Witches' Brew |
| Detection Engine | Spectral signatures, activation clustering, STRIP |
| Neural Cleanse | Reverse-engineer trigger patterns from poisoned models |
| Dataset Audit | Scan datasets for anomalous samples and label flips |
| Pipeline Scanner | Audit ML pipelines for poisoning entry points |
📋 Attack & Defence Matrix
| Technique | Category | Type |
|---|---|---|
| BadNets | Backdoor | Attack |
| Trojan Attack | Backdoor | Attack |
| Clean-Label FC | Poisoning | Attack |
| Witches' Brew | Poisoning | Attack |
| Spectral Signatures | Statistical | Defence |
| Activation Clustering | Neural | Defence |
| STRIP | Runtime | Defence |
| Neural Cleanse | Reverse Engineering | Defence |
🚀 Quick Start
# Scan a dataset for poisoning indicators
nullsec-datapoisoning scan --dataset training_data/ --model model.pt
# Simulate backdoor attack
nullsec-datapoisoning inject --dataset clean.csv --trigger patch --target-label 0 --poison-rate 0.01
# Run Neural Cleanse detection
nullsec-datapoisoning cleanse --model suspect_model.pt --num-classes 10
# Audit an ML pipeline config
nullsec-datapoisoning audit --pipeline pipeline.yaml
🔗 Related Projects
| Project | Description |
|---|---|
| nullsec-adversarial | Adversarial ML attack toolkit |
| nullsec-modelaudit | ML model security auditing |
| nullsec-llmred | LLM red-teaming framework |
| nullsec-promptinject | Prompt injection payloads |
| nullsec-linux | Security Linux distro (140+ tools) |
⚠️ Legal
For authorized ML security research only. Poisoning production training data without authorization is illegal.
📜 License
MIT License — @bad-antics
Part of the NullSec AI/ML Security Suite
1 maintainer
Metadata
1 maintainer
Release files for nullsec-datapoisoning 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nullsec_datapoisoning-0.1.0.tar.gz | 10.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nullsec_datapoisoning-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.2 kB
Release files / nullsec_datapoisoning-0.1.0.tar.gz
| Download URL | nullsec_datapoisoning-0.1.0.tar.gz |
|---|---|
| Size | 10.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / nullsec_datapoisoning-0.1.0-py3-none-any.whl
| Download URL | nullsec_datapoisoning-0.1.0-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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