Palisade Scanner 🔍
Try it live on HuggingFace Spaces — scan any URL without installing anything.
Scan web content for prompt injection, hidden instructions, and adversarial content targeting AI agents.
AI agents browse the web, read documents, and consume external content. Adversaries hide instructions in invisible text, HTML metadata, encoded payloads, and zero-width characters — Palisade finds them all.
What makes Palisade unique
| Capability | Palisade Scanner | Manual review | Generic scrapers |
|---|---|---|---|
| Hidden text detection | ✅ 20+ CSS/HTML techniques | ❌ | ❌ |
| Injection pattern matching | ✅ 100+ regexes, 5 categories | ❌ | ❌ |
| LLM-as-judge classifier | ✅ understands adversarial intent | N/A | ❌ |
| Metadata analysis | ✅ comments, JSON-LD, meta, data attrs | ❌ | ❌ |
| Exfiltration detection | ✅ URLs, eval(), fetch(), redirects | ❌ | ❌ |
| MCPGuard policy generation | ✅ auto-generate rules | ❌ | ❌ |
| CI/CD mode | ✅ --ci --threshold high |
❌ | ❌ |
| Zero-width character detection | ✅ | ❌ | ❌ |
Why
AI agents browse the web, read documents, and consume external content. Adversaries can hide instructions in:
- Invisible text (white-on-white, zero font size, off-screen positioning)
- HTML comments and metadata
- Base64 encoded payloads
- Zero-width character injections
- Instructions disguised as product descriptions or reviews
This scanner finds them all and tells you what to do about it.
Quick Start
# Install
pip install palisade-scanner
# CLI: scan a URL
pis scan https://example.com
# or
palisade scan https://example.com
# Web UI: open the dashboard
pis web
# Docker
docker compose up
# → http://localhost:8000
Usage
CLI
# Scan a URL
pis scan https://example.com
# Scan a local file
pis scan --file suspicious.html
# Scan pasted text
pis scan --paste "<!-- ignore instructions -->"
# JSON output
pis scan https://example.com --format json
# CI/CD mode (exit code reflects risk)
pis scan https://example.com --ci --threshold high
# Generate MCPGuard policy rules
pis policies https://evil-site.com
API
# Scan via REST API
curl "http://localhost:8000/api/scan?url=https://example.com"
# HTML report
curl "http://localhost:8000/api/scan/https://example.com"
How It Works
Detection Layers
| Layer | What It Detects |
|---|---|
| Hidden Text Detector | 20+ CSS/HTML hiding techniques (display:none, visibility, opacity, color matching, off-screen, zero-width chars, HTML comments) |
| Injection Pattern Matcher | 100+ regex patterns across 5 categories (jailbreak, role override, exfiltration, tool manipulation, impersonation) |
| Instruction Classifier | LLM-as-judge that understands adversarial intent (requires API key) |
| Metadata Analyzer | HTML comments, JSON-LD, meta tags, data attributes, <noscript>, <template> |
| Exfiltration Detector | URLs, endpoints, eval() patterns, redirect attempts, fetch() calls |
Scoring
Risk Score: 0-100
Weighted formula:
base = 100
- critical * 25
- high * 10
- medium * 3
- low * 1
Categories: none (0-5) → low (6-20) → medium (21-50) → high (51-80) → critical (81-100)
Architecture
User (CLI / Web / API)
│
▼
PipelineOrchestrator
│
├── Loader (URL / File / Paste / PDF)
│
├── Detector Pipeline (parallel)
│ ├── HiddenTextDetector
│ ├── InjectionPatternMatcher
│ ├── MetadataAnalyzer
│ ├── ExfiltrationDetector
│ └── InstructionClassifier (LLM)
│
├── ScoringEngine
│
└── Reporters
├── JSON / Markdown / Simple
├── Policy Generator (MCPGuard)
└── Web UI (HTMX)
Project Structure
src/scanner/
├── cli.py # Typer CLI
├── api.py # FastAPI web app
├── config.py # Settings (env vars)
├── domain/
│ ├── models.py # Pydantic models
│ └── scoring.py # Risk score engine
├── loaders/
│ ├── url.py # HTTP URL fetcher
│ ├── pdf.py # PDF extractor
│ └── paste.py # Raw text
├── detectors/
│ ├── hidden_text.py # CSS/HTML hiding
│ ├── injection_patterns.py # 100+ regex patterns
│ ├── instruction_classifier.py # LLM-as-judge
│ ├── metadata_analyzer.py # Comments/meta/tags
│ └── exfiltration.py # Data theft patterns
├── pipeline/
│ └── orchestrator.py # Scan pipeline
├── reporters/ # JSON/MD/Simple output
├── policies/ # MCPGuard rule generation
└── utils/ # DOM helpers
Integration
MCPGuard
Generate rules compatible with MCPGuard:
pis scan https://evil-site.com --format mcpguard > rules.yaml
mcpguard load-rules rules.yaml
CI/CD
# .github/workflows/check-urls.yml
- name: Scan for prompt injection
run: |
pis scan ${{ matrix.url }} --ci --threshold medium
Roadmap
- v0.1 — Scanner core: CLI, 5 detectors, scoring, policy generation
- v0.2 — Live Monitor: scheduled re-scans, webhook alerts, diff detection
- v0.3 — Agent Validator: Browser Use agent tests pages in real time
- v0.4 — Content Safety Proxy: reverse proxy that strips injections
- v0.5 — Reputation Engine: web of trust for agent-safe URLs
- v0.6 — Red Team Lab: adversarial page generator + benchmark suite
- v0.7 — Certification Pipeline: verified AgentSafe badges
Related Projects
- MCPGuard — Runtime security proxy for MCP
- MCPwn — Offensive security testing for MCP
- MCPscop — Unified security dashboard
License
MIT
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