Phillip Tarrant
3a24b392f2
- API: add `POST /api/analyze_script` (app/blueprints/api.py)
- Fetch one external script to artifacts, run rules, return findings + snippet
- Uses new ExternalScriptFetcher (results_path aware) and job UUID
- Returns: { ok, final_url, status_code, bytes, truncated, sha256, artifact_path, findings[], snippet, snippet_len }
- TODO: document in openapi/openapi.yaml
- Fetcher: update `app/utils/external_fetch.py`
- Constructed with `results_path` (UUID dir); writes to `<results_path>/scripts/fetched/<index>.js`
- Loads settings via `get_settings()`, logs via std logging
- UI (results.html):
- Move “Analyze external script” action into **Content Snippet** column for external rows
- Clicking replaces button with `<details>` snippet, shows rule matches, and adds “open in viewer” link
- Robust fetch handler (checks JSON, shows errors); builds viewer URL from absolute artifact path
- Viewer:
- New route: `GET /view/artifact/<run_uuid>/<path:filename>` (app/blueprints/ui.py)
- New template: Monaco-based read-only code viewer (viewer.html)
- Removes SRI on loader to avoid integrity block; loads file via `raw_url` and detects language by extension
- Forms:
- Refactor `analyze_forms` to mirror scripts analysis:
- Uses rule engine (`category == "form"`) across regex/function rules
- Emits rows only when matches exist
- Includes `content_snippet`, `action`, `method`, `inputs`, `rules`
- Replace legacy plumbing (`flagged`, `flag_reasons`, `status`) in output
- Normalize form function rules to canonical returns `(bool, Optional[str])`:
- `form_action_missing`
- `form_http_on_https_page`
- `form_submits_to_different_host`
- Add minor hardening (lowercasing hosts, no-op actions, clearer reasons)
- CSS: add `.forms-table` to mirror `.scripts-table` (5 columns)
- Fixed table layout, widths per column, chip/snippet styling, responsive tweaks
- Misc:
- Fix “working outside app context” issue by avoiding `current_app` at import time (left storage logic inside routes)
- Add “View Source” link to open page source in viewer
Refs:
- Roadmap: mark “Source code viewer” done; keep TODO to add `/api/analyze_script` to OpenAPI
549 lines
21 KiB
Python
549 lines
21 KiB
Python
"""
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app/browser.py
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Singleton, lazily-loaded page fetcher + analysis orchestrator for SneakyScope.
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Responsibilities:
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- Fetch a URL (HTML, redirects, etc.)
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- Run the Suspicious Rules Engine (PASS/FAIL for all rules)
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- Write artifacts (screenshot.png, source.txt, results.json) into /data/<run_uuid>/
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- Return a single 'result' dict suitable for UI and future API
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Design notes:
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- Detection logic (regex/heuristics) lives in the rules engine (YAML/function rules).
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- This module keeps "plumbing" only (fetch, extract, persist).
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- Minimal non-detection heuristics remain here (e.g., skip benign script MIME types).
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Assumptions:
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- Flask app context is active (uses current_app for logger and RULE_ENGINE).
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- SANDBOX_STORAGE is configured (default: /data).
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- enrich_url(url) returns enrichment dict.
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"""
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from __future__ import annotations
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import json
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import uuid
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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from urllib.parse import urlparse
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from bs4 import BeautifulSoup
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from flask import current_app
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from playwright.async_api import async_playwright, TimeoutError as PWTimeoutError
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from app.utils.io_helpers import safe_write
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from app.utils.enrichment import enrich_url
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from app.utils.settings import get_settings
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# Load settings once for constants / defaults
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settings = get_settings()
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class Browser:
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"""
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Orchestrates page fetching and analysis. Meant to be accessed via the
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lazily-loaded singleton factory `get_browser()`.
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"""
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def __init__(self, storage_dir: Optional[Path] = None) -> None:
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"""
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Args:
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storage_dir: Base directory for run artifacts. Defaults to settings.sandbox.storage
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(typically /data) if not provided.
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"""
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if storage_dir is None:
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try:
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# Prefer your settings model’s configured storage path
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storage_dir = Path(settings.sandbox.storage)
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except Exception:
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storage_dir = Path("/data")
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self.storage_dir: Path = storage_dir
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# -----------------------------------------------------------------------
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# Engine access helpers
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# -----------------------------------------------------------------------
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@staticmethod
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def _get_rule_engine():
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"""
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Retrieve the rules engine instance from the Flask application config.
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Returns:
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RuleEngine or None: The engine if available, or None if not configured.
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"""
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try:
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return current_app.config.get("RULE_ENGINE")
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except Exception:
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return None
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@staticmethod
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def _summarize_results(results: List[Dict[str, Any]]) -> Dict[str, int]:
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"""
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Summarize a list of engine rule result dicts (result = "PASS"|"FAIL").
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Returns:
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{'fail_count': int, 'total_rules': int}
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"""
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summary = {"fail_count": 0, "total_rules": 0}
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index = 0
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total = len(results)
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while index < total:
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item = results[index]
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summary["total_rules"] = summary["total_rules"] + 1
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if str(item.get("result", "")).upper() == "FAIL":
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summary["fail_count"] = summary["fail_count"] + 1
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index = index + 1
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return summary
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def run_rule_checks(self, text: str, category: str) -> Dict[str, Any]:
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"""
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Run all rules for a given category against provided text, returning a table-friendly model.
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Args:
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text: Text to analyze (HTML, snippet, etc.)
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category: One of 'form', 'script', 'text' (or any category your rules use)
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Returns:
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{
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"checks": [
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{ "name": str, "description": str, "category": str,
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"result": "PASS"|"FAIL", "reason": Optional[str],
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"severity": Optional[str], "tags": Optional[List[str]] }, ...
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],
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"summary": { "fail_count": int, "total_rules": int }
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}
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"""
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out: Dict[str, Any] = {"checks": [], "summary": {"fail_count": 0, "total_rules": 0}}
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engine = self._get_rule_engine()
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if engine is None:
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return out
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try:
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engine_results = engine.run_all(text, category=category) # list of dicts
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index = 0
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total = len(engine_results)
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while index < total:
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item = engine_results[index]
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normalized = {
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"name": item.get("name"),
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"description": item.get("description"),
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"category": item.get("category"),
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"result": item.get("result"), # "PASS" | "FAIL"
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"reason": item.get("reason"), # present on FAIL by engine design
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"severity": item.get("severity"),
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"tags": item.get("tags"),
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}
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out["checks"].append(normalized)
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index = index + 1
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out["summary"] = self._summarize_results(out["checks"])
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except Exception as exc:
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# Preserve shape; record the error as a synthetic PASS (so UI doesn't break)
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out["checks"].append({
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"name": "engine_error",
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"description": "Rule engine failed during evaluation",
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"category": category,
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"result": "PASS",
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"reason": f"{exc}",
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"severity": None,
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"tags": None
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})
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out["summary"] = {"fail_count": 0, "total_rules": 1}
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return out
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def build_rule_checks_overview(self, full_html_text: str) -> List[Dict[str, Any]]:
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"""
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Build a top-level overview for the results page: runs each category across
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the entire HTML and groups results by category.
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Returns:
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[
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{"category": "script", "results": [ ...engine dicts... ], "summary": {...}},
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{"category": "form", "results": [ ... ], "summary": {...}},
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{"category": "text", "results": [ ... ], "summary": {...}},
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]
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"""
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overview: List[Dict[str, Any]] = []
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engine = self._get_rule_engine()
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categories = ["script", "form", "text"]
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index = 0
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total = len(categories)
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while index < total:
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cat = categories[index]
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block = {"category": cat, "results": [], "summary": {"fail_count": 0, "total_rules": 0}}
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if engine is not None:
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try:
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results = engine.run_all(full_html_text, category=cat)
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block["results"] = results
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block["summary"] = self._summarize_results(results)
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except Exception as exc:
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block["results"] = [{
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"name": "engine_error",
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"description": "Rule engine failed during overview evaluation",
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"category": cat,
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"result": "PASS",
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"reason": f"{exc}",
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"severity": None,
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"tags": None
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}]
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block["summary"] = {"fail_count": 0, "total_rules": 1}
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overview.append(block)
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index = index + 1
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return overview
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# -----------------------------------------------------------------------
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# Form & Script analysis (plumbing only; detection is in the rules engine)
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# -----------------------------------------------------------------------
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def analyze_forms(self, html: str, base_url: str = "") -> List[Dict[str, Any]]:
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"""
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Collect form artifacts and evaluate per-form matches via the rules engine.
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Only include rows that matched at least one rule.
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Returns list of dicts with keys (per matched form):
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- type: "form"
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- action, method, inputs
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- content_snippet: str
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- rules: List[{name, description, severity?, tags?}]
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"""
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soup = BeautifulSoup(html, "lxml")
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results: List[Dict[str, Any]] = []
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engine = self._get_rule_engine()
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base_hostname = urlparse(base_url).hostname or ""
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# Match how scripts picks preview len
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try:
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preview_len = getattr(settings.ui, "snippet_preview_len", 200) # keep parity with scripts
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except Exception:
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preview_len = 200
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for form in soup.find_all("form"):
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try:
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action = (form.get("action") or "").strip()
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method = (form.get("method") or "get").strip().lower()
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inputs: List[Dict[str, Any]] = []
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for inp in form.find_all("input"):
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inputs.append({
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"name": inp.get("name"),
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"type": (inp.get("type") or "text").strip().lower(),
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})
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# Use the actual form markup for regex rules
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form_markup = str(form)
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# UI-friendly snippet
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content_snippet = form_markup[:preview_len]
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matches: List[Dict[str, Any]] = []
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if engine is not None:
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for r in getattr(engine, "rules", []):
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if getattr(r, "category", None) != "form":
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continue
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rtype = getattr(r, "rule_type", None)
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try:
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ok = False
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reason = ""
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if rtype == "regex":
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# Run against the raw form HTML
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ok, reason = r.run(form_markup)
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elif rtype == "function":
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# Structured facts for function-style rules
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facts = {
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"category": "form",
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"base_url": base_url,
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"base_hostname": base_hostname,
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"action": action,
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"action_hostname": urlparse(action).hostname or "",
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"method": method,
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"inputs": inputs,
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"markup": form_markup,
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}
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ok, reason = r.run(facts)
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else:
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continue
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if ok:
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matches.append({
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"name": getattr(r, "name", "unknown_rule"),
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"description": (reason or "") or getattr(r, "description", ""),
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"severity": getattr(r, "severity", None),
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"tags": getattr(r, "tags", None),
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})
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except Exception as rule_exc:
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# Be defensive—bad rule shouldn't break the form pass
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try:
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self.logger.debug("Form rule error", extra={"rule": getattr(r, "name", "?"), "error": str(rule_exc)})
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except Exception:
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pass
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continue
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if matches:
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results.append({
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"type": "form",
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"action": action,
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"method": method,
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"inputs": inputs,
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"content_snippet": content_snippet,
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"rules": matches,
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})
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except Exception as exc:
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# Keep analysis resilient
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try:
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self.logger.error("Form analysis error", extra={"error": str(exc)})
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except Exception:
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pass
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results.append({
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"type": "form",
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"heuristics": [f"Form analysis error: {exc}"],
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})
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return results
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def analyze_scripts(self, html: str, base_url: str = "") -> List[Dict[str, Any]]:
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"""
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Collect script artifacts and evaluate per-script matches via the rules engine.
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Only include rows that matched at least one rule.
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"""
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soup = BeautifulSoup(html, "lxml")
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results: List[Dict[str, Any]] = []
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benign_types = {"application/ld+json", "application/json"}
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engine = self._get_rule_engine()
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base_hostname = urlparse(base_url).hostname or ""
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for script in soup.find_all("script"):
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try:
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src = (script.get("src") or "").strip()
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s_type_attr = (script.get("type") or "").strip().lower()
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inline_text = script.get_text(strip=True) or ""
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if s_type_attr in benign_types:
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continue
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record: Dict[str, Any] = {}
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if src:
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record["type"] = "external"
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record["src"] = src
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elif inline_text:
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# respect your UI snippet config
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preview_len = getattr(settings.ui, "snippet_preview_len", 200)
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record["type"] = "inline"
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record["content_snippet"] = (inline_text[:preview_len]).replace("\n", " ")
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else:
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record["type"] = "unknown"
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matches: List[Dict[str, Any]] = []
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if engine is not None:
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if inline_text:
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for r in engine.rules:
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if getattr(r, "category", None) == "script" and getattr(r, "rule_type", None) == "regex":
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ok, reason = r.run(inline_text)
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if ok:
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matches.append({
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"name": getattr(r, "name", "unknown_rule"),
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"description": getattr(r, "description", "") or (reason or ""),
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"severity": getattr(r, "severity", None),
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"tags": getattr(r, "tags", None),
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})
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if src:
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facts = {
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"src": src,
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"base_url": base_url,
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"base_hostname": base_hostname,
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"src_hostname": urlparse(src).hostname or "",
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"category": "script",
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}
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for r in engine.rules:
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if getattr(r, "category", None) == "script" and getattr(r, "rule_type", None) == "function":
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ok, reason = r.run(facts)
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if ok:
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matches.append({
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"name": getattr(r, "name", "unknown_rule"),
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"description": (reason or "") or getattr(r, "description", ""),
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"severity": getattr(r, "severity", None),
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"tags": getattr(r, "tags", None),
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})
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if matches:
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record["rules"] = matches
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results.append(record)
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except Exception as exc:
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results.append({
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"type": "unknown",
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"heuristics": [f"Script analysis error: {exc}"]
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})
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return results
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# -----------------------------------------------------------------------
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# Fetcher / Orchestrator
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# -----------------------------------------------------------------------
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async def fetch_page_artifacts(self, url: str) -> Dict[str, Any]:
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"""
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Fetch page artifacts and save them in a UUID-based directory for this Browser's storage_dir.
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Writes:
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- /data/<uuid>/screenshot.png
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- /data/<uuid>/source.html
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- /data/<uuid>/results.json (single source of truth for routes)
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Returns:
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result dict with keys used by templates (and future API).
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"""
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run_uuid = str(uuid.uuid4())
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run_dir = self.storage_dir / run_uuid
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run_dir.mkdir(parents=True, exist_ok=True)
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screenshot_path = run_dir / "screenshot.png"
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source_path = run_dir / "source.html"
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results_path = run_dir / "results.json"
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redirects: List[Dict[str, Any]] = []
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downloads: List[Dict[str, Any]] = []
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scripts_seen: List[str] = []
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async with async_playwright() as pw:
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browser = await pw.chromium.launch(
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headless=True,
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args=["--no-sandbox", "--disable-dev-shm-usage", "--disable-blink-features=AutomationControlled"]
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)
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context = await browser.new_context(
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viewport={"width": 1920, "height": 1080},
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user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36",
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java_script_enabled=True,
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locale="en-US"
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)
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page = await context.new_page()
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# Event handlers (plumbing)
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def _on_response(resp):
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try:
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if 300 <= resp.status <= 399:
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redirects.append({"status": resp.status, "url": resp.url})
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except Exception:
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pass
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def _on_download(d):
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try:
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downloads.append({"url": d.url, "suggested_filename": d.suggested_filename})
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except Exception:
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pass
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def _on_request(r):
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try:
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if r.url.endswith((".js", ".vbs", ".hta")):
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scripts_seen.append(r.url)
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except Exception:
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pass
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page.on("response", _on_response)
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page.on("download", _on_download)
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page.on("request", _on_request)
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try:
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await page.goto(url, wait_until="networkidle", timeout=60000)
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final_url = page.url
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await page.screenshot(path=str(screenshot_path), full_page=True)
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html = await page.content()
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safe_write(source_path, html)
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except PWTimeoutError:
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final_url = page.url
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safe_write(source_path, "Page did not fully load (timeout)")
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await page.screenshot(path=str(screenshot_path), full_page=True)
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await context.close()
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await browser.close()
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# Read back saved source
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html_content = source_path.read_text(encoding="utf-8")
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# Forms analysis (per-form rule checks)
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forms_info = self.analyze_forms(html_content, final_url)
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# Scripts artifacts (no detection here)
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suspicious_scripts = self.analyze_scripts(html_content, base_url=final_url)
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# Enrichment
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enrichment = enrich_url(url)
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# Global PASS/FAIL table per category (entire document)
|
||
rule_checks_overview = self.build_rule_checks_overview(html_content)
|
||
|
||
try:
|
||
for blk in rule_checks_overview:
|
||
current_app.logger.debug(f"[rules] {blk['category']}: {blk['summary']}")
|
||
except Exception:
|
||
pass
|
||
|
||
# Assemble single result dict
|
||
result: Dict[str, Any] = {
|
||
"uuid": run_uuid,
|
||
"submitted_url": url,
|
||
"final_url": final_url,
|
||
"redirects": redirects,
|
||
"downloads": downloads,
|
||
"scripts": scripts_seen,
|
||
"forms": forms_info,
|
||
"suspicious_scripts": suspicious_scripts,
|
||
"rule_checks": rule_checks_overview, # table-ready for UI
|
||
"enrichment": enrichment
|
||
}
|
||
|
||
# Persist as the single source of truth for routes
|
||
safe_write(results_path, json.dumps(result, indent=2, ensure_ascii=False))
|
||
|
||
try:
|
||
current_app.logger.info(f"[browser] Saved results.json for run {run_uuid}")
|
||
except Exception:
|
||
pass
|
||
|
||
return result
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Lazy-loaded singleton factory
|
||
# ---------------------------------------------------------------------------
|
||
|
||
# Prefer importing your project-wide singleton decorator.
|
||
try:
|
||
from app.utils.settings import singleton_loader # if we already export it
|
||
except Exception:
|
||
# Local fallback if import is not available.
|
||
from typing import Callable, TypeVar
|
||
import functools
|
||
T = TypeVar("T")
|
||
def singleton_loader(func: Callable[..., T]) -> Callable[..., T]:
|
||
"""Ensure the function only runs once, returning the cached value."""
|
||
cache: dict[str, T] = {}
|
||
@functools.wraps(func)
|
||
def wrapper(*args, **kwargs) -> T:
|
||
if func.__name__ not in cache:
|
||
cache[func.__name__] = func(*args, **kwargs)
|
||
return cache[func.__name__]
|
||
return wrapper
|
||
|
||
|
||
@singleton_loader
|
||
def get_browser(storage_dir: Optional[Path] = None) -> Browser:
|
||
"""
|
||
Lazily construct and cache a singleton Browser instance.
|
||
|
||
Args:
|
||
storage_dir: Optional override for artifact base directory.
|
||
|
||
Returns:
|
||
Browser: The singleton instance.
|
||
"""
|
||
return Browser(storage_dir=storage_dir)
|