feat: Phase 6 - Automated intel scanning (T-021, T-022)

- Add intel_service.py: RSS feed scanner for threat intelligence
  Searches CISA, NIST NVD, SANS ISC, BleepingComputer, The Hacker News,
  Krebs on Security for mentions of MITRE technique IDs and names
- New intel items stored in intel_items table with URL deduplication
- Techniques with new intel flagged with review_required=True
- Add POST /system/run-intel-scan endpoint (admin only)
- Register weekly intel scan job in APScheduler (every 7 days)
- Audit log records each scan execution with summary stats
- Update README with new endpoint and project structure
This commit is contained in:
2026-02-06 15:48:57 +01:00
parent abdb23be33
commit 52d230628d
4 changed files with 329 additions and 13 deletions

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@@ -1,9 +1,13 @@
"""Scheduled job for periodic MITRE ATT&CK synchronisation.
"""Scheduled background jobs.
Uses APScheduler's ``BackgroundScheduler`` to run :func:`sync_mitre` every
24 hours. The job manages its own database session (created on entry,
closed in ``finally``) so it is fully independent from FastAPI's
request-scoped sessions.
Registers periodic tasks on an APScheduler ``BackgroundScheduler``:
* **MITRE sync** — every 24 hours (see :func:`sync_mitre`)
* **Intel scan** — every 7 days (see :func:`scan_intel`)
Each job manages its own database session (created on entry, closed in
``finally``) so it is fully independent from FastAPI's request-scoped
sessions.
"""
import logging
@@ -12,6 +16,7 @@ from apscheduler.schedulers.background import BackgroundScheduler
from app.database import SessionLocal
from app.services.mitre_sync_service import sync_mitre
from app.services.intel_service import scan_intel
logger = logging.getLogger(__name__)
@@ -22,6 +27,11 @@ logger = logging.getLogger(__name__)
scheduler = BackgroundScheduler()
# ---------------------------------------------------------------------------
# Job functions
# ---------------------------------------------------------------------------
def _run_mitre_sync() -> None:
"""Execute a MITRE sync inside its own DB session."""
logger.info("Scheduled MITRE sync job starting...")
@@ -35,11 +45,33 @@ def _run_mitre_sync() -> None:
db.close()
def start_scheduler() -> None:
"""Register the MITRE sync job and start the background scheduler.
def _run_intel_scan() -> None:
"""Execute an intel scan inside its own DB session."""
logger.info("Scheduled intel scan job starting...")
db = SessionLocal()
try:
summary = scan_intel(db)
logger.info("Scheduled intel scan job finished — %s", summary)
except Exception:
logger.exception("Scheduled intel scan job failed")
finally:
db.close()
The job runs every **24 hours**. It does **not** fire immediately on
startup — the first execution happens 24 h after the application boots.
# ---------------------------------------------------------------------------
# Scheduler bootstrap
# ---------------------------------------------------------------------------
def start_scheduler() -> None:
"""Register all periodic jobs and start the background scheduler.
Jobs registered:
* ``mitre_sync`` — every **24 hours**
* ``intel_scan`` — every **7 days**
Neither job fires immediately on startup.
"""
scheduler.add_job(
_run_mitre_sync,
@@ -49,5 +81,13 @@ def start_scheduler() -> None:
name="MITRE ATT&CK sync (every 24h)",
replace_existing=True,
)
scheduler.add_job(
_run_intel_scan,
trigger="interval",
weeks=1,
id="intel_scan",
name="Intel scan (every 7d)",
replace_existing=True,
)
scheduler.start()
logger.info("MITRE sync scheduler started (interval=24h)")
logger.info("Background scheduler started — mitre_sync (24h), intel_scan (7d)")

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@@ -1,7 +1,7 @@
"""System-level endpoints (admin only).
Provides manual triggers for background operations such as the MITRE
ATT&CK synchronisation, and scheduler health introspection.
ATT&CK synchronisation, intel scanning, and scheduler health introspection.
"""
from fastapi import APIRouter, Depends
@@ -11,6 +11,7 @@ from app.database import get_db
from app.dependencies.auth import require_role
from app.models.user import User
from app.services.mitre_sync_service import sync_mitre
from app.services.intel_service import scan_intel
from app.jobs.mitre_sync_job import scheduler
router = APIRouter(prefix="/system", tags=["system"])
@@ -36,6 +37,25 @@ def trigger_mitre_sync(
}
@router.post("/run-intel-scan")
def trigger_intel_scan(
db: Session = Depends(get_db),
current_user: User = Depends(require_role("admin")),
):
"""Manually trigger a threat-intelligence scan.
**Requires** the ``admin`` role.
Returns a JSON object with the scan summary including the count of
new intel items found.
"""
summary = scan_intel(db)
return {
"message": "Intel scan completed",
"new_items": summary["new_items"],
}
@router.get("/scheduler-status")
def scheduler_status(
current_user: User = Depends(require_role("admin")),

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@@ -0,0 +1,254 @@
"""Automated threat-intelligence scan service.
Searches public security RSS feeds for mentions of MITRE ATT&CK technique
IDs and names. New findings are stored as :class:`IntelItem` records and
the related technique is flagged for review.
This is an **MVP** implementation — it queries a small set of well-known
RSS feeds and parses them with the standard-library :mod:`xml.etree`
parser. No LLMs or paid APIs are used.
"""
import logging
import re
import xml.etree.ElementTree as ET
from datetime import datetime
import requests as _requests
from sqlalchemy.orm import Session
from app.models.intel import IntelItem
from app.models.technique import Technique
from app.services.audit_service import log_action
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Public security RSS feeds
# ---------------------------------------------------------------------------
RSS_FEEDS: list[dict[str, str]] = [
{
"name": "CISA Alerts",
"url": "https://www.cisa.gov/cybersecurity-advisories/all.xml",
},
{
"name": "NIST NVD CVE",
"url": "https://nvd.nist.gov/feeds/xml/cve/misc/nvd-rss.xml",
},
{
"name": "SANS ISC",
"url": "https://isc.sans.edu/rssfeed.xml",
},
{
"name": "BleepingComputer",
"url": "https://www.bleepingcomputer.com/feed/",
},
{
"name": "The Hacker News",
"url": "https://feeds.feedburner.com/TheHackersNews",
},
{
"name": "Krebs on Security",
"url": "https://krebsonsecurity.com/feed/",
},
]
# Timeout for each feed request (seconds)
_FEED_TIMEOUT = 15
# Maximum number of techniques to scan (to keep MVP fast)
_MAX_TECHNIQUES = 50
# ---------------------------------------------------------------------------
# Internal helpers
# ---------------------------------------------------------------------------
def _fetch_feed(url: str) -> list[dict[str, str]]:
"""Download and parse an RSS/Atom feed, returning a list of entries.
Each entry is a dict with keys ``title``, ``link``, and ``description``.
Returns an empty list on any error so the scan can continue.
"""
try:
resp = _requests.get(url, timeout=_FEED_TIMEOUT, headers={
"User-Agent": "AegisPlatform/1.0 IntelScan",
})
resp.raise_for_status()
except Exception as exc:
logger.warning("Failed to fetch feed %s: %s", url, exc)
return []
try:
root = ET.fromstring(resp.content)
except ET.ParseError as exc:
logger.warning("Failed to parse feed %s: %s", url, exc)
return []
entries: list[dict[str, str]] = []
# RSS 2.0 format: <channel><item>...
for item in root.iter("item"):
title_el = item.find("title")
link_el = item.find("link")
desc_el = item.find("description")
entries.append({
"title": title_el.text.strip() if title_el is not None and title_el.text else "",
"link": link_el.text.strip() if link_el is not None and link_el.text else "",
"description": desc_el.text.strip() if desc_el is not None and desc_el.text else "",
})
# Atom format: <feed><entry>...
ns = {"atom": "http://www.w3.org/2005/Atom"}
for entry in root.iter("{http://www.w3.org/2005/Atom}entry"):
title_el = entry.find("atom:title", ns)
link_el = entry.find("atom:link", ns)
summary_el = entry.find("atom:summary", ns)
link_href = ""
if link_el is not None:
link_href = link_el.get("href", "")
entries.append({
"title": title_el.text.strip() if title_el is not None and title_el.text else "",
"link": link_href.strip(),
"description": summary_el.text.strip() if summary_el is not None and summary_el.text else "",
})
return entries
def _build_patterns(technique: Technique) -> list[re.Pattern]:
"""Build regex patterns to search feed content for a given technique."""
patterns: list[re.Pattern] = []
mitre_id = re.escape(technique.mitre_id)
patterns.append(re.compile(mitre_id, re.IGNORECASE))
# Technique name — match if the full name appears
if technique.name and len(technique.name) > 4:
name_escaped = re.escape(technique.name)
patterns.append(re.compile(name_escaped, re.IGNORECASE))
return patterns
def _entry_matches(entry: dict[str, str], patterns: list[re.Pattern]) -> bool:
"""Return True if any pattern matches the entry's title or description."""
text = f"{entry.get('title', '')} {entry.get('description', '')}"
return any(p.search(text) for p in patterns)
# ---------------------------------------------------------------------------
# Public API
# ---------------------------------------------------------------------------
def scan_intel(db: Session) -> dict:
"""Run the intel scan across RSS feeds for known techniques.
Parameters
----------
db : Session
Active SQLAlchemy database session.
Returns
-------
dict
Summary with keys ``new_items``, ``duplicates_skipped``,
``techniques_flagged``, ``feeds_checked``.
"""
logger.info("Intel scan starting...")
# 1. Load techniques (limit for MVP speed)
techniques = (
db.query(Technique)
.order_by(Technique.mitre_id)
.limit(_MAX_TECHNIQUES)
.all()
)
logger.info("Scanning %d techniques against %d feeds", len(techniques), len(RSS_FEEDS))
# 2. Pre-load all existing intel URLs for dedup
existing_urls: set[str] = {
row[0] for row in db.query(IntelItem.url).all()
}
# 3. Fetch all feeds once
all_entries: list[tuple[str, dict[str, str]]] = [] # (feed_name, entry)
feeds_ok = 0
for feed in RSS_FEEDS:
entries = _fetch_feed(feed["url"])
if entries:
feeds_ok += 1
for entry in entries:
all_entries.append((feed["name"], entry))
logger.info("Fetched %d entries from %d/%d feeds", len(all_entries), feeds_ok, len(RSS_FEEDS))
# 4. Match entries to techniques
new_items = 0
duplicates_skipped = 0
techniques_flagged: set[str] = set()
for technique in techniques:
patterns = _build_patterns(technique)
for feed_name, entry in all_entries:
if not _entry_matches(entry, patterns):
continue
url = entry.get("link", "").strip()
if not url:
continue
# Dedup
if url in existing_urls:
duplicates_skipped += 1
continue
# Create IntelItem
intel_item = IntelItem(
technique_id=technique.id,
url=url,
title=entry.get("title", "")[:500],
source=feed_name,
detected_at=datetime.utcnow(),
reviewed=False,
)
db.add(intel_item)
existing_urls.add(url)
new_items += 1
# Flag technique for review
if not technique.review_required:
technique.review_required = True
techniques_flagged.add(technique.mitre_id)
# 5. Single commit
db.commit()
summary = {
"new_items": new_items,
"duplicates_skipped": duplicates_skipped,
"techniques_flagged": len(techniques_flagged),
"feeds_checked": feeds_ok,
}
logger.info(
"Intel scan complete — new=%d, duplicates_skipped=%d, "
"techniques_flagged=%d, feeds_checked=%d",
new_items, duplicates_skipped, len(techniques_flagged), feeds_ok,
)
# 6. Audit log
log_action(
db,
user_id=None,
action="intel_scan",
entity_type="intel_item",
entity_id=None,
details=summary,
)
return summary