anti
d4d8a2ad0d
Parser now tags ``mutator`` / ``decky_mutated`` lines with ``kind="mutation"`` so the engine can route them into a sibling ``_mutations`` index keyed by decky name instead of the per-IP attacker index. ``traversals()`` joins the two streams: every attacker gets a ``mutations_during`` list of markers from touched deckies bounded by their first/last-seen window. ``AttackerTraversal.to_dict()`` grows a ``mutations_during`` field and a ``timeline`` that chronologically interleaves hops and markers, so an ``SSH at T5 → mutation at T6 → HTTP at T7`` substrate transition is visible to UI consumers instead of reading as a silent discontinuity. The existing hops-only JSON shape is preserved; old clients that ignore unknown keys keep working.
274 lines
11 KiB
Python
274 lines
11 KiB
Python
"""
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Cross-decky correlation engine.
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Ingests RFC 5424 syslog lines from DECNET service containers and identifies
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attackers that have touched more than one decky — indicating lateral movement
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or an active sweep through the deception network.
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Core concept
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------------
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Every log event that carries a source IP is indexed by that IP. Once ingestion
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is complete, ``traversals()`` returns the subset of IPs that hit at least
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``min_deckies`` distinct deckies, along with the full chronological hop list
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for each one.
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Usage
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-----
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engine = CorrelationEngine()
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engine.ingest_file(Path("/var/log/decnet/decnet.log"))
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for t in engine.traversals():
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print(t.path, t.decky_count)
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"""
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from __future__ import annotations
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from collections import defaultdict
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from pathlib import Path
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from typing import Any, Callable
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from rich.table import Table
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from decnet.correlation.graph import AttackerTraversal, MutationMarker, TraversalHop
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from decnet.correlation.parser import LogEvent, parse_line
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from decnet.logging.syslog_formatter import (
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SEVERITY_WARNING,
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format_rfc5424,
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)
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from decnet.logging import get_logger
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from decnet.telemetry import traced as _traced, get_tracer as _get_tracer
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log = get_logger("correlation.engine")
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# ``publish_fn(event_type, payload_dict)``. Sync to avoid rippling
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# ``async`` through every call site of :meth:`CorrelationEngine.ingest`;
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# the caller wraps bus-publish via
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# :func:`decnet.bus.publish.make_thread_safe_publisher`, which is safe to
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# invoke from any thread including the event-loop thread.
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CorrelationPublishFn = Callable[[str, dict[str, Any]], None]
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class CorrelationEngine:
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def __init__(
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self,
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*,
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publish_fn: CorrelationPublishFn | None = None,
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) -> None:
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# attacker_ip → chronological list of events (only events with an IP)
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self._events: dict[str, list[LogEvent]] = defaultdict(list)
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# decky_name → chronological list of mutation events. Sibling
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# index to ``_events``; traversals() joins them by time window.
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self._mutations: dict[str, list[LogEvent]] = defaultdict(list)
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# Total lines parsed (including no-IP and non-DECNET lines)
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self.lines_parsed: int = 0
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# Total events indexed (had an attacker_ip)
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self.events_indexed: int = 0
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# Total mutation events indexed (kind="mutation")
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self.mutations_indexed: int = 0
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# Optional bus hook — invoked on first-sighting of an attacker IP.
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# Always fires exactly once per IP for the lifetime of the engine.
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self._publish_fn = publish_fn
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# ------------------------------------------------------------------ #
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# Ingestion #
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# ------------------------------------------------------------------ #
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def ingest(self, line: str) -> LogEvent | None:
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"""
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Parse and index one log line.
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Returns the parsed LogEvent (even if it has no attacker IP), or
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None if the line is blank / not RFC 5424.
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"""
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self.lines_parsed += 1
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event = parse_line(line)
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if event is None:
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return None
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if event.kind == "mutation":
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self._mutations[event.decky].append(event)
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self.mutations_indexed += 1
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return event
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if event.attacker_ip:
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first_sighting = event.attacker_ip not in self._events
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self._events[event.attacker_ip].append(event)
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self.events_indexed += 1
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if first_sighting and self._publish_fn is not None:
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try:
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self._publish_fn(
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"observed",
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{
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"attacker_ip": event.attacker_ip,
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"decky": event.decky,
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"service": event.service,
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"event_type": event.event_type,
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"first_seen": event.timestamp.isoformat(),
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},
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)
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except Exception as exc:
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log.warning("correlation publish hook failed: %s", exc)
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return event
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@_traced("correlation.ingest_file")
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def ingest_file(self, path: Path) -> int:
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"""
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Parse every line of *path* and index it.
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Returns the number of events that had an attacker IP.
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"""
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with open(path) as fh:
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for line in fh:
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self.ingest(line)
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_tracer = _get_tracer("correlation")
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with _tracer.start_as_current_span("correlation.ingest_file.summary") as _span:
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_span.set_attribute("lines_parsed", self.lines_parsed)
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_span.set_attribute("events_indexed", self.events_indexed)
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_span.set_attribute("unique_ips", len(self._events))
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return self.events_indexed
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# ------------------------------------------------------------------ #
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# Query #
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# ------------------------------------------------------------------ #
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@_traced("correlation.traversals")
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def traversals(self, min_deckies: int = 2) -> list[AttackerTraversal]:
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"""
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Return all attackers that touched at least *min_deckies* distinct
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deckies, sorted by first-seen time.
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"""
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result: list[AttackerTraversal] = []
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for ip, events in self._events.items():
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if len({e.decky for e in events}) < min_deckies:
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continue
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hops = sorted(
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(TraversalHop(e.timestamp, e.decky, e.service, e.event_type)
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for e in events),
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key=lambda h: h.timestamp,
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)
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# Per-attacker mutation markers: any mutation on a touched
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# decky between first_seen and last_seen. Window is
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# inclusive on both ends so a creation-at-T0 + first-contact-
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# at-T0 race still attaches the marker.
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first_ts = hops[0].timestamp
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last_ts = hops[-1].timestamp
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touched = {h.decky for h in hops}
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markers: list[MutationMarker] = []
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for decky in touched:
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for mev in self._mutations.get(decky, ()):
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if first_ts <= mev.timestamp <= last_ts:
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markers.append(_marker_from_event(mev))
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markers.sort(key=lambda m: m.timestamp)
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result.append(AttackerTraversal(
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attacker_ip=ip, hops=hops, mutations_during=markers,
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))
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return sorted(result, key=lambda t: t.first_seen)
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def all_attackers(self) -> dict[str, int]:
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"""Return {attacker_ip: event_count} for every IP seen, sorted by count desc."""
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return dict(
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sorted(
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{ip: len(evts) for ip, evts in self._events.items()}.items(),
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key=lambda kv: kv[1],
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reverse=True,
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)
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)
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# ------------------------------------------------------------------ #
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# Reporting #
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# ------------------------------------------------------------------ #
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def report_table(self, min_deckies: int = 2) -> Table:
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"""Rich table showing every cross-decky traversal."""
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table = Table(
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title="[bold red]Traversal Graph — Cross-Decky Attackers[/]",
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show_lines=True,
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)
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table.add_column("Attacker IP", style="bold red")
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table.add_column("Deckies", style="cyan", justify="right")
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table.add_column("Traversal Path", style="yellow")
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table.add_column("First Seen", style="dim")
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table.add_column("Duration", justify="right")
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table.add_column("Events", justify="right")
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for t in self.traversals(min_deckies):
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dur = _fmt_duration(t.duration_seconds)
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table.add_row(
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t.attacker_ip,
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str(t.decky_count),
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t.path,
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t.first_seen.strftime("%Y-%m-%d %H:%M:%S UTC"),
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dur,
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str(len(t.hops)),
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)
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return table
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@_traced("correlation.report_json")
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def report_json(self, min_deckies: int = 2) -> dict:
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"""Serialisable dict representation of all traversals."""
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return {
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"stats": {
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"lines_parsed": self.lines_parsed,
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"events_indexed": self.events_indexed,
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"unique_ips": len(self._events),
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"traversals": len(self.traversals(min_deckies)),
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},
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"traversals": [t.to_dict() for t in self.traversals(min_deckies)],
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}
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@_traced("correlation.traversal_syslog_lines")
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def traversal_syslog_lines(self, min_deckies: int = 2) -> list[str]:
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"""
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Emit one RFC 5424 syslog line per detected traversal.
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Useful for forwarding correlation findings back to the SIEM alongside
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the raw service events.
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"""
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lines: list[str] = []
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for t in self.traversals(min_deckies):
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line = format_rfc5424(
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service="correlator",
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hostname="decnet-correlator",
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event_type="traversal_detected",
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severity=SEVERITY_WARNING,
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attacker_ip=t.attacker_ip,
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decky_count=str(t.decky_count),
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deckies=",".join(t.deckies),
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first_seen=t.first_seen.isoformat(),
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last_seen=t.last_seen.isoformat(),
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hop_count=str(len(t.hops)),
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duration_s=str(int(t.duration_seconds)),
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)
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lines.append(line)
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return lines
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# ------------------------------------------------------------------ #
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# Helpers #
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# ------------------------------------------------------------------ #
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def _marker_from_event(event: LogEvent) -> MutationMarker:
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"""Build a :class:`MutationMarker` from a parsed ``decky_mutated`` log event.
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The mutator emits ``old_services``/``new_services`` as comma-joined
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strings in the SD params (the RFC 5424 grammar doesn't have native
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lists). We split them back on the way out — empty string ⇒ empty
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list, matching the creation/retirement emission sites.
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"""
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def _split(s: str) -> list[str]:
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return [p for p in s.split(",") if p]
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return MutationMarker(
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timestamp=event.timestamp,
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decky=event.decky,
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old_services=_split(event.fields.get("old_services", "")),
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new_services=_split(event.fields.get("new_services", "")),
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trigger=event.fields.get("trigger", ""),
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)
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def _fmt_duration(seconds: float) -> str:
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if seconds < 60:
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return f"{seconds:.0f}s"
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if seconds < 3600:
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return f"{seconds / 60:.1f}m"
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return f"{seconds / 3600:.1f}h"
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