anti
3d00de8fd3
Splits the 494-line attackers.py into five submixin files plus a
composing AttackersMixin in attackers/__init__.py:
_core.py (~95) Attacker CRUD + _deserialize_attacker
behavior.py (~110) AttackerBehavior + _deserialize_behavior
sessions.py (~50) SessionProfile read/write
smtp.py (~70) SmtpTarget per-attacker + cross-attacker views
activity.py (~190) log-derived activity (commands, leaks,
artifacts, stored mail, session log, transcripts)
IdentitiesMixin.list_observations_for_identity calls
self._deserialize_attacker; MRO resolves it onto AttackersCoreMixin
through the composed SQLModelRepository class.
70 lines
2.7 KiB
Python
70 lines
2.7 KiB
Python
"""SMTP victim-domain tracking (per-attacker counters and
|
|
cross-attacker aggregate)."""
|
|
from __future__ import annotations
|
|
|
|
from datetime import datetime, timezone
|
|
from typing import Any
|
|
|
|
from sqlalchemy import desc, func, select
|
|
|
|
from decnet.web.db.models import SmtpTarget
|
|
|
|
|
|
class SmtpTargetsMixin:
|
|
async def increment_smtp_target(self, attacker_uuid: str, domain: str) -> None:
|
|
"""Upsert an (attacker_uuid, domain) pair and bump count + last_seen.
|
|
|
|
Read-then-write under a single session — the UNIQUE constraint on
|
|
(attacker_uuid, domain) guards against duplicate rows if the race
|
|
ever materialises; we accept the ~1ms extra round-trip in exchange
|
|
for a single dialect-portable implementation.
|
|
"""
|
|
async with self._session() as session:
|
|
result = await session.execute(
|
|
select(SmtpTarget)
|
|
.where(SmtpTarget.attacker_uuid == attacker_uuid)
|
|
.where(SmtpTarget.domain == domain)
|
|
)
|
|
existing = result.scalar_one_or_none()
|
|
now = datetime.now(timezone.utc)
|
|
if existing:
|
|
existing.count += 1
|
|
existing.last_seen = now
|
|
session.add(existing)
|
|
else:
|
|
session.add(SmtpTarget(
|
|
attacker_uuid=attacker_uuid,
|
|
domain=domain,
|
|
first_seen=now,
|
|
last_seen=now,
|
|
count=1,
|
|
))
|
|
await session.commit()
|
|
|
|
async def list_smtp_targets(self, attacker_uuid: str) -> list[dict[str, Any]]:
|
|
async with self._session() as session:
|
|
result = await session.execute(
|
|
select(SmtpTarget)
|
|
.where(SmtpTarget.attacker_uuid == attacker_uuid)
|
|
.order_by(desc(SmtpTarget.last_seen))
|
|
)
|
|
return [r.model_dump(mode="json") for r in result.scalars().all()]
|
|
|
|
async def smtp_target_seen(self, domain: str) -> dict[str, Any]:
|
|
"""Aggregate rows for this domain across every attacker in the DB."""
|
|
async with self._session() as session:
|
|
result = await session.execute(
|
|
select(
|
|
func.coalesce(func.sum(SmtpTarget.count), 0),
|
|
func.min(SmtpTarget.first_seen),
|
|
func.max(SmtpTarget.last_seen),
|
|
).where(SmtpTarget.domain == domain)
|
|
)
|
|
total, first_seen, last_seen = result.one()
|
|
return {
|
|
"seen": int(total) > 0,
|
|
"count": int(total),
|
|
"first_seen": first_seen,
|
|
"last_seen": last_seen,
|
|
}
|