补测:行为检测支持历史区间;特征扫描自动时间切片;历史画像保留
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#!/usr/bin/env python3
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"""Backfill behaviour detection for a historical range (service-off gap).
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Runs the independent behaviour analyzer against an absolute time range and
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stores flagged profiles with historical=1 so later live runs keep them.
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"""
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import argparse
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import datetime
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import json
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import os
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import sys
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ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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sys.path.insert(0, ROOT)
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from graylog_ops import behavior, watch # noqa: E402
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from graylog_ops.client import GraylogClient # noqa: E402
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from graylog_ops.http import HttpClient # noqa: E402
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from graylog_ops.judge import build_fields, load_profile # noqa: E402
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STREAM_ID = "6ac83059a6878e26256fcacc"
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def parse_local(value):
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text = value.strip()
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if text.endswith("Z"):
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stamp = datetime.datetime.fromisoformat(text.replace("Z", "+00:00"))
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elif "T" in text and ("+" in text[10:] or text.endswith("00")):
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stamp = datetime.datetime.fromisoformat(text)
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else:
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stamp = datetime.datetime.strptime(text, "%Y-%m-%d %H:%M").astimezone()
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if stamp.tzinfo is None:
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stamp = stamp.astimezone()
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return stamp.astimezone(datetime.timezone.utc)
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def utc_iso(stamp):
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return stamp.strftime("%Y-%m-%dT%H:%M:%S.000Z")
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("--from", dest="from_ts", required=True)
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parser.add_argument("--to", dest="to_ts", required=True)
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parser.add_argument("--db", default=os.path.join(ROOT, "data", "ips.db"))
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parser.add_argument("--profile", default=os.path.join(ROOT, "profiles", "f5.json"))
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parser.add_argument("--config", default=os.path.join(ROOT, "graylog-ops.json"))
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parser.add_argument("--stream", default=STREAM_ID)
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parser.add_argument("--dry-run", action="store_true")
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args = parser.parse_args()
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from_dt, to_dt = parse_local(args.from_ts), parse_local(args.to_ts)
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if to_dt <= from_dt:
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raise SystemExit("结束时间必须晚于开始时间")
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cfg = json.load(open(args.config, encoding="utf-8"))
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client = GraylogClient(HttpClient(cfg["url"], username=cfg["token"],
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password="token", timeout=120, retries=2))
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fields = build_fields(load_profile(args.profile))
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filter_str = "streams:" + args.stream
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behavior.RANGE_OVERRIDE = {"from": utc_iso(from_dt), "to": utc_iso(to_dt)}
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store = watch.Store(args.db)
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analyzer = behavior.BehaviorAnalyzer(client, store, fields, filter_str,
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root=ROOT, notifier=None)
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try:
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items = analyzer.analyze()
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finally:
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behavior.RANGE_OVERRIDE = None
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flagged = [item for item in items if item.get("verdict") == "建议封禁"]
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for item in items:
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try:
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last = client.search_absolute(
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query='%s:"%s"' % (fields["client_ip"], item["ip"]),
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from_ts=utc_iso(from_dt), to_ts=utc_iso(to_dt),
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limit=1, sort="timestamp:desc", fields=["timestamp"],
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filter_str=filter_str)
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stamp = (last or [{}])[0].get("timestamp")
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if stamp:
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item["last_ts"] = datetime.datetime.fromisoformat(
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str(stamp).replace("Z", "+00:00")).astimezone(
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datetime.timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
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except Exception as exc:
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print("时间查询 %s 失败: %s" % (item["ip"], exc), file=sys.stderr)
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print("行为违规 %d 个,建议封禁 %d 个" % (len(items), len(flagged)),
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file=sys.stderr)
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for item in sorted(flagged, key=lambda x: -x["score"])[:20]:
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print(" %-16s 评分 %-5s %-10s %s" % (
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item["ip"], item["score"], item.get("asn_brand") or "",
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item.get("reason_text") or ""), file=sys.stderr)
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if args.dry_run:
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print(json.dumps({"violations": len(items),
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"flagged": len(flagged),
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"ips": [i["ip"] for i in flagged]},
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ensure_ascii=False, indent=2))
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store.close()
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return 0
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store.upsert_historical_profiles(items)
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before = {row["ip"] for row in store.conn.execute(
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"SELECT ip FROM ip_fused")}
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store.sync_fused()
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added = [i["ip"] for i in flagged
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if i["ip"] not in before]
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stamp = watch.now_iso()
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if added:
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with store.lock, store.conn:
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store.conn.executemany(
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"UPDATE ip_fused SET last_pushed_at=? WHERE ip=?",
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[(stamp, ip) for ip in added])
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print(json.dumps({
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"range": [utc_iso(from_dt), utc_iso(to_dt)],
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"violations": len(items),
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"flagged": len(flagged),
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"newly_fused": len(added),
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"new_ips": sorted(added),
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}, ensure_ascii=False, indent=2))
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store.close()
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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