Files
DECNET/decnet/profiler/identity_rollup.py
anti f2b3393669 chore: relicense to AGPL-3.0-or-later and add SPDX headers
Replaces LICENSE (GPLv3 -> AGPLv3) and prepends
`SPDX-License-Identifier: AGPL-3.0-or-later` to every source file
across decnet/, decnet_web/, tests/, scripts/, and tools/.

Rationale: closes the GPLv3 ASP loophole so any party operating a
modified DECNET as a network service must offer their modified
source. Personal copyright (Samuel Paschuan) + inbound=outbound
contributions make a future unilateral relicense infeasible.

- LICENSE: full AGPL-3.0 text (gnu.org/licenses/agpl-3.0.txt)
- COPYRIGHT: project copyright notice
- tools/add_spdx_headers.py: idempotent header injector
  (shebang- and PEP 263-aware)

Touches 1565 source files (.py, .ts, .tsx, .js, .jsx, .css, .sh).
No behavior change; comments only.
2026-05-22 21:04:16 -04:00

115 lines
4.2 KiB
Python

# SPDX-License-Identifier: AGPL-3.0-or-later
"""Identity-level fingerprint rollup.
The clusterer mints :class:`AttackerIdentity` rows (and merges them) from
union-find over per-IP :class:`Attacker` observations. Each ``Attacker``
row already carries a ``fingerprints`` JSON list — the output of the
profiler's ``_build_record`` flatten of every ``bounty_type='fingerprint'``
bounty seen for that IP. This module distils that per-observation list
into the cross-observation summary columns on ``AttackerIdentity``:
* ``ja3_hashes`` — TLS ClientHello fingerprints
* ``hassh_hashes`` — SSH KEX fingerprints
* ``tls_cert_sha256`` — leaf cert SHA-256s presented by attacker-run
TLS servers (active-prober capture)
These are JSON-serialised ``list[str]`` columns shaped for federation
gossip — same wire format the campaign clusterer reads. The values are
deduplicated and sorted so two clusterer runs over the same input produce
byte-identical column writes.
"""
from __future__ import annotations
import json
from typing import Any, Iterable, Optional
# Bounty payload key per fingerprint family. Only fingerprints whose
# payload carries a stable scalar identifier roll up cleanly here —
# tcpfp / http_quirks / ja4l etc. don't fit the "list of hashes" shape
# and stay out of the rollup until they get their own columns.
_PAYLOAD_KEY_BY_FP_TYPE: dict[str, str] = {
"ja3": "ja3",
"hassh_server": "hash",
"tls_certificate": "cert_sha256",
"ja4h": "ja4h",
"ja4_quic": "ja4_quic",
}
_COLUMN_BY_FP_TYPE: dict[str, str] = {
"ja3": "ja3_hashes",
"hassh_server": "hassh_hashes",
"tls_certificate": "tls_cert_sha256",
"ja4h": "ja4h_hashes",
"ja4_quic": "ja4_quic_hashes",
}
def _payload_of(entry: Any) -> dict[str, Any]:
"""Return the payload dict from a fingerprint bounty entry."""
if not isinstance(entry, dict):
return {}
p = entry.get("payload")
if isinstance(p, dict):
return p
if isinstance(p, str):
try:
parsed = json.loads(p)
except (TypeError, ValueError):
return {}
return parsed if isinstance(parsed, dict) else {}
# Some legacy callers may have flattened the payload onto the entry.
return entry
def _parse_fingerprints(raw: Any) -> list[dict[str, Any]]:
"""Best-effort parse of an Attacker.fingerprints column value."""
if raw is None:
return []
if isinstance(raw, list):
return [e for e in raw if isinstance(e, dict)]
if isinstance(raw, str):
try:
decoded = json.loads(raw)
except (TypeError, ValueError):
return []
return [e for e in decoded if isinstance(e, dict)] if isinstance(decoded, list) else []
return []
def extract_fp_summaries(
member_rows: Iterable[dict[str, Any]],
) -> dict[str, Optional[str]]:
"""Aggregate fingerprint hashes across the given Attacker rows.
Returns a dict with keys ``ja3_hashes``, ``hassh_hashes``,
``tls_cert_sha256`` — each value is either a JSON-encoded
``list[str]`` (deduped, sorted) or ``None`` when no signal is
present. ``None`` is preferred over ``"[]"`` so the column stays
NULL and downstream readers can distinguish "no data yet" from
"actively known to be empty".
Pure: no DB, no clock, no I/O. The clusterer drives the call.
"""
buckets: dict[str, set[str]] = {col: set() for col in _COLUMN_BY_FP_TYPE.values()}
for row in member_rows:
for entry in _parse_fingerprints(row.get("fingerprints")):
payload = _payload_of(entry)
fp_type = payload.get("fingerprint_type")
if not isinstance(fp_type, str):
continue
payload_key = _PAYLOAD_KEY_BY_FP_TYPE.get(fp_type)
column = _COLUMN_BY_FP_TYPE.get(fp_type)
if payload_key is None or column is None:
continue
value = payload.get(payload_key)
if isinstance(value, str) and value:
buckets[column].add(value)
return {
column: (json.dumps(sorted(values)) if values else None)
for column, values in buckets.items()
}