feat(sniffer): ISN sequence classifier (reuses seq_class helper)
Mirrors the IP-ID classifier for TCP ISN values: per-source-IP rolling deque (maxlen=8) populated from each inbound SYN's tcp.seq, classified on every emission. A 'random' verdict is the modern norm; 'incremental', 'zero', or 'constant' indicates legacy stacks or hand-rolled raw-socket tooling — a strong fingerprint signal. Active prober now also captures server_isn (single sample, not classified in-flight; downstream consumers correlating multi-probe results can apply seq_class.classify_sequence themselves). Profiler rollup carries the latest non-'unknown' label into attacker.tcp_fingerprint. Dedup key already covers isn_class from the previous commit, so transitions emit cleanly. UI surfaces ISN class as a colour-coded tag with a ⚠ glyph for non-random verdicts, since they're the genuinely interesting case.
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@@ -752,6 +752,7 @@ class SnifferEngine:
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# we can label them random/incremental/zero/constant.
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self._SEQ_SAMPLE_SIZE = 8
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self._ipid_samples: dict[str, deque[int]] = {}
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self._isn_samples: dict[str, deque[int]] = {}
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# Per-flow timing aggregator. Key: (src_ip, src_port, dst_ip, dst_port).
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# Flow direction is client→decky; reverse packets are associated back
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@@ -1052,6 +1053,12 @@ class SnifferEngine:
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)
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ipid_buf.append(int(ip.id))
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ipid_class = classify_sequence(list(ipid_buf))
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isn_buf = self._isn_samples.setdefault(
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src_ip, deque(maxlen=self._SEQ_SAMPLE_SIZE)
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)
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isn_buf.append(int(tcp.seq))
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isn_class = classify_sequence(list(isn_buf))
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os_label = guess_os(
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ttl=ip.ttl,
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window=int(tcp.window),
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@@ -1082,6 +1089,8 @@ class SnifferEngine:
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ecn=str(int(getattr(ip, "tos", 0)) & 0x3),
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ipid_class=ipid_class,
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ipid_samples=str(len(ipid_buf)),
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isn_class=isn_class,
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isn_samples=str(len(isn_buf)),
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os_guess=os_label,
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)
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