Snapshot of every non-log artifact under audit-runs/ from audits 003 through 058: findings.md per audit, comparison CSVs, probe diffs, schema docs, register-dump txts, lr-trace JSONL streams, the saved canary patch diffs, etc. ~284 files / ~52 MB total. Excluded (per .gitignore): probe stdout/stderr/log streams (the raw firehose), guest-memory dumps under audit-026/027/029 (4.5 GB of .bin files; *.bin pattern added to .gitignore this commit). Also adds the orphan audit-058-sub825070F0-activation directory that a subagent accidentally created at project-root instead of under xenia-rs/audit-runs/; relocated to its proper home. Purpose: cross-machine continuity. With these summaries committed, a fresh clone gives the next session the full per-audit context (findings + tables + cascade predictions) without dependence on local-only working tree. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
53 lines
2.0 KiB
Python
53 lines
2.0 KiB
Python
#!/usr/bin/env python3
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"""Extract canary's v80000000 256MB span as a flat binary mirroring our format.
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Reads the canary Memory::Save dump at audit-runs/audit-024a-canary-diff/canary-memory.dump,
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walks heaps in order (v00 v40 v80 v90 physical), and for v80 writes each committed
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65536-byte page to its file offset (page_idx * 65536). Uncommitted pages stay zero.
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"""
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import struct
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import sys
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import os
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HEAPS = [
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("v00000000", 0x00000000, 0x40000000, 4096),
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("v40000000", 0x40000000, 0x3F000000, 65536),
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("v80000000", 0x80000000, 0x10000000, 65536),
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("v90000000", 0x90000000, 0x10000000, 4096),
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("physical", 0x00000000, 0x20000000, 4096),
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]
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K_COMMIT = 0x2
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def main():
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src = sys.argv[1] if len(sys.argv) > 1 else \
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"/home/fabi/RE Project Sylpheed/xenia-rs/audit-runs/audit-024a-canary-diff/canary-memory.dump"
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out = sys.argv[2] if len(sys.argv) > 2 else \
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os.path.join(os.path.dirname(__file__), "canary-v80.bin")
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with open(src, "rb") as f:
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data = f.read()
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print(f"[i] dump size: {len(data)} bytes ({len(data)/1024/1024:.1f} MiB)")
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cursor = 0
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out_buf = None
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for name, base, size, page_size in HEAPS:
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page_count = size // page_size
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committed = 0
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if name == "v80000000":
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out_buf = bytearray(size)
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for i in range(page_count):
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qword = struct.unpack_from("<Q", data, cursor)[0]
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cursor += 8
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state = (qword >> 60) & 0x3
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if state != 0 and (state & K_COMMIT):
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if name == "v80000000":
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out_buf[i*page_size:(i+1)*page_size] = data[cursor:cursor+page_size]
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cursor += page_size
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committed += 1
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print(f"[i] {name}: pages={page_count} committed={committed}")
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print(f"[i] total parsed: {cursor:#x} (file size: {len(data):#x})")
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with open(out, "wb") as f:
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f.write(out_buf)
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print(f"[i] wrote {len(out_buf)} bytes to {out}")
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if __name__ == "__main__":
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main()
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