#!/usr/bin/env python3 """Differential fuzz for cjson attempts: pristine vs candidate harness must produce byte-identical stdout (serialization + checksum) AND identical exit code on mutated JSON. cJSON is a deterministic single-threaded parser, so raw byte comparison needs no canonicalization. python3 scripts/diff-fuzz-cjson.py Seeds: slices of the pinned corpus plus hand JSON fragments. Mutations target parser edges: structural tokens, string escapes, number forms (leading zeros, +/- exponents, huge/deep values), and raw byte noise. """ import random import subprocess import sys from pathlib import Path ROOT = Path("/home/user/peltier.io") BASE = ROOT / "targets/cjson/baseline/cjson-bench" CAND = ROOT / sys.argv[3] if len(sys.argv) > 3 else ROOT / "targets/cjson/baseline/cjson-bench" CORPUS = ROOT / "corpora/cjson/input/big.json" WORK = Path(sys.argv[1]) if len(sys.argv) > 1 else Path("/tmp/difffuzz-cjson") ITERS = int(sys.argv[2]) if len(sys.argv) > 2 else 10000 TOKENS = [ b"{", b"}", b"[", b"]", b'"', b":", b",", b"\\", b"\\n", b"\\u00e9", b"\\uD83D", b"true", b"false", b"null", b"0", b"-0", b"1e999", b"-1.5E-3", b"00", b"1.", b".5", b"1e", b"NaN", b"Infinity", b'\\"', b'"key"', b"[]", b"{}", b'""', b"1234567890123456789012345", b"\x00", b"\xff", b"\t", b"\n", ] SEEDS_STATIC = [ b'{}', b'[]', b'{"a":1}', b'[1,2,3]', b'"hello"', b'true', b'null', b'{"n":-1.5e10,"s":"a\\tb","u":"\\u00e9","arr":[null,false,{}]}', b'[[[[[[1]]]]]]', b'{"a":{"b":{"c":{"d":1}}}}', b'123.456e-78', b'{"esc":"\\"\\\\\\/\\b\\f\\n\\r\\t"}', b' { "x" : [ 1 , 2 ] } ', ] def mutate(data: bytes, rng: random.Random) -> bytes: b = bytearray(data) for _ in range(rng.randrange(1, 8)): if not b: b = bytearray(rng.choice(TOKENS)) continue op = rng.randrange(5) pos = rng.randrange(len(b) + 1) if op == 0: b[pos:pos] = rng.choice(TOKENS) elif op == 1 and len(b) > 2: del b[pos:min(len(b), pos + rng.randrange(1, 12))] elif op == 2 and pos < len(b): b[pos] = rng.randrange(256) elif op == 3: end = min(len(b), pos + rng.randrange(1, 48)) b[end:end] = b[pos:end] else: b[pos:pos] = rng.choice(TOKENS) return bytes(b) def run(binary: Path, path: Path) -> tuple[bytes, int]: r = subprocess.run([str(binary), str(path), "1"], capture_output=True, timeout=30) return r.stdout, r.returncode def main() -> int: rng = random.Random(0x1CE_B00C) corpus = CORPUS.read_bytes() seeds = list(SEEDS_STATIC) # windows of the real corpus (often invalid mid-slice — exercises the # error path, which must diverge identically or not at all) for o in range(0, len(corpus) - 4096, len(corpus) // 200): for n in (64, 512, 4096): seeds.append(corpus[o : o + n]) WORK.mkdir(parents=True, exist_ok=True) case = WORK / "case.json" divergences = 0 for i in range(ITERS): payload = mutate(rng.choice(seeds), rng) case.write_bytes(payload) a_out, a_rc = run(BASE, case) b_out, b_rc = run(CAND, case) if a_out != b_out or a_rc != b_rc: divergences += 1 keep = WORK / f"divergence-{i}" keep.mkdir(exist_ok=True) (keep / "input.json").write_bytes(payload) (keep / "baseline.out").write_bytes(a_out + f"\nrc={a_rc}".encode()) (keep / "candidate.out").write_bytes(b_out + f"\nrc={b_rc}".encode()) print(f"DIVERGENCE at iter {i} (rc {a_rc} vs {b_rc}); kept in {keep}") if (i + 1) % 1000 == 0: print(f"{i + 1}/{ITERS}, {divergences} divergences", flush=True) print(f"done: {ITERS} inputs, {divergences} divergences") return 1 if divergences else 0 if __name__ == "__main__": sys.exit(main())