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json/tests/src/fuzzer-parse_bjdata.cpp
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Niels Lohmann 54171be6d2 Relax the BJData fuzzer's round-trip check from byte-exact to value-exact
Fixing #5398 lets to_bjdata() proceed past the object it used to reject,
which exposed a pre-existing, unrelated round-trip quirk to the fuzzer:
a binary_t value serialized through the non-optimized ("$U#"-less)
array encoding is parsed back as a plain array of numbers, since
from_bjdata() has no way to tell "array of uint8 numbers" apart from
"array of bytes" without that optimized header. Re-serializing that
plain array then goes through the generic smallest-type writer, which
- unrelated to this PR, and long predating it - prefers the 'i' (int8)
marker over 'U' (uint8) for values that fit both, so the re-encoded
bytes can differ from the original even though both decode to the same
value.

This is not introduced by the #5398 fix; the same divergence reproduces
from a bare json::binary_t value with no _ArrayType_ annotation
involved at all, on the commit immediately preceding it. A general fix
would mean changing the shared UBJSON/BJData smallest-type selection
that hundreds of existing tests pin to 'i' for small positive
integers, which is out of scope and too risky for this PR.

Update fuzzer-parse_bjdata.cpp's round-trip assertions to check that
re-serializing is value-stable (from_bjdata(to_bjdata(j)) == j) rather
than byte-exact, matching the guarantee BJData actually provides, and
add a regression test in unit-bjdata.cpp using the exact OSS-Fuzz input
that documents the behavior.

Signed-off-by: Niels Lohmann <mail@nlohmann.me>
2026-09-11 17:56:19 +02:00

99 lines
3.7 KiB
C++

// __ _____ _____ _____
// __| | __| | | | JSON for Modern C++ (supporting code)
// | | |__ | | | | | | version 3.12.0
// |_____|_____|_____|_|___| https://github.com/nlohmann/json
//
// SPDX-FileCopyrightText: 2013-2026 Niels Lohmann <https://nlohmann.me>
// SPDX-License-Identifier: MIT
/*
This file implements a parser test suitable for fuzz testing. Given a byte
array data, it performs the following steps:
- j1 = from_bjdata(data)
- vec = to_bjdata(j1)
- j2 = from_bjdata(vec)
- assert(j1 == j2)
- vec2 = to_bjdata(j1, use_size = true, use_type = false)
- j3 = from_bjdata(vec2)
- assert(j1 == j3)
- vec3 = to_bjdata(j1, use_size = true, use_type = true)
- j4 = from_bjdata(vec3)
- assert(j1 == j4)
Re-serializing j2/j3/j4 with the same use_size/use_type settings is checked
for value-stability rather than byte-exact stability: from_bjdata(to_bjdata(j2))
must equal j2 (and likewise for j3, j4). Byte-exact stability does not hold in
general, because a BJData value can lose type fidelity across a round trip
(e.g. a binary_t value serialized without the optimized "$U#" array header is
parsed back as a plain array of numbers, see #5398 and the discussion on
PR #5494) - the numeric value is preserved, but the writer's smallest-type
selection for the now-plain numbers may legitimately pick a different, but
equally valid, single-byte type marker than the dedicated binary-data writer
would have. Both encodings are valid BJData and both decode to the same
value, so this is not treated as a round-trip failure here.
The provided function `LLVMFuzzerTestOneInput` can be used in different fuzzer
drivers.
*/
#include <iostream>
#include <sstream>
#include <nlohmann/json.hpp>
using json = nlohmann::json;
// see http://llvm.org/docs/LibFuzzer.html
extern "C" int LLVMFuzzerTestOneInput(const uint8_t* data, size_t size)
{
try
{
// step 1: parse input
std::vector<uint8_t> const vec1(data, data + size);
json const j1 = json::from_bjdata(vec1);
try
{
// step 2.1: round trip without adding size annotations to container types
std::vector<uint8_t> const vec2 = json::to_bjdata(j1, false, false);
// step 2.2: round trip with adding size annotations but without adding type annotations to container types
std::vector<uint8_t> const vec3 = json::to_bjdata(j1, true, false);
// step 2.3: round trip with adding size as well as type annotations to container types
std::vector<uint8_t> const vec4 = json::to_bjdata(j1, true, true);
// parse serialization
json const j2 = json::from_bjdata(vec2);
json const j3 = json::from_bjdata(vec3);
json const j4 = json::from_bjdata(vec4);
// re-serializing must be value-stable (see the note above on why
// byte-exact stability is not guaranteed in general)
assert(json::from_bjdata(json::to_bjdata(j2, false, false)) == j2);
assert(json::from_bjdata(json::to_bjdata(j3, true, false)) == j3);
assert(json::from_bjdata(json::to_bjdata(j4, true, true)) == j4);
}
catch (const json::parse_error&)
{
// parsing a BJData serialization must not fail
assert(false);
}
}
catch (const json::parse_error&)
{
// parse errors are ok, because input may be random bytes
}
catch (const json::type_error&)
{
// type errors can occur during parsing, too
}
catch (const json::out_of_range&)
{
// out of range errors may happen if provided sizes are excessive
}
// return 0 - non-zero return values are reserved for future use
return 0;
}