High level conclusions

Fuzzer fuzz_inference is blocked:

The runtime code coverage of fuzz_inference covers 26.76% of its statically reachable code. This means there is some place that blocks the fuzzer to continue exploring more code at run time.

Fuzzer fuzz_structured is blocked:

The runtime code coverage of fuzz_structured covers 6.315% of its statically reachable code. This means there is some place that blocks the fuzzer to continue exploring more code at run time.

Fuzzer fuzz_load_model is blocked:

The runtime code coverage of fuzz_load_model covers 6.322% of its statically reachable code. This means there is some place that blocks the fuzzer to continue exploring more code at run time.

Fuzzers reach 35.48% of cyclomatic complexity.

Fuzzers reach 25.32% of all functions.

Reachability and coverage overview

Functions statically reachable by fuzzers

1136 / 4486

Cyclomatic complexity statically reachable by fuzzers

15654 / 44112

Runtime code coverage of functions

904 / 4486

The following table shows data about each function in the project. The functions included in this table correspond to all functions that exist in the executables of the fuzzers. As such, there may be functions that are from third-party libraries.

For further technical details on the meaning of columns in the below table, please see the Glossary .

Func name	Functions filename	Args	Function call depth	Reached by Fuzzers	Runtime reached by Fuzzers	Combined reached by Fuzzers	Fuzzers runtime hit	Func lines hit %	I Count	BB Count	Cyclomatic complexity	Functions reached	Reached by functions	Accumulated cyclomatic complexity	Undiscovered complexity

Fuzzer: fuzz_apply_template

Call tree

The calltree shows the control flow of the fuzzer. This is overlaid with coverage information to display how much of the potential code a fuzzer can reach is in fact covered at runtime. In the following there is a link to a detailed calltree visualisation as well as a bitmap showing a high-level view of the calltree. For further information about these topics please see the glossary for full calltree and calltree overview

Call tree overview bitmap:

The distribution of callsites in terms of coloring is

Color	Runtime hitcount	Callsite count	Percentage
red	0	1	1.14%
gold	[1:9]	8	9.19%
yellow	[10:29]	9	10.3%
greenyellow	[30:49]	8	9.19%
lawngreen	50+	61	70.1%
All colors	87	100

Fuzz blockers

The following nodes represent call sites where fuzz blockers occur.

Amount of callsites blocked	Calltree index	Parent function	Callsite	Largest blocked function
1	75	llm_chat_apply_template(llm_chat_template, std::__1::vector > const&, std::__1::basic_string , std::__1::allocator >&, bool)	call site: 00075

Runtime coverage analysis

Covered functions

7

Functions that are reachable but not covered

5

Reachable functions

17

Percentage of reachable functions covered

70.59%

NB: The sum of covered functions and functions that are reachable but not covered need not be equal to Reachable functions . This is because the reachability analysis is an approximation and thus at runtime some functions may be covered that are not included in the reachability analysis. This is a limitation of our static analysis capabilities.

Function name	source code lines	source lines hit	percentage hit

Files reached

filename	functions hit
/src/llama.cpp/fuzzers/fuzz_apply_template.cpp	1
/src/llama.cpp/src/llama.cpp	1
/src/llama.cpp/src/llama-chat.cpp	5

Fuzzer: fuzz_grammar

Call tree

The calltree shows the control flow of the fuzzer. This is overlaid with coverage information to display how much of the potential code a fuzzer can reach is in fact covered at runtime. In the following there is a link to a detailed calltree visualisation as well as a bitmap showing a high-level view of the calltree. For further information about these topics please see the glossary for full calltree and calltree overview

Call tree overview bitmap:

The distribution of callsites in terms of coloring is

Color	Runtime hitcount	Callsite count	Percentage
red	0	26	19.4%
gold	[1:9]	34	25.3%
yellow	[10:29]	19	14.1%
greenyellow	[30:49]	4	2.98%
lawngreen	50+	51	38.0%
All colors	134	100

Fuzz blockers

The following nodes represent call sites where fuzz blockers occur.

Amount of callsites blocked	Calltree index	Parent function	Callsite	Largest blocked function
11	26	llama_grammar_parser::parse_sequence(char const*, std::__1::basic_string , std::__1::allocator > const&, std::__1::vector >&, bool)	call site: 00026	__cxa_allocate_exception
5	38	parse_char(char const*)	call site: 00038	__cxa_allocate_exception
5	50	llama_grammar_parser::parse_sequence(char const*, std::__1::basic_string , std::__1::allocator > const&, std::__1::vector >&, bool)	call site: 00050	__cxa_allocate_exception
4	92	parse_int(char const*)	call site: 00092	__cxa_allocate_exception
1	109	llama_grammar_parser::parse_sequence(char const*, std::__1::basic_string , std::__1::allocator > const&, std::__1::vector >&, bool)	call site: 00109

Runtime coverage analysis

Covered functions

16

Functions that are reachable but not covered

17

Reachable functions

49

Percentage of reachable functions covered

65.31%

NB: The sum of covered functions and functions that are reachable but not covered need not be equal to Reachable functions . This is because the reachability analysis is an approximation and thus at runtime some functions may be covered that are not included in the reachability analysis. This is a limitation of our static analysis capabilities.

Function name	source code lines	source lines hit	percentage hit

Files reached

filename	functions hit
/src/llama.cpp/fuzzers/fuzz_grammar.cpp	1
/src/llama.cpp/src/llama-grammar.h	2
/src/llama.cpp/src/llama-grammar.cpp	16

Fuzzer: fuzz_load_model

Call tree

The calltree shows the control flow of the fuzzer. This is overlaid with coverage information to display how much of the potential code a fuzzer can reach is in fact covered at runtime. In the following there is a link to a detailed calltree visualisation as well as a bitmap showing a high-level view of the calltree. For further information about these topics please see the glossary for full calltree and calltree overview

Call tree overview bitmap:

The distribution of callsites in terms of coloring is

Color	Runtime hitcount	Callsite count	Percentage
red	0	5988	98.4%
gold	[1:9]	68	1.11%
yellow	[10:29]	5	0.08%
greenyellow	[30:49]	6	0.09%
lawngreen	50+	15	0.24%
All colors	6082	100

Fuzz blockers

The following nodes represent call sites where fuzz blockers occur.

Amount of callsites blocked	Calltree index	Parent function	Callsite	Largest blocked function
5959	104	llama_model_load_from_file_impl(std::__1::basic_string , std::__1::allocator > const&, std::__1::vector , std::__1::allocator >, std::__1::allocator , std::__1::allocator > > >&, llama_model_params)	call site: 00104	gguf_init_from_file
12	6	ggml_init	call site: 00006	ggml_abort
10	93	ggml_backend_dev_type	call site: 00093	ggml_backend_dev_backend_reg
2	6064	llama_model::~llama_model()	call site: 06064	llama_free_model
1	19	ggml_init	call site: 00019	ggml_log_internal
1	21	ggml_aligned_malloc	call site: 00021	ggml_log_internal
1	49	ggml_cpu_init	call site: 00049	clock_gettime
1	77	get_reg()	call site: 00077
1	80	llama_log_internal_v(ggml_log_level, char const*, __va_list_tag*)	call site: 00080	vsnprintf

Runtime coverage analysis

Covered functions

55

Functions that are reachable but not covered

889

Reachable functions

949

Percentage of reachable functions covered

6.32%

NB: The sum of covered functions and functions that are reachable but not covered need not be equal to Reachable functions . This is because the reachability analysis is an approximation and thus at runtime some functions may be covered that are not included in the reachability analysis. This is a limitation of our static analysis capabilities.

Function name	source code lines	source lines hit	percentage hit

Files reached

filename	functions hit
/src/llama.cpp/fuzzers/fuzz_load_model.cpp	2
/src/llama.cpp/src/llama.cpp	10
/src/llama.cpp/ggml/src/ggml.c	69
/src/llama.cpp/ggml/src/ggml-threading.cpp	2
/src/llama.cpp/ggml/src/ggml-backend-reg.cpp	13
/src/llama.cpp/ggml/src/ggml-cpu/ggml-cpu.cpp	1
/src/llama.cpp/ggml/src/ggml-cpu/ggml-cpu.c	1
/src/llama.cpp/ggml/src/./ggml-impl.h	4
/src/llama.cpp/ggml/src/ggml-cpu/vec.h	2
/src/llama.cpp/ggml/src/ggml-backend.cpp	48
/src/llama.cpp/src/llama-impl.cpp	10
/src/llama.cpp/src/llama-model.cpp	27
/src/llama.cpp/src/llama-vocab.cpp	87
/src/llama.cpp/src/llama-model-loader.cpp	91
/src/llama.cpp/src/llama-arch.cpp	7
/src/llama.cpp/ggml/src/gguf.cpp	79
/src/llama.cpp/src/llama-mmap.cpp	19
/src/llama.cpp/src/llama-model-loader.h	2
/src/llama.cpp/src/llama-hparams.cpp	10
/src/llama.cpp/src/unicode.cpp	34
/usr/local/bin/../include/c++/v1/stdexcept	1
/src/llama.cpp/src/unicode.h	3
/src/llama.cpp/src/llama-arch.h	4
/src/llama.cpp/ggml/src/ggml-impl.h	1
/src/llama.cpp/ggml/src/ggml-alloc.c	6
/src/llama.cpp/ggml/src/ggml-quants.c	10

Fuzzer: fuzz_structured

Call tree

The calltree shows the control flow of the fuzzer. This is overlaid with coverage information to display how much of the potential code a fuzzer can reach is in fact covered at runtime. In the following there is a link to a detailed calltree visualisation as well as a bitmap showing a high-level view of the calltree. For further information about these topics please see the glossary for full calltree and calltree overview

Call tree overview bitmap:

The distribution of callsites in terms of coloring is

Color	Runtime hitcount	Callsite count	Percentage
red	0	5988	98.3%
gold	[1:9]	58	0.95%
yellow	[10:29]	6	0.09%
greenyellow	[30:49]	2	0.03%
lawngreen	50+	33	0.54%
All colors	6087	100

Fuzz blockers

The following nodes represent call sites where fuzz blockers occur.

Amount of callsites blocked	Calltree index	Parent function	Callsite	Largest blocked function
5959	108	llama_model_load_from_file_impl(std::__1::basic_string , std::__1::allocator > const&, std::__1::vector , std::__1::allocator >, std::__1::allocator , std::__1::allocator > > >&, llama_model_params)	call site: 00108	gguf_init_from_file
12	6	ggml_init	call site: 00006	ggml_abort
10	97	ggml_backend_dev_type	call site: 00097	ggml_backend_dev_backend_reg
2	6068	llama_model::~llama_model()	call site: 06068	llama_free_model
1	19	ggml_init	call site: 00019	ggml_log_internal
1	21	ggml_aligned_malloc	call site: 00021	ggml_log_internal
1	53	ggml_cpu_init	call site: 00053	clock_gettime
1	81	get_reg()	call site: 00081
1	84	llama_log_internal_v(ggml_log_level, char const*, __va_list_tag*)	call site: 00084	vsnprintf

Runtime coverage analysis

Covered functions

55

Functions that are reachable but not covered

890

Reachable functions

950

Percentage of reachable functions covered

6.32%

NB: The sum of covered functions and functions that are reachable but not covered need not be equal to Reachable functions . This is because the reachability analysis is an approximation and thus at runtime some functions may be covered that are not included in the reachability analysis. This is a limitation of our static analysis capabilities.

Function name	source code lines	source lines hit	percentage hit

Files reached

filename	functions hit
/src/llama.cpp/fuzzers/fuzz_structured.cpp	2
/src/llama.cpp/src/llama.cpp	10
/src/llama.cpp/ggml/src/ggml.c	69
/src/llama.cpp/ggml/src/ggml-threading.cpp	2
/src/llama.cpp/ggml/src/ggml-backend-reg.cpp	13
/src/llama.cpp/ggml/src/ggml-cpu/ggml-cpu.cpp	1
/src/llama.cpp/ggml/src/ggml-cpu/ggml-cpu.c	1
/src/llama.cpp/ggml/src/./ggml-impl.h	4
/src/llama.cpp/ggml/src/ggml-cpu/vec.h	2
/src/llama.cpp/ggml/src/ggml-backend.cpp	48
/src/llama.cpp/src/llama-impl.cpp	10
/src/llama.cpp/src/llama-model.cpp	27
/src/llama.cpp/src/llama-vocab.cpp	87
/src/llama.cpp/src/llama-model-loader.cpp	91
/src/llama.cpp/src/llama-arch.cpp	7
/src/llama.cpp/ggml/src/gguf.cpp	79
/src/llama.cpp/src/llama-mmap.cpp	19
/src/llama.cpp/src/llama-model-loader.h	2
/src/llama.cpp/src/llama-hparams.cpp	10
/src/llama.cpp/src/unicode.cpp	34
/usr/local/bin/../include/c++/v1/stdexcept	1
/src/llama.cpp/src/unicode.h	3
/src/llama.cpp/src/llama-arch.h	4
/src/llama.cpp/ggml/src/ggml-impl.h	1
/src/llama.cpp/ggml/src/ggml-alloc.c	6
/src/llama.cpp/ggml/src/ggml-quants.c	10

Fuzzer: fuzz_inference

Call tree

The calltree shows the control flow of the fuzzer. This is overlaid with coverage information to display how much of the potential code a fuzzer can reach is in fact covered at runtime. In the following there is a link to a detailed calltree visualisation as well as a bitmap showing a high-level view of the calltree. For further information about these topics please see the glossary for full calltree and calltree overview

Call tree overview bitmap:

The distribution of callsites in terms of coloring is

Color	Runtime hitcount	Callsite count	Percentage
red	0	6334	92.9%
gold	[1:9]	98	1.43%
yellow	[10:29]	15	0.22%
greenyellow	[30:49]	5	0.07%
lawngreen	50+	361	5.29%
All colors	6813	100

Fuzz blockers

The following nodes represent call sites where fuzz blockers occur.

Amount of callsites blocked	Calltree index	Parent function	Callsite	Largest blocked function
4786	1167	llama_model_load(std::__1::basic_string , std::__1::allocator > const&, std::__1::vector , std::__1::allocator >, std::__1::allocator , std::__1::allocator > > >&, llama_model&, llama_model_params&)	call site: 01167	llama_supports_gpu_offload
714	6083	llama_model::~llama_model()	call site: 06083	llama_new_context_with_model
390	771	llama_model::load_hparams(llama_model_loader&)	call site: 00771	llama_model_rope_type
112	5954	llama_file::impl::seek(unsigned long, int) const	call site: 05954	ggml_validate_row_data
79	439	GGUFMeta::GKV ::set(gguf_context const*, int, unsigned short&, llama_model_kv_override const*)	call site: 00439	gguf_init_from_file
28	674	GGUFMeta::GKV ::get_kv(gguf_context const*, int)	call site: 00674	gguf_find_key
16	27	LLVMFuzzerTestOneInput	call site: 00027
15	658	llama_model::load_hparams(llama_model_loader&)	call site: 00658	gguf_find_key
14	350	_ZN8GGUFMeta3GKVINSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEE12try_overrideIS7_EENS1_9enable_ifIXsr3std7is_sameIT_S7_EE5valueEbE4typeERS7_PK23llama_model_kv_override	call site: 00350	__cxa_allocate_exception
12	519	GGUFMeta::GKV ::get_kv(gguf_context const*, int)	call site: 00519	gguf_get_val_i32
11	112	ggml_backend_dev_type	call site: 00112	ggml_backend_dev_backend_reg
11	748	llama_model::load_hparams(llama_model_loader&)	call site: 00748	ggml_abort

Runtime coverage analysis

Covered functions

222

Functions that are reachable but not covered

903

Reachable functions

1233

Percentage of reachable functions covered

26.76%

NB: The sum of covered functions and functions that are reachable but not covered need not be equal to Reachable functions . This is because the reachability analysis is an approximation and thus at runtime some functions may be covered that are not included in the reachability analysis. This is a limitation of our static analysis capabilities.

Function name	source code lines	source lines hit	percentage hit

Files reached

filename	functions hit
/src/llama.cpp/fuzzers/fuzz_inference.cpp	1
/src/llama.cpp/src/llama.cpp	11
/src/llama.cpp/ggml/src/ggml.c	98
/src/llama.cpp/ggml/src/ggml-threading.cpp	2
/src/llama.cpp/common/common.h	13
/src/llama.cpp/common/common.cpp	2
/src/llama.cpp/src/llama-model.cpp	34
/src/llama.cpp/ggml/src/ggml-backend-reg.cpp	14
/src/llama.cpp/ggml/src/ggml-cpu/ggml-cpu.cpp	1
/src/llama.cpp/ggml/src/ggml-cpu/ggml-cpu.c	1
/src/llama.cpp/ggml/src/./ggml-impl.h	4
/src/llama.cpp/ggml/src/ggml-cpu/vec.h	2
/src/llama.cpp/ggml/src/ggml-backend.cpp	75
/src/llama.cpp/src/llama-impl.cpp	10
/src/llama.cpp/src/llama-vocab.cpp	87
/src/llama.cpp/src/llama-model-loader.cpp	91
/src/llama.cpp/src/llama-arch.cpp	8
/src/llama.cpp/ggml/src/gguf.cpp	79
/src/llama.cpp/src/llama-mmap.cpp	19
/src/llama.cpp/src/llama-model-loader.h	2
/src/llama.cpp/src/llama-hparams.cpp	17
/src/llama.cpp/src/unicode.cpp	34
/usr/local/bin/../include/c++/v1/stdexcept	1
/src/llama.cpp/src/unicode.h	3
/src/llama.cpp/src/llama-arch.h	4
/src/llama.cpp/ggml/src/ggml-impl.h	14
/src/llama.cpp/ggml/src/ggml-alloc.c	31
/src/llama.cpp/ggml/src/ggml-quants.c	10
/src/llama.cpp/src/llama-context.cpp	14
/src/llama.cpp/src/llama-adapter.h	2
/src/llama.cpp/src/llama-graph.h	6
/src/llama.cpp/src/llama-memory-recurrent.cpp	4
/src/llama.cpp/src/llama-memory.h	2
/src/llama.cpp/src/llama-memory-hybrid.cpp	1
/src/llama.cpp/src/llama-kv-cache.cpp	4
/src/llama.cpp/src/llama-kv-cache.h	3
/src/llama.cpp/src/llama-kv-cells.h	3
/src/llama.cpp/src/llama-kv-cache-iswa.cpp	1
/src/llama.cpp/src/llama-graph.cpp	8
/src/llama.cpp/src/llama-hparams.h	1
/src/llama.cpp/src/llama-batch.h	5
/src/llama.cpp/src/llama-batch.cpp	5
/src/llama.cpp/ggml/src/ggml-opt.cpp	2

Fuzzer: fuzz_json_to_grammar

Call tree

The calltree shows the control flow of the fuzzer. This is overlaid with coverage information to display how much of the potential code a fuzzer can reach is in fact covered at runtime. In the following there is a link to a detailed calltree visualisation as well as a bitmap showing a high-level view of the calltree. For further information about these topics please see the glossary for full calltree and calltree overview

Call tree overview bitmap:

The distribution of callsites in terms of coloring is

Color	Runtime hitcount	Callsite count	Percentage
red	0	367	43.1%
gold	[1:9]	3	0.35%
yellow	[10:29]	8	0.94%
greenyellow	[30:49]	4	0.47%
lawngreen	50+	468	55.0%
All colors	850	100

Fuzz blockers

The following nodes represent call sites where fuzz blockers occur.

Amount of callsites blocked	Calltree index	Parent function	Callsite	Largest blocked function
93	472	void nlohmann::json_abi_v3_12_0::detail::external_constructor<(nlohmann::json_abi_v3_12_0::detail::value_t)6>::construct , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void> >(nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>&, nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::number_unsigned_t)	call site: 00472	_ZN8nlohmann16json_abi_v3_12_06detail11parse_error6createIDnTnNSt3__19enable_ifIXsr21is_basic_json_contextIT_EE5valueEiE4typeELi0EEES2_iRKNS1_10position_tERKNS4_12basic_stringIcNS4_11char_traitsIcEENS4_9allocatorIcEEEES6_
39	242	nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::end()	call site: 00242	_ZN8nlohmann16json_abi_v3_12_010basic_jsonINSt3__13mapENS2_6vectorENS2_12basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEblmdS8_NS0_14adl_serializerENS4_IhNS8_IhEEEEvE5eraseINS0_6detail9iter_implISE_EETnNS2_9enable_ifIXoosr3std7is_sameIT_SI_EE5valuesr3std7is_sameISK_NSH_IKSE_EEEE5valueEiE4typeELi0EEESK_SK_
21	370	_ZN8nlohmann16json_abi_v3_12_010basic_jsonINSt3__13mapENS2_6vectorENS2_12basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEblmdS8_NS0_14adl_serializerENS4_IhNS8_IhEEEEvEC2IRSA_SA_TnNS2_9enable_ifIXaantsr6detail13is_basic_jsonIT0_EE5valuesr6detail18is_compatible_typeISE_SI_EE5valueEiE4typeELi0EEEOT_	call site: 00370	_ZN8nlohmann16json_abi_v3_12_06detail11parse_error6createIDnTnNSt3__19enable_ifIXsr21is_basic_json_contextIT_EE5valueEiE4typeELi0EEES2_iRKNS1_10position_tERKNS4_12basic_stringIcNS4_11char_traitsIcEENS4_9allocatorIcEEEES6_
16	392	std::__1::basic_string , std::__1::allocator > nlohmann::json_abi_v3_12_0::detail::concat , std::__1::allocator >, char const (&) [23], std::__1::basic_string , std::__1::allocator > >(char const (&) [23], std::__1::basic_string , std::__1::allocator >&&)	call site: 00392	_ZN8nlohmann16json_abi_v3_12_06detail12out_of_range6createIPNS0_10basic_jsonINSt3__13mapENS5_6vectorENS5_12basic_stringIcNS5_11char_traitsIcEENS5_9allocatorIcEEEEblmdSB_NS0_14adl_serializerENS7_IhNSB_IhEEEEvEETnNS5_9enable_ifIXsr21is_basic_json_contextIT_EE5valueEiE4typeELi0EEES2_iRKSD_SK_
15	218	nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::json_value::json_value(std::__1::basic_string , std::__1::allocator > const&)	call site: 00218
15	345	nlohmann::json_abi_v3_12_0::detail::parse_error::parse_error(int, unsigned long, char const*)	call site: 00345	_ZN8nlohmann16json_abi_v3_12_010basic_jsonINSt3__13mapENS2_6vectorENS2_12basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEblmdS8_NS0_14adl_serializerENS4_IhNS8_IhEEEEvEC2IRSA_SA_TnNS2_9enable_ifIXaantsr6detail13is_basic_jsonIT0_EE5valuesr6detail18is_compatible_typeISE_SI_EE5valueEiE4typeELi0EEEOT_
12	801	nlohmann::json_abi_v3_12_0::byte_container_with_subtype > > const& nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::get_ref_impl > > const&, nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void> const>(nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void> const&)	call site: 00801	_ZN8nlohmann16json_abi_v3_12_014adl_serializerINS0_27byte_container_with_subtypeINSt3__16vectorIhNS3_9allocatorIhEEEEEEvE7to_jsonINS0_10basic_jsonINS0_11ordered_mapES4_NS3_12basic_stringIcNS3_11char_traitsIcEENS5_IcEEEEblmdS5_S1_S7_vEERKS8_EEDTcmclL_ZNS0_7to_jsonEEfp_clsr3stdE7forwardIT0_Efp0_EEcvv_EERT_OSL_
10	183	nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::operator=(nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>)	call site: 00183	__cxa_allocate_exception
10	411	_ZN8nlohmann16json_abi_v3_12_06detail12out_of_range6createIDnTnNSt3__19enable_ifIXsr21is_basic_json_contextIT_EE5valueEiE4typeELi0EEES2_iRKNS4_12basic_stringIcNS4_11char_traitsIcEENS4_9allocatorIcEEEES6_	call site: 00411	_ZN8nlohmann16json_abi_v3_12_010basic_jsonINSt3__13mapENS2_6vectorENS2_12basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEblmdS8_NS0_14adl_serializerENS4_IhNS8_IhEEEEvEC2IRddTnNS2_9enable_ifIXaantsr6detail13is_basic_jsonIT0_EE5valuesr6detail18is_compatible_typeISE_SI_EE5valueEiE4typeELi0EEEOT_
8	172	nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::data::~data()	call site: 00172
8	204	nlohmann::json_abi_v3_12_0::detail::out_of_range::out_of_range(int, char const*)	call site: 00204	__cxa_throw
8	440	void nlohmann::json_abi_v3_12_0::detail::external_constructor<(nlohmann::json_abi_v3_12_0::detail::value_t)4>::construct , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void> >(nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>&, nlohmann::json_abi_v3_12_0::basic_json , std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::boolean_t)	call site: 00440	_ZN8nlohmann16json_abi_v3_12_010basic_jsonINSt3__13mapENS2_6vectorENS2_12basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEblmdS8_NS0_14adl_serializerENS4_IhNS8_IhEEEEvEC2IRllTnNS2_9enable_ifIXaantsr6detail13is_basic_jsonIT0_EE5valuesr6detail18is_compatible_typeISE_SI_EE5valueEiE4typeELi0EEEOT_

Runtime coverage analysis

Covered functions

498

Functions that are reachable but not covered

159

Reachable functions

673

Percentage of reachable functions covered

76.37%

NB: The sum of covered functions and functions that are reachable but not covered need not be equal to Reachable functions . This is because the reachability analysis is an approximation and thus at runtime some functions may be covered that are not included in the reachability analysis. This is a limitation of our static analysis capabilities.

Function name	source code lines	source lines hit	percentage hit

Files reached

filename	functions hit
/src/llama.cpp/fuzzers/fuzz_json_to_grammar.cpp	1
/src/llama.cpp/vendor/nlohmann/json.hpp	375
/usr/local/bin/../include/c++/v1/__exception/exception.h	2
/src/llama.cpp/common/json-schema-to-grammar.cpp	6
/src/llama.cpp/common/common.cpp	1
/src/llama.cpp/common/json-schema-to-grammar.h	1

Optimal target analysis

Remaining optimal interesting functions

The following table shows a list of functions that are optimal targets. Optimal targets are identified by finding the functions that in combination, yield a high code coverage.

Func name	Functions filename	Arg count	Args	Function depth	hitcount	instr count	bb count	cyclomatic complexity	Reachable functions	Incoming references	total cyclomatic complexity	Unreached complexity
ggml_backend_cpu_graph_compute(ggml_backend*,ggml_cgraph*)	/src/llama.cpp/ggml/src/ggml-cpu/ggml-cpu.cpp	2	['N/A', 'N/A']	15	0	59	9	4	1712	0	7423	7283
SchemaConverter::visit(nlohmann::json_abi_v3_12_0::basic_json ,std::__1::allocator >,bool,long,unsignedlong,double,std::__1::allocator,nlohmann::json_abi_v3_12_0::adl_serializer,std::__1::vector >,void>const&,std::__1::basic_string ,std::__1::allocator >const&)	/src/llama.cpp/common/json-schema-to-grammar.cpp	4	['N/A', 'N/A', 'N/A', 'N/A']	18	0	2479	632	505	507	5	2821	2515
ggml_quantize_chunk	/src/llama.cpp/ggml/src/ggml.c	7	['int', 'N/A', 'N/A', 'size_t', 'size_t', 'size_t', 'N/A']	4	0	274	41	2	99	0	2265	2220
common_init_from_params(common_params&)	/src/llama.cpp/common/common.cpp	2	['N/A', 'N/A']	14	0	992	246	207	1402	0	13147	1627
llama_opt_epoch	/src/llama.cpp/src/llama-context.cpp	7	['N/A', 'N/A', 'N/A', 'N/A', 'size_t', 'N/A', 'N/A']	13	0	12	3	2	390	0	2249	521
llm_build_granite_hybrid::llm_build_granite_hybrid(llama_modelconst&,llm_graph_paramsconst&)	/src/llama.cpp/src/models/granite-hybrid.cpp	3	['N/A', 'N/A', 'N/A']	9	0	226	51	40	284	0	772	454
llama_model_save_to_file	/src/llama.cpp/src/llama.cpp	2	['N/A', 'N/A']	8	0	53	12	9	214	0	543	366

Implementing fuzzers that target the above functions will improve reachability such that it becomes:

Functions statically reachable by fuzzers

2727 / 4486

Cyclomatic complexity statically reachable by fuzzers

30079 / 44112

All functions overview

If you implement fuzzers for these functions, the status of all functions in the project will be:

Func name	Functions filename	Args	Function call depth	Reached by Fuzzers	Runtime reached by Fuzzers	Combined reached by Fuzzers	Fuzzers runtime hit	Func lines hit %	I Count	BB Count	Cyclomatic complexity	Functions reached	Reached by functions	Accumulated cyclomatic complexity	Undiscovered complexity

This sections provides heuristics that can be used as input to a fuzz engine when running a given fuzz target. The current focus is on providing input that is usable by libFuzzer.

/src/llama.cpp/fuzzers/fuzz_apply_template.cpp

Dictionary

Use this with the libFuzzer -dict=DICT.file flag

Fuzzer function priority

Use one of these functions as input to libfuzzer with flag: -focus_function name

-focus_function=['llm_chat_apply_template(llm_chat_template, std::__1::vector > const&, std::__1::basic_string, std::__1::allocator >&, bool)']

/src/llama.cpp/fuzzers/fuzz_grammar.cpp

Dictionary

Use this with the libFuzzer -dict=DICT.file flag

Fuzzer function priority

Use one of these functions as input to libfuzzer with flag: -focus_function name

-focus_function=['llama_grammar_parser::parse_sequence(char const*, std::__1::basic_string, std::__1::allocator > const&, std::__1::vector >&, bool)', 'parse_char(char const*)', 'llama_grammar_parser::parse_sequence(char const*, std::__1::basic_string, std::__1::allocator > const&, std::__1::vector >&, bool)', 'parse_int(char const*)', 'llama_grammar_parser::parse_sequence(char const*, std::__1::basic_string, std::__1::allocator > const&, std::__1::vector >&, bool)']

/src/llama.cpp/fuzzers/fuzz_load_model.cpp

Dictionary

Use this with the libFuzzer -dict=DICT.file flag

Fuzzer function priority

Use one of these functions as input to libfuzzer with flag: -focus_function name

-focus_function=['llama_model_load_from_file_impl(std::__1::basic_string, std::__1::allocator > const&, std::__1::vector, std::__1::allocator >, std::__1::allocator, std::__1::allocator > > >&, llama_model_params)', 'ggml_init', 'ggml_backend_dev_type', 'llama_model::~llama_model()', 'ggml_aligned_malloc', 'ggml_cpu_init', 'get_reg()', 'llama_log_internal_v(ggml_log_level, char const*, __va_list_tag*)']

/src/llama.cpp/fuzzers/fuzz_structured.cpp

Dictionary

Use this with the libFuzzer -dict=DICT.file flag

Fuzzer function priority

Use one of these functions as input to libfuzzer with flag: -focus_function name

-focus_function=['llama_model_load_from_file_impl(std::__1::basic_string, std::__1::allocator > const&, std::__1::vector, std::__1::allocator >, std::__1::allocator, std::__1::allocator > > >&, llama_model_params)', 'ggml_init', 'ggml_backend_dev_type', 'llama_model::~llama_model()', 'ggml_aligned_malloc', 'ggml_cpu_init', 'get_reg()', 'llama_log_internal_v(ggml_log_level, char const*, __va_list_tag*)']

/src/llama.cpp/fuzzers/fuzz_inference.cpp

Dictionary

Use this with the libFuzzer -dict=DICT.file flag

Fuzzer function priority

Use one of these functions as input to libfuzzer with flag: -focus_function name

-focus_function=['llama_model_load(std::__1::basic_string, std::__1::allocator > const&, std::__1::vector, std::__1::allocator >, std::__1::allocator, std::__1::allocator > > >&, llama_model&, llama_model_params&)', 'llama_model::~llama_model()', 'llama_model::load_hparams(llama_model_loader&)', 'llama_file::impl::seek(unsigned long, int) const', 'GGUFMeta::GKV::set(gguf_context const*, int, unsigned short&, llama_model_kv_override const*)', 'GGUFMeta::GKV::get_kv(gguf_context const*, int)', 'LLVMFuzzerTestOneInput', 'llama_model::load_hparams(llama_model_loader&)', '_ZN8GGUFMeta3GKVINSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEE12try_overrideIS7_EENS1_9enable_ifIXsr3std7is_sameIT_S7_EE5valueEbE4typeERS7_PK23llama_model_kv_override', 'GGUFMeta::GKV::get_kv(gguf_context const*, int)']

/src/llama.cpp/fuzzers/fuzz_json_to_grammar.cpp

Dictionary

Use this with the libFuzzer -dict=DICT.file flag

Fuzzer function priority

Use one of these functions as input to libfuzzer with flag: -focus_function name

-focus_function=['void nlohmann::json_abi_v3_12_0::detail::external_constructor<(nlohmann::json_abi_v3_12_0::detail::value_t)6>::construct, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void> >(nlohmann::json_abi_v3_12_0::basic_json, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>&, nlohmann::json_abi_v3_12_0::basic_json, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::number_unsigned_t)', 'nlohmann::json_abi_v3_12_0::basic_json, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::end()', '_ZN8nlohmann16json_abi_v3_12_010basic_jsonINSt3__13mapENS2_6vectorENS2_12basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEblmdS8_NS0_14adl_serializerENS4_IhNS8_IhEEEEvEC2IRSA_SA_TnNS2_9enable_ifIXaantsr6detail13is_basic_jsonIT0_EE5valuesr6detail18is_compatible_typeISE_SI_EE5valueEiE4typeELi0EEEOT_', 'std::__1::basic_string, std::__1::allocator > nlohmann::json_abi_v3_12_0::detail::concat, std::__1::allocator >, char const (&) [23], std::__1::basic_string, std::__1::allocator > >(char const (&) [23], std::__1::basic_string, std::__1::allocator >&&)', 'nlohmann::json_abi_v3_12_0::basic_json, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::json_value::json_value(std::__1::basic_string, std::__1::allocator > const&)', 'nlohmann::json_abi_v3_12_0::detail::parse_error::parse_error(int, unsigned long, char const*)', 'nlohmann::json_abi_v3_12_0::byte_container_with_subtype > > const& nlohmann::json_abi_v3_12_0::basic_json, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::get_ref_impl > > const&, nlohmann::json_abi_v3_12_0::basic_json, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void> const>(nlohmann::json_abi_v3_12_0::basic_json, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void> const&)', 'nlohmann::json_abi_v3_12_0::basic_json, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::operator=(nlohmann::json_abi_v3_12_0::basic_json, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>)', '_ZN8nlohmann16json_abi_v3_12_06detail12out_of_range6createIDnTnNSt3__19enable_ifIXsr21is_basic_json_contextIT_EE5valueEiE4typeELi0EEES2_iRKNS4_12basic_stringIcNS4_11char_traitsIcEENS4_9allocatorIcEEEES6_', 'nlohmann::json_abi_v3_12_0::basic_json, std::__1::allocator >, bool, long, unsigned long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector >, void>::data::~data()']

This section shows analysis of runtime coverage data.

For futher technical details on how this section is generated, please see the Glossary .

Complex functions with low coverage

Func name	Function total lines	Lines covered at runtime	percentage covered	Reached by fuzzers
llama_model_loader::llama_model_loader(std::__1::basic_string ,std::__1::allocator >const&,std::__1::vector ,std::__1::allocator >,std::__1::allocator ,std::__1::allocator >>>&,bool,bool,llama_model_kv_overrideconst*,llama_model_tensor_buft_overrideconst*)	185	87	47.02%	['fuzz_structured', 'fuzz_inference', 'fuzz_load_model']
llama_model_ftype_name(llama_ftype)	41	9	21.95%	['fuzz_structured', 'fuzz_inference', 'fuzz_load_model']
llama_model::load_hparams(llama_model_loader&)	1528	72	4.712%	['fuzz_structured', 'fuzz_inference', 'fuzz_load_model']
nlohmann::json_abi_v3_12_0::basic_json ,std::__1::allocator >,bool,long,unsignedlong,double,std::__1::allocator,nlohmann::json_abi_v3_12_0::adl_serializer,std::__1::vector >,void>::json_value::json_value(nlohmann::json_abi_v3_12_0::detail::value_t)	60	17	28.33%	['fuzz_json_to_grammar']
nlohmann::json_abi_v3_12_0::detail::parser ,std::__1::allocator >,bool,long,unsignedlong,double,std::__1::allocator,nlohmann::json_abi_v3_12_0::adl_serializer,std::__1::vector >,void>,nlohmann::json_abi_v3_12_0::detail::iterator_input_adapter >::parse(bool,nlohmann::json_abi_v3_12_0::basic_json ,std::__1::allocator >,bool,long,unsignedlong,double,std::__1::allocator,nlohmann::json_abi_v3_12_0::adl_serializer,std::__1::vector >,void>&)	40	16	40.0%	['fuzz_json_to_grammar']
nlohmann::json_abi_v3_12_0::basic_json ,std::__1::allocator >,bool,long,unsignedlong,double,std::__1::allocator,nlohmann::json_abi_v3_12_0::adl_serializer,std::__1::vector >,void>::json_value::json_value(nlohmann::json_abi_v3_12_0::detail::value_t)	60	9	15.0%	['fuzz_json_to_grammar']
nlohmann::json_abi_v3_12_0::detail::iter_impl ,std::__1::allocator >,bool,long,unsignedlong,double,std::__1::allocator,nlohmann::json_abi_v3_12_0::adl_serializer,std::__1::vector >,void>>::set_begin()	33	14	42.42%	['fuzz_json_to_grammar']
nlohmann::json_abi_v3_12_0::detail::iter_impl ,std::__1::allocator >,bool,long,unsignedlong,double,std::__1::allocator,nlohmann::json_abi_v3_12_0::adl_serializer,std::__1::vector >,void>>::operator*()const	33	14	42.42%	['fuzz_json_to_grammar']
nlohmann::json_abi_v3_12_0::detail::serializer ,std::__1::allocator >,bool,long,unsignedlong,double,std::__1::allocator,nlohmann::json_abi_v3_12_0::adl_serializer,std::__1::vector >,void>>::dump(nlohmann::json_abi_v3_12_0::basic_json ,std::__1::allocator >,bool,long,unsignedlong,double,std::__1::allocator,nlohmann::json_abi_v3_12_0::adl_serializer,std::__1::vector >,void>const&,bool,bool,unsignedint,unsignedint)	215	99	46.04%	['fuzz_json_to_grammar']
nlohmann::json_abi_v3_12_0::detail::serializer ,std::__1::allocator >,bool,long,unsignedlong,double,std::__1::allocator,nlohmann::json_abi_v3_12_0::adl_serializer,std::__1::vector >,void>>::dump_escaped(std::__1::basic_string ,std::__1::allocator >const&,bool)	188	94	50.0%	['fuzz_json_to_grammar']

This section shows which files and directories are considered in this report. The main reason for showing this is fuzz introspector may include more code in the reasoning than is desired. This section helps identify if too many files/directories are included, e.g. third party code, which may be irrelevant for the threat model. In the event too much is included, fuzz introspector supports a configuration file that can exclude data from the report. See the following link for more information on how to create a config file: link

Files in report

Source file	Reached by	Covered by
	[]	[]
/src/llama.cpp/vendor/nlohmann/json.hpp	['fuzz_json_to_grammar']	['fuzz_json_to_grammar']
/usr/local/bin/../include/c++/v1/stdexcept	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	[]
/src/llama.cpp/src/models/chameleon.cpp	[]	[]
/src/llama.cpp/src/llama-chat.cpp	['fuzz_apply_template']	['fuzz_apply_template']
/src/llama.cpp/src/models/neo-bert.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-backend-reg.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/ggml/src/ggml-cpu/arch/x86/quants.c	[]	[]
/src/llama.cpp/src/models/nemotron-h.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/ggml-cpu.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/llama-model-loader.h	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_inference']
/src/llama.cpp/src/models/exaone4.cpp	[]	[]
/src/llama.cpp/src/llama-kv-cache.cpp	['fuzz_inference']	[]
/src/llama.cpp/src/models/cogvlm.cpp	[]	[]
/src/llama.cpp/src/llama-memory-recurrent.cpp	['fuzz_inference']	[]
/src/llama.cpp/src/llama-io.h	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/simd-mappings.h	[]	[]
/src/llama.cpp/src/llama-model.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/llama-hparams.h	['fuzz_inference']	[]
/src/llama.cpp/src/models/bert.cpp	[]	[]
/src/llama.cpp/src/models/rnd1.cpp	[]	[]
/src/llama.cpp/src/models/plamo2.cpp	[]	[]
/src/llama.cpp/src/llama.cpp	['fuzz_apply_template', 'fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_apply_template', 'fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/llama-memory.cpp	[]	[]
/src/llama.cpp/src/llama-model.h	[]	[]
/src/llama.cpp/ggml/src/./ggml-impl.h	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/fuzzers/fuzz_structured.cpp	['fuzz_structured']	['fuzz_structured']
/src/llama.cpp/src/llama-arch.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_inference']
/src/llama.cpp/fuzzers/fuzz_apply_template.cpp	['fuzz_apply_template']	['fuzz_apply_template']
/src/llama.cpp/src/models/../llama-batch.h	[]	[]
/src/llama.cpp/src/models/llama-iswa.cpp	[]	[]
/src/llama.cpp/src/llama-model-saver.cpp	[]	[]
/src/llama.cpp/src/models/deepseek.cpp	[]	[]
/src/llama.cpp/src/models/granite.cpp	[]	[]
/src/llama.cpp/vendor/nlohmann/json_fwd.hpp	[]	[]
/src/llama.cpp/ggml/src/ggml-quants.c	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/unicode.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_inference']
/src/llama.cpp/src/models/gemma3-iswa.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-alloc.c	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	[]
/src/llama.cpp/src/llama-mmap.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/llama-memory-hybrid.cpp	['fuzz_inference']	[]
/src/llama.cpp/src/models/openai-moe-iswa.cpp	[]	[]
/src/llama.cpp/src/llama-batch.cpp	['fuzz_inference']	[]
/src/llama.cpp/src/models/llada.cpp	[]	[]
/src/llama.cpp/src/models/ernie4-5-moe.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/common.h	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/unary-ops.cpp	[]	[]
/src/llama.cpp/src/models/stablelm.cpp	[]	[]
/src/llama.cpp/common/../vendor/nlohmann/json_fwd.hpp	[]	[]
/src/llama.cpp/src/llama-impl.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/models/qwen3.cpp	[]	[]
/src/llama.cpp/fuzzers/fuzz_json_to_grammar.cpp	['fuzz_json_to_grammar']	['fuzz_json_to_grammar']
/src/llama.cpp/fuzzers/fuzz_inference.cpp	['fuzz_inference']	['fuzz_inference']
/src/llama.cpp/src/llama-kv-cache.h	['fuzz_inference']	['fuzz_inference']
/usr/local/bin/../include/c++/v1/istream	[]	[]
/src/llama.cpp/src/models/gpt2.cpp	[]	[]
/src/llama.cpp/src/llama-context.h	[]	[]
/src/llama.cpp/ggml/src/ggml-backend.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/common/common.cpp	['fuzz_inference', 'fuzz_json_to_grammar']	['fuzz_inference', 'fuzz_json_to_grammar']
/src/llama.cpp/src/llama-adapter.h	['fuzz_inference']	[]
/src/llama.cpp/src/unicode-data.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/llamafile/sgemm.cpp	[]	[]
/src/llama.cpp/src/models/qwen3moe.cpp	[]	[]
/src/llama.cpp/src/models/command-r.cpp	[]	[]
/src/llama.cpp/src/models/glm4.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-threading.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/models/cohere2-iswa.cpp	[]	[]
/src/llama.cpp/src/models/plamo.cpp	[]	[]
/src/llama.cpp/common/json-schema-to-grammar.cpp	['fuzz_json_to_grammar']	['fuzz_json_to_grammar']
/src/llama.cpp/src/models/baichuan.cpp	[]	[]
/src/llama.cpp/src/models/wavtokenizer-dec.cpp	[]	[]
/src/llama.cpp/src/models/deci.cpp	[]	[]
/src/llama.cpp/src/models/smollm3.cpp	[]	[]
/src/llama.cpp/fuzzers/fuzz_grammar.cpp	['fuzz_grammar']	['fuzz_grammar']
/src/llama.cpp/src/models/minimax-m2.cpp	[]	[]
/src/llama.cpp/common/log.cpp	[]	[]
/src/llama.cpp/src/models/bloom.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-opt.cpp	['fuzz_inference']	[]
/src/llama.cpp/ggml/src/ggml-cpu/traits.h	[]	[]
/src/llama.cpp/src/llama-adapter.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/binary-ops.cpp	[]	[]
/src/llama.cpp/src/models/gemma-embedding.cpp	[]	[]
/src/llama.cpp/src/models/falcon.cpp	[]	[]
/src/llama.cpp/src/models/t5-dec.cpp	[]	[]
/src/llama.cpp/src/models/hunyuan-dense.cpp	[]	[]
/src/llama.cpp/src/models/falcon-h1.cpp	[]	[]
/usr/local/bin/../include/c++/v1/__exception/exception_ptr.h	[]	[]
/src/llama.cpp/ggml/src/../include/ggml-cpp.h	[]	[]
/src/llama.cpp/src/models/pangu-embedded.cpp	[]	[]
/src/llama.cpp/src/models/rwkv6qwen2.cpp	[]	[]
/src/llama.cpp/src/models/t5-enc.cpp	[]	[]
/src/llama.cpp/src/models/rwkv6.cpp	[]	[]
/src/llama.cpp/src/llama-memory-hybrid.h	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/arch/x86/repack.cpp	[]	[]
/src/llama.cpp/src/models/lfm2.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/traits.cpp	[]	[]
/src/llama.cpp/src/models/phi2.cpp	[]	[]
/src/llama.cpp/src/models/afmoe.cpp	[]	[]
/src/llama.cpp/src/../include/llama-cpp.h	[]	[]
/src/llama.cpp/ggml/src/ggml-impl.h	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/models/xverse.cpp	[]	[]
/src/llama.cpp/src/models/mpt.cpp	[]	[]
/src/llama.cpp/src/models/jamba.cpp	[]	[]
/src/llama.cpp/src/models/olmo.cpp	[]	[]
/src/llama.cpp/src/models/ernie4-5.cpp	[]	[]
/src/llama.cpp/src/models/hunyuan-moe.cpp	[]	[]
/src/llama.cpp/src/models/dbrx.cpp	[]	[]
/src/llama.cpp/src/models/grovemoe.cpp	[]	[]
/src/llama.cpp/src/models/rwkv7.cpp	[]	[]
/src/llama.cpp/src/models/dream.cpp	[]	[]
/src/llama.cpp/src/models/seed-oss.cpp	[]	[]
/src/llama.cpp/common/common.h	['fuzz_inference']	[]
/src/llama.cpp/src/models/llada-moe.cpp	[]	[]
/src/llama.cpp/src/llama-io.cpp	[]	[]
/src/llama.cpp/src/llama-graph.h	['fuzz_inference']	[]
/src/llama.cpp/src/models/codeshell.cpp	[]	[]
/src/llama.cpp/common/json-schema-to-grammar.h	['fuzz_json_to_grammar']	[]
/src/llama.cpp/src/models/../llama-graph.h	[]	[]
/src/llama.cpp/src/unicode.h	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	[]
/src/llama.cpp/src/models/arctic.cpp	[]	[]
/src/llama.cpp/src/models/deepseek2.cpp	[]	[]
/src/llama.cpp/src/models/qwen3vl.cpp	[]	[]
/src/llama.cpp/src/llama-impl.h	[]	[]
/src/llama.cpp/src/models/grok.cpp	[]	[]
/src/llama.cpp/src/models/arcee.cpp	[]	[]
/src/llama.cpp/src/models/qwen2moe.cpp	[]	[]
/src/llama.cpp/src/llama-grammar.cpp	['fuzz_grammar']	['fuzz_grammar']
/src/llama.cpp/src/models/phi3.cpp	[]	[]
/src/llama.cpp/src/llama-kv-cache-iswa.cpp	['fuzz_inference']	[]
/src/llama.cpp/fuzzers/fuzz_load_model.cpp	['fuzz_load_model']	['fuzz_load_model']
/src/llama.cpp/src/models/nemotron.cpp	[]	[]
/src/llama.cpp/src/models/exaone.cpp	[]	[]
/src/llama.cpp/src/models/olmoe.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/repack.cpp	[]	[]
/src/llama.cpp/src/llama-model-loader.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_inference']
/src/llama.cpp/src/models/plm.cpp	[]	[]
/src/llama.cpp/src/llama-memory.h	['fuzz_inference']	[]
/src/llama.cpp/src/models/refact.cpp	[]	[]
/src/llama.cpp/src/models/mamba.cpp	[]	[]
/src/llama.cpp/src/llama-kv-cache-iswa.h	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/vec.h	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/models/rwkv6-base.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/ops.cpp	[]	[]
/src/llama.cpp/src/llama-vocab.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/models/bailingmoe.cpp	[]	[]
/src/llama.cpp/src/models/openelm.cpp	[]	[]
/src/llama.cpp/src/llama-graph.cpp	['fuzz_inference']	[]
/src/llama.cpp/src/llama-context.cpp	['fuzz_inference']	[]
/src/llama.cpp/ggml/src/ggml-cpu/vec.cpp	[]	[]
/src/llama.cpp/src/llama-grammar.h	['fuzz_grammar']	[]
/usr/local/bin/../include/c++/v1/__exception/exception.h	['fuzz_json_to_grammar']	[]
/src/llama.cpp/src/models/jais.cpp	[]	[]
/src/llama.cpp/common/../vendor/nlohmann/json.hpp	[]	['fuzz_json_to_grammar']
/src/llama.cpp/src/models/apertus.cpp	[]	[]
/src/llama.cpp/src/models/qwen3vl-moe.cpp	[]	[]
/src/llama.cpp/src/models/gptneox.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/ggml-cpu.c	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/ggml/src/ggml.c	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']
/src/llama.cpp/src/llama-hparams.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	[]
/src/llama.cpp/src/models/granite-hybrid.cpp	[]	[]
/src/llama.cpp/src/models/internlm2.cpp	[]	[]
/src/llama.cpp/src/models/bitnet.cpp	[]	[]
/src/llama.cpp/src/llama-vocab.h	[]	[]
/src/llama.cpp/src/models/qwen2vl.cpp	[]	[]
/src/llama.cpp/ggml/src/ggml-cpu/quants.c	[]	[]
/src/llama.cpp/src/models/arwkv7.cpp	[]	[]
/src/llama.cpp/src/models/glm4-moe.cpp	[]	[]
/src/llama.cpp/src/models/llama.cpp	[]	[]
/src/llama.cpp/src/models/orion.cpp	[]	[]
/src/llama.cpp/src/models/qwen2.cpp	[]	[]
/src/llama.cpp/src/models/smallthinker.cpp	[]	[]
/src/llama.cpp/src/models/starcoder.cpp	[]	[]
/src/llama.cpp/src/models/minicpm3.cpp	[]	[]
/src/llama.cpp/src/llama-arch.h	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	[]
/src/llama.cpp/src/models/gemma3n-iswa.cpp	[]	[]
/src/llama.cpp/src/models/bailingmoe2.cpp	[]	[]
/src/llama.cpp/src/models/qwen.cpp	[]	[]
/src/llama.cpp/src/models/models.h	[]	[]
/src/llama.cpp/src/llama-batch.h	['fuzz_inference']	[]
/src/llama.cpp/src/llama-kv-cells.h	['fuzz_inference']	['fuzz_inference']
/src/llama.cpp/ggml/src/gguf.cpp	['fuzz_load_model', 'fuzz_structured', 'fuzz_inference']	['fuzz_inference']
/src/llama.cpp/src/models/dots1.cpp	[]	[]
/usr/local/bin/../include/c++/v1/string	[]	[]
/src/llama.cpp/src/models/gemma.cpp	[]	[]
/src/llama.cpp/src/llama-memory-recurrent.h	[]	[]
/src/llama.cpp/src/models/olmo2.cpp	[]	[]
/src/llama.cpp/src/models/chatglm.cpp	[]	[]
/src/llama.cpp/src/models/gemma2-iswa.cpp	[]	[]
/src/llama.cpp/src/models/starcoder2.cpp	[]	[]
/src/llama.cpp/src/models/rwkv7-base.cpp	[]	[]
/src/llama.cpp/src/models/graph-context-mamba.cpp	[]	[]

Directories in report

Directory
/src/llama.cpp/fuzzers/
/src//src/models/
/src/llama.cpp/src/../include/
/src//src/
/src/llama.cpp/vendor/nlohmann/
/src/llama.cpp/ggml/src/ggml-cpu/arch/x86/
/src/llama.cpp/common/
/usr/local/bin/../include/c++/v1/
/src/llama.cpp/ggml/src/
/src/llama.cpp/ggml/src/ggml-cpu/
/src/llama.cpp/src/
/src/llama.cpp/ggml/src/ggml-cpu/llamafile/
/usr/local/bin/../include/c++/v1/__exception/
/src/llama.cpp/ggml/src/./
/src/llama.cpp/common/../vendor/nlohmann/
/src/llama.cpp/ggml/src/../include/
/src/llama.cpp/src/models/
/src/llama.cpp/src/models/../