package binsec

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in-package search v0.2.0

Semantic analysis of binary executables

Install

Dune Dependency

binsec.github.io Readme Changelog LGPL-2.1-or-later License Edit opam file Versions (18)

Authors

Maintainers

B

BINSEC <binsec@saxifrage.saclay.cea.fr>

Sources

binsec-0.7.2.tbz

sha256=5e1d0f26a567df4abcbeb964b454cf8b2c8484194ff2d9639bdeb94d63edcb3b

sha512=a638c665407fde9aadbd57a7b9f84260db8f03c0cbf65722732d43dfc93122d801e31977e0ba7cd249b340262caf216bca746a3520d0e01d487a5baf6a6c77e6

doc/binsec/Binsec/Ghidra_cfg/index.html

Module `Binsec.Ghidra_cfg`

type kind =

| Fallthrough
(*
The instruction jumps to its immediate follower.
*)
| Branch
(*
The instruction branchs to another one.
*)
| Call
(*
The instruction calls a function.
*)
| Return of Virtual_address.t
(*
The instruction returns to the caller.
*)
| Presumed
(*
The instruction calls a function that may not return properly. Its immediate follower is taken as successor.
*)

include Graph.Sig.I
  with type V.t = Virtual_address.t
   and type E.t = Virtual_address.t * kind * Virtual_address.t

An imperative graph is a graph.

include Graph.Sig.G
  with type V.t = Virtual_address.t
  with type E.t = Virtual_address.t * kind * Virtual_address.t

Graph structure

type t

Abstract type of graphs

module V : Graph.Sig.VERTEX with type t = Virtual_address.t

Vertices have type V.t and are labeled with type V.label (note that an implementation may identify the vertex with its label)

type vertex = V.t

module E : 
  Graph.Sig.EDGE
    with type vertex = vertex
    with type t = Virtual_address.t * kind * Virtual_address.t

Edges have type E.t and are labeled with type E.label. src (resp. dst) returns the origin (resp. the destination) of a given edge.

type edge = E.t

val is_directed : bool

Is this an implementation of directed graphs?

Size functions

val is_empty : t -> bool

val nb_vertex : t -> int

val nb_edges : t -> int

Degree of a vertex

val out_degree : t -> vertex -> int

out_degree g v returns the out-degree of v in g.

raises Invalid_argument
if v is not in g.

val in_degree : t -> vertex -> int

in_degree g v returns the in-degree of v in g.

raises Invalid_argument
if v is not in g.

Membership functions

val mem_vertex : t -> vertex -> bool

val mem_edge : t -> vertex -> vertex -> bool

val mem_edge_e : t -> edge -> bool

val find_edge : t -> vertex -> vertex -> edge

find_edge g v1 v2 returns the edge from v1 to v2 if it exists. Unspecified behaviour if g has several edges from v1 to v2.

raises Not_found
if no such edge exists.

val find_all_edges : t -> vertex -> vertex -> edge list

find_all_edges g v1 v2 returns all the edges from v1 to v2.

since ocamlgraph 1.8

Successors and predecessors

You should better use iterators on successors/predecessors (see Section "Vertex iterators").

val succ : t -> vertex -> vertex list

succ g v returns the successors of v in g.

raises Invalid_argument
if v is not in g.

val pred : t -> vertex -> vertex list

pred g v returns the predecessors of v in g.

raises Invalid_argument
if v is not in g.

Labeled edges going from/to a vertex

val succ_e : t -> vertex -> edge list

succ_e g v returns the edges going from v in g.

raises Invalid_argument
if v is not in g.

val pred_e : t -> vertex -> edge list

pred_e g v returns the edges going to v in g.

raises Invalid_argument
if v is not in g.

Graph iterators

val iter_vertex : (vertex -> unit) -> t -> unit

Iter on all vertices of a graph.

val fold_vertex : (vertex -> 'a -> 'a) -> t -> 'a -> 'a

Fold on all vertices of a graph.

val iter_edges : (vertex -> vertex -> unit) -> t -> unit

Iter on all edges of a graph. Edge label is ignored.

val fold_edges : (vertex -> vertex -> 'a -> 'a) -> t -> 'a -> 'a

Fold on all edges of a graph. Edge label is ignored.

val iter_edges_e : (edge -> unit) -> t -> unit

Iter on all edges of a graph.

val fold_edges_e : (edge -> 'a -> 'a) -> t -> 'a -> 'a

Fold on all edges of a graph.

val map_vertex : (vertex -> vertex) -> t -> t

Map on all vertices of a graph.

The current implementation requires the supplied function to be injective. Said otherwise, map_vertex cannot be used to contract a graph by mapping several vertices to the same vertex. To contract a graph, use instead create, add_vertex, and add_edge.

Vertex iterators

Each iterator iterator f v g iters f to the successors/predecessors of v in the graph g and raises Invalid_argument if v is not in g. It is the same for functions fold_* which use an additional accumulator.

<b>Time complexity for ocamlgraph implementations:</b> operations on successors are in O(1) amortized for imperative graphs and in O(ln(|V|)) for persistent graphs while operations on predecessors are in O(max(|V|,|E|)) for imperative graphs and in O(max(|V|,|E|)*ln|V|) for persistent graphs.

iter/fold on all successors/predecessors of a vertex.

val iter_succ : (vertex -> unit) -> t -> vertex -> unit

val iter_pred : (vertex -> unit) -> t -> vertex -> unit

val fold_succ : (vertex -> 'a -> 'a) -> t -> vertex -> 'a -> 'a

val fold_pred : (vertex -> 'a -> 'a) -> t -> vertex -> 'a -> 'a

iter/fold on all edges going from/to a vertex.

val iter_succ_e : (edge -> unit) -> t -> vertex -> unit

val fold_succ_e : (edge -> 'a -> 'a) -> t -> vertex -> 'a -> 'a

val iter_pred_e : (edge -> unit) -> t -> vertex -> unit

val fold_pred_e : (edge -> 'a -> 'a) -> t -> vertex -> 'a -> 'a

val create : ?size:int -> unit -> t

create () returns an empty graph. Optionally, a size can be given, which should be on the order of the expected number of vertices that will be in the graph (for hash tables-based implementations). The graph grows as needed, so size is just an initial guess.

val clear : t -> unit

Remove all vertices and edges from the given graph.

since ocamlgraph 1.4

val copy : t -> t

copy g returns a copy of g. Vertices and edges (and eventually marks, see module Mark) are duplicated.

val add_vertex : t -> vertex -> unit

add_vertex g v adds the vertex v to the graph g. Do nothing if v is already in g.

val remove_vertex : t -> vertex -> unit

remove g v removes the vertex v from the graph g (and all the edges going from v in g). Do nothing if v is not in g.

<b>Time complexity for ocamlgraph implementations:</b> O(|V|*ln(D)) for unlabeled graphs and O(|V|*D) for labeled graphs. D is the maximal degree of the graph.

val add_edge : t -> vertex -> vertex -> unit

add_edge g v1 v2 adds an edge from the vertex v1 to the vertex v2 in the graph g. Add also v1 (resp. v2) in g if v1 (resp. v2) is not in g. Do nothing if this edge is already in g.

val add_edge_e : t -> edge -> unit

add_edge_e g e adds the edge e in the graph g. Add also E.src e (resp. E.dst e) in g if E.src e (resp. E.dst e) is not in g. Do nothing if e is already in g.

val remove_edge : t -> vertex -> vertex -> unit

remove_edge g v1 v2 removes the edge going from v1 to v2 from the graph g. If the graph is labelled, all the edges going from v1 to v2 are removed from g. Do nothing if this edge is not in g.

raises Invalid_argument
if v1 or v2 are not in g.

val remove_edge_e : t -> edge -> unit

remove_edge_e g e removes the edge e from the graph g. Do nothing if e is not in g.

raises Invalid_argument
if E.src e or E.dst e are not in g.

val parse_cache : path:string -> t * string Virtual_address.Htbl.t

parse_cache ~path build a new graph from the saved textual output of a previously Ghidra run.

parameter path
The path of the Ghidra log.

returns
A new imperative graph with its mnemonic mapping.

val run_ghidra : 
  ?temp_dir:string ->
  ?cache:string ->
  runner:string ->
  string ->
  t * string Virtual_address.Htbl.t

run_ghidra ?cache ~runner binary run Ghidra disassembly on the binary file and extract its control flow graph.

parameter temp_dir
The path of the workspace in which Ghidra will be run (default is /dev/shm).

parameter cache
If any, save in this file the textual output of Ghidra for later use.

parameter runner
The path of the the analyzeHeadless Ghidra script.

parameter binary
The path of the binary under study.

returns
A new imperative graph with its mnemonic mapping.

val import : unit -> t * string Virtual_address.Htbl.t

import () calls run_ghidra or parse_cache on the executatble file (Kernel_options.ExecFile) according to the global options Ghidra_options.Runner and Ghidra_options.Cache.

returns
A new imperative graph with its mnemonic mapping.