Sigmatcher is a powerful tool designed to automate the process of matching Java classes and methods across different versions of an application. It leverages signature on the smali (disassembled java code) to identify and correlate code elements, making it an invaluable resource for long-running reverse engineering projects.
Before installing sigmatcher
, ensure you have the following prerequisites installed:
ripgrep
: A command-line search tool that recursively searches your current directory for a regex pattern. Installripgrep
by following the instructions on its GitHub page.apktool
: A tool for reverse engineering and disassembling Android apk files. Installapktool
by following the instructions on its official website.
git clone https://github.com/oriori1703/sigmatcher.git
pip install ./sigmatcher
To get started with sigmatcher, follow these steps:
- Create a Signature File: Signature files (.yaml) define the patterns and signatures that Sigmatcher will use to analyze the APK files. These files should specify the classes, methods, and fields you're interested in, along with any version-specific information. See the Creating Signature Files section example for the format.
- Analyze an APK: With your signature file ready, you can now analyze an APK to find matches for your signatures.
Use the sigmatcher analyze command, specifying the path to the APK and the signature file(s):
This command will decode the APK, apply the signatures, and output the analysis results, highlighting matched classes, methods and fields.
sigmatcher analyze --apk path/to/your/app.apk --signatures path/to/your/signature_file.yaml
Signature files are YAML formatted documents that sigmatcher
uses to identify and match Java classes, methods, and
fields in APK files. These files allow you to specify the elements you're interested in tracking across different
versions of an application.
To help you create a signature file sigmatcher
provides a JSON schema that you can use to validate your signature, and
get autocompletion and intellisense from your IDE.
You can get it by running the following command:
sigmatcher schema > definitions.schema.json
To use the schema in your IDE, you can add the following comment to the top of your signature file:
# $schema: ./definitions.schema.json
A signature file consists of a list of definitions, where each definition represents a class, method, or field you want
to match. Each definition can include one or more signatures, which are patterns sigmatcher
will use to find matches
in the smali code.
Here's a basic example of what a signature file looks like:
# $schema: ./definitions.schema.json
- name: "ConnectionManager"
package: "com.example.package.network"
signatures:
- signature: 'ConnectionManager/openConnection: could not open connection due to a DNS error'
type: regex
count: 1
methods:
- name: "read"
signatures:
- signature: 'const-string v\d+, "Failed to read data from the server"'
type: regex
count: 1
version_range: ">=1.0.0, <1.3.7"
- signature: 'const-string v\d+, "Failed to read data because of a network error"'
type: regex
count: 1
version_range: ">=1.3.7"
fields:
- name: "socket"
signatures:
- signature: '^\.field private final (?P<match>.+:Ljava/net/Socket;)'
type: regex
count: 1
- name: The name of the class, method, or field.
- methods: A list of method definitions within a class. Follows a similar structure to the class definition.
- fields: A list of field definitions within a class. Follows a similar structure to the class definition.
- exports: A list of export definitions within a class. Exports can be any string in the code. They are mainly used in combination with macros to create more complex signatures.
- signatures: A list of signatures for the class, method, or field. Each signature includes:
- type: The type of signature (for now only
regex
andglob
). - signature: The pattern to match, depending on the signature type.
For classes and methods they just need to match anywhere within the class/method. For fields and exports, they
need to match the full field expression/export string, i.e. using the
match
capture group for regex signatures. - count: The number of times the signature should appear to be considered a match.
- version_range: Optional. Specifies the application versions this signature applies to, using version specifiers like those used by pip and described in PEP-440.
- type: The type of signature (for now only
Most of those fields are optional, and you can use them as needed.
sigmatcher
is distributed under the terms of the MIT license.