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. Installripgrepby following the instructions on its GitHub page.apktool: A tool for reverse engineering and disassembling Android apk files. Installapktoolby following the instructions on its official website.
git clone https://github.com/oriori1703/sigmatcher.git
pip install ./sigmatcherTo 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):
sigmatcher analyze path/to/your/app.apk --signatures path/to/your/signature_file.yaml
This command will decode the APK, apply the signatures, and output the analysis results, highlighting matched classes, methods and fields.
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 --output definitions.schema.jsonYou can add the one of the following comments to the top of your signature file depending on your IDE:
Intellij IDEs:
# $schema: ./definitions.schema.jsonyaml-language-server IDEs (vs-code, neovim, etc):
# yaml-language-server: $schema=./definitions.schema.jsonYou can also combine them to support both:
# $schema: ./definitions.schema.json
# yaml-language-server: $schema=./definitions.schema.jsonA 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
# yaml-language-server: $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
regexandglob). - 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
matchcapture group for regex signatures. - count: The number of times the signature should appear to be considered a match. Can be either an integer or a string of the form "min-max". Defaults to 1.
- version_range: Optional. Specifies the application versions this signature applies to, using version specifiers like those used by pip and described in PEP-440. This could also contains a list of specifers, which act like a the logical "or" operator.
- type: The type of signature (for now only
Most of those fields are optional, and you can use them as needed.
Macros allow you to reference properties from other matched results within your signatures, enabling dynamic and context-aware pattern matching. Macros are particularly useful when you need to create signatures that depend on information from previously matched classes, methods, fields, or exports.
Macros use the format ${<result_name>.<property>}, where:
result_nameis the name of another definition in your signature filepropertyis a property of the matched result object
Depending on the type of result, different properties are available:
For Classes:
name: The class name (e.g., "ConnectionManager")package: The package name (e.g., "com.example.package.network")full_name: The complete class name with package (e.g., "com.example.package.network.ConnectionManager")java: The Java representation (e.g., "Lcom/example/package/network/ConnectionManager;")fields.FieldName: Access to specific field results (e.g.,fields.socketreturns the matched field object)methods.MethodName: Access to specific method results (e.g.,methods.readreturns the matched method object)exports.ExportName: Access to specific export results (e.g.,exports.someExportreturns the matched export object)
For Methods:
name: The method name (e.g., "read")argument_types: The method argument types (e.g., "Ljava/lang/String;")return_type: The method return type (e.g., "V")java: The complete Java representation (e.g., "read(Ljava/lang/String;)V")
For Fields:
name: The field name (e.g., "socket")type: The field type (e.g., "Ljava/net/Socket;")java: The complete Java representation (e.g., "socket:Ljava/net/Socket;")
For Exports:
value: The exported string value
Here's an example showing how macros can be used to create interdependent signatures:
# $schema: ./definitions.schema.json
# yaml-language-server: $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
fields:
- name: "socket"
signatures:
- signature: '^\.field private final (?P<match>.+:Ljava/net/Socket;)'
type: regex
count: 1
- name: "NetworkHandler"
package: "com.example.package.network"
signatures:
- signature: 'new-instance v\d+, ${ConnectionManager.java}'
type: regex
count: 1
methods:
- name: "handleConnection"
signatures:
- signature: 'iget-object v\d+, v\d+, ${ConnectionManager.fields.socket.java}'
type: regex
count: 1In this example:
- The
NetworkHandlerclass uses a macro to reference the Java representation of theConnectionManagerclass - The
handleConnectionmethod uses a macro to reference the socket field from theConnectionManagerclass
- Definition Order Doesn't Matter: Sigmatcher automatically sorts the dependency graph, so macros can reference results that are defined later in the YAML file
- Macros are resolved at analysis time after the dependency graph is sorted
- If a macro references a result that cannot be matched, the signature will fail to match
- Use the
javaproperty when you need the complete Java/Smali representation of a class, method, or field - Macros work with both
regexandglobsignature types
sigmatcher is distributed under the terms of the MIT license.