Best Source code Blur Strategies

  Best Source code Blur Strategies

Source code How it work

Techniques for scrambling the source code

Every day, the amount and variety of dangerous approaches and programs that hackers use to gain unauthorized access to applications, devices, and personal data increases. 

Often the starting point of an attack is the software code itself. By 2020, finding and exploiting code vulnerabilities will account for 35% of all breaches, making it the first most common infection channel, even before phishing. 

Fortunately, security professionals tasked with protecting the Internet have their own set of tools with which they can defend themselves.


Source code blurring is one of the most powerful tools available to developers and security teams in the fight against app hijacking, device infiltration, code injection, and other behaviors malicious. 

But what is source code fuzziness and what does it mean in terms of software development? We will take a closer look at this now.


What is source code blur and how does it work?



Without modifying the execution of the program, the source code blur alters the source code of the application to make it more difficult and longer to understand. 

Hackers cannot identify vulnerabilities, steal keys, data, or IP addresses, or find other ways to infiltrate applications because source code blurring tools use various methods to make code unmanageable for them.


Decompilation and attackers seeking to reverse engineer a program can be mitigated by having a defined approach to how to scramble code using overlap techniques.


Reverse engineering is a major concern for application security, according to OWASP, because it acts as a launching pad for most types of attacks.


Here are some of the most common blur security techniques used by developers around the world to give you a better idea of ​​how blur works in programming.


There are seven common approaches to scrambling source code.

1. Data transformation


Transforming program-managed data into another form is an important part of source code blurring. 

This has a minor impact on the performance of the code but makes it harder for hackers to break it down or reverse it.


Using the binary form of numbers to make the source code more complex. 

Changing the form in which data is stored, or replacing a value with an expression are all examples of ways to obscure the code in this way.


2. Blocking the code flow


The orientation of the code is changed by changing the control flow of the code. This means that even though the end effects are the same, it takes a lot longer to understand why the code is going a certain way or where it is going.


Changing the order of program execution instructions, changing the control graph by introducing arbitrary jump instructions. 

And converting conditional tree constructions to flat switch instructions can all be used to scramble the flow of control in programming, such as shown in the diagram below.


3. Concealment of the handle


Some source code fuzzy security solutions use this technique to change the addresses of program data and code to create unpredictability and make hacking more difficult. 

The blurring technique randomizes the absolute positions of certain codes and data in memory, as well as the relative distances between different data elements when building an application.


This not only reduces the chances of successful attacks but also implies that even if a hacker succeeds on one application or device.

They will not be able to recreate it on others, which limits the value of reverse program development.


4. Regular renewal of the fuzzy code


By regularly distributing veiled software updates, this strategy proactively blocks attacks and discourages hackers from attempting to break into the system. 

An attacker is forced to abandon his existing analysis by periodically replacing existing software with more recent disguised instances. 

Finally, the effort required to break through the fuzzy security outweighs the benefit obtained.


5. Clear metadata and message calls in Objective-C


Objective-C code blurring technologies, such as Intertrust's application protection solution, work in two ways. 

For starters, regular text message callers are hidden in the source code, making them difficult to read and modify.


Second, they encrypt certain Objective-C metadata to protect sensitive information from static analysis tools. 

Such as category names, classes, methods, protocols, class properties, and instance variables, as well as arguments and method types. 

After the fuzzy program is loaded, the encrypted data is only decrypted during execution.


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