Binary Video Analysis Download
Ellis Ruan
Using this model, advanced binary analysis tools can look deeper to identify known software components and detect security flaw patterns. These discoveries can then be used to compile security and usage reports, along with advice on how to address any issues in the code.
Binary analysis solutions enable organizations to inspect binary code without any involvement from the vendor, to identify open source components, security vulnerabilities, license obligations, and additional sensitive information that could lead to a breach.
Synopsys Black Duck is an automated software composition analysis (SCA) tool that enables organizations to gain visibility into the composition of software, so they can make better buying decisions and manage the ongoing risk of operating complex systems and software, regardless of source code access. Black Duck Binary Analysis identifies open source components in compiled software to provide an open source Bill of Materials and a list of any vulnerabilities and licenses related to those components.
In contrast to plain text files, which store data as characters organized into zero or more lines, binary files store data more efficiently as a sequence of bytes, usually interpreted as something other than textual characters. Executable files are typically referred to as binaries, while, in fact, binary files can have any type of content.
Some binary files contain important metadata that provides information on how to interpret the data in the file. For example, file signatures, also known as magic numbers, that can identify the file format, just like the labels on the products in the grocery store. Executable files contain binary code that cause the computer to perform specific tasks according to the instructions in the code.
The first five bytes 48 65 6c 6c 6f are representing the characters H e l l o in ASCII, a standard data-encoding format that assigns numeric values to characters. Note that the content of the executable binary, shown on the right side of the above screenshot, is not in human-readable form, even though the program prints out the same message. Furthermore, you may also notice the magic number 7F 45 4c 46 in the first four bytes, indicating that this is an ELF binary. However, in the case of a JPG image file, you would see FF D8. See Gary Kessler's continuously updated list of file signatures for more examples.
In general, file formats are data structures that contain the information necessary for other programs to know how to handle the file, including the operating system's loader to manage the executable code wrapped into binary files.
Developers build executable binaries through compilation and linking by converting human-written source code, such as C or C++, into machine code to be executed by the computer. The compiler only produces machine language instructions from the source code and creates one or more object files you cannot run yet. The linker creates an executable binary from the object files, which the operating system's loader can place into memory and prepare for execution.
Executable files begin with a header that includes information about the code, the type of application, required library functions, and space requirements. The ELF (Executable and Linkable Format) format is the common standard binary file format for executable files, object code, shared libraries and core dumps on Linux systems, while the PE (Portable Executable) file format is used by executables, object code and DLLs on Windows systems. Most binary formats share many similarities and a few essential differences. An obvious distinction is the file extension: for example, the filename of PE binaries ends with .exe, while ELF binaries do not have an extension.
Binary analysis is the process of examining the properties of binary files, including their containing instructions and data encoded in binary, to learn more about the file's contents or the program's purpose.
Although reverse engineering is one common application, binary analysis is a significantly broader field than most people realize, as it also involves some basic but important activities and many more advanced concepts like binary instrumentation or dynamic taint analysis that allow you to observe or even alter the program's behavior and track data flows, respectively. There are a lot of tools out there, but two of the most widely known and free-to-use dynamic binary instrumentation tools are Intel's Pin and the open-source DynamoRIO.
We can categorize binary code analysis into two fundamental groups according to when we are performing the analysis and another two important groups based on the level of complexity of the methods we choose to perform the analysis.
Dynamic analysis involves observing the program as it executes in a real, or almost identical environment, if necessary, using full-system or user-mode emulation with QEMU. Dynamic analysis tools instrument the program with analysis code that stores information regarding the execution of the program as metadata.
Note that these approaches are complementary as static analysis is typically only the first step, and further analysis is usually necessary. Static analysis requires less time and can consider all execution paths in a program, whereas dynamic analysis is much more resource intensive and only considers a single execution path. However, dynamic analysis is typically more precise because it works with genuine values. Quite often, combining the advantages of static and dynamic analysis in a hybrid approach is the optimal solution.
You can use binary analysis to examine and document the behavior of executable files for which you do not have the source code, as often is the case for third-party libraries, drivers, and other system components which might be only available as binaries.
Usually, software developers can create drivers for hardware devices based on their thorough documentation, but many third-party manufacturers only provide a binary-only executable, referred to as a binary blob. The precise operation and security quality of binary blobs are unknown, which means that they require users to trust third-party vendors with the security of their system. Due to their nature, malicious software also requires comprehensive malware analysis and reverse engineering. However, binary analysis can also be used for finding issues, including security weaknesses manifesting only at the binary level and for advanced debugging, even if you have source code available.
Source code analysis involves analyzing programs at the level of source code. Binary analysis involves analyzing programs at the level of machine code, stored either as object code in intermediate portions of the final program or executable code in the complete program. It is important to point out that, as is the case with static analysis and dynamic analysis, the two approaches are complementary. Creating a binary is more involved than simply translating source code into machine code. The binary is typically not used as is but is configured extensively for deployment in a production environment, including, but not limited to, using the security hardening capabilities of the compiler, packaging strong cryptographic materials, and disabling debugging capabilities.
You can achieve many seemingly difficult tasks by correctly combining a few simple tools usually installed on most Linux systems by default. Below is a summary of some fundamental tools you can use to begin your binary analysis journey on Linux systems:
There are several reasons why binary code analysis is more cumbersome, in contrast to source code analysis. To note a few examples, binary files typically appear as large blobs, which makes restoring the high-level code structure a complex task. They contain a mixture of easily misinterpreted code and data. They are often stripped of symbols, making it considerably harder to understand the code. Variable types are never explicitly stated, making the purpose and structure of data hard to recognize. Furthermore, any minor modification of the code or data could easily break the binary. Although it is possible to some extent to translate binary code into a human-readable format, we cannot fully recover the source code of the program.
We collected many helpful learning materials related to firmware security and binary analysis in your resource directory for IoT security, including books to read, podcasts to listen to, video channels to watch, and subreddits to follow. Binary analysis is a broad topic with many available resources and countless existing tools, so be prepared for sustained and long-term study. We would recommend starting your firmware security and binary analysis journey with the DVRF project and moving on to more complex CTFs involving some binary exploitation. We also encourage you to try our firmware analysis platform via its Free Plan.
This hands-on guide teaches you how to tackle the fascinating but challenging topics of binary analysis and instrumentation and helps you become proficient in an area typically only mastered by a small group of expert hackers. It will take you from basic concepts to state-of-the-art methods as you dig into topics like code injection, disassembly, dynamic taint analysis, and binary instrumentation. Written for security engineers, hackers, and those with a basic working knowledge of C/C++ and x86-64, Practical Binary Analysis will teach you in-depth how binary programs work and help you acquire the tools and techniques needed to gain more control and insight into binary programs.
Dennis Andriesse has a Ph.D. in system and network security and uses binary analysis daily in his research. He is one of the main contributors to PathArmor, a Control-Flow Integrity system that defends against control-flow hijacking attacks such as ROP. Andriesse was also one of the attack developers involved in the takedown of the GameOver Zeus P2P botnet.
35fe9a5643