APP-RAY MOBILE SECURITY – OVERVIEW
App-Ray is a powerful security analysis tool designed to automatically scan applications in order to detect vulnerability to hacking, data leaks, malicious code and other weaknesses. Both internally developed and external applications (used in BYOD) can be analyzed, allowing organizations to protect their employees and IT assets from external threats.
App-Ray’s fast and accurate scans enable organizations to analyze each and every new versions of all applications that they distribute to their customers. Modules developed by subcontractors and 3rd party libraries can also be scanned to detect any potential security issues that could affect their customers. By scanning all new revisions, App-Ray lets you detect possible regressions in a timely manner, which also saves development costs and resources.
Its fully automated scan process means that App-Ray can be used to aid the application vetting of internal and public app stores. It provides a comprehensive yet simple overview over all scanned applications that could be used to integrate with existing solutions. It does not require any deep and costly expertise to conduct scans and interpret their results.
✔ ANALYZE ANY APPS
All kinds of apps can be analyzed, source code is not required
✔ FAST AND ACCURATE RESULTS
Multiple in-depth analysis on latest mobile security vulnerabilities
✔ EASY TO USE, EASY TO SCALE
No deep expertise required, App-Ray can be scaled up to x000 scans/year
✔ CLOUD & ON-PREMISES SUPPORTED
App-Ray is available via cloud or can be installed on your premise
HOW IT WORKS
App-Ray combines bleeding-edge analysis static and dynamic analysis techniques developed by Fraunhofer AISEC research. It operates on Android bytecode and does not require the source code of an application. Users can choose whether they want to manually interact with the application in the test environment or whether the analysis should run fully automatically an unassisted.
In a first preparatory step, an app’s meta data is assessed, revealing information about the application’s permissions, components, and structure. Information gathered in this step sets the scope for the following static analysis.
Static analysis investigates the bytecode and structure of an application withouth executing it. App-Ray features a highly efficient bidirectional data flow tracing, revealing unwanted data flows which can impose violations of security and privacy requirements. Threats to data integrity and secrecy such as SQL injections or unprotected Intents will be identified in this step.
Plain Dynamic Analysis
During plain dynamic analysis, the original app is executed in a test environment and its behavior is analyzed. Screenshots are taken, network traffic is recorded, and a full trace of syscalls and accessed files is created. Private information sent out to advertisement and user profiling platforms is identified. Users can choose whether they wish to interact with the app or whether the analysis runs fully automatically.
Instrumentation makes slight modification to the app in order to extract specific information from it in a hybrid static/dynamic analysis. Guided by potential findings from the static analysis step, specific versions of the app are crafted which automatically jump to relevant parts and provide meaningful information when executed.
Guided by knowledge gained from static analysis and modifications injected by instrumentation, App-Ray’s hybrid analysis engine investigates the app’s runtime behavior under specific security-relevant conditions and ensures that critical parts of the app are executed and observed. Tracing of individual function calls and register values allow deep insights into the app’s behavior. The hybrid engine attempts to provoke execution of vulnerable code fragments and records encrypted traffic in plaintext, allowing inspection for private information.
App-Ray presents its most relevant findings in a clearly structured overview. A drill-down into detailed analysis results and raw data of the analysis is possible. All analysis results are stored in App-Ray and can be retrieved at a later time. In addition, a signed report document can be downloaded.
Fully automated scans
No manual interaction is required
Highlighting all issues found
API for integration
Automatic and batch mode processing
Multiple different analysis techniques
Static code analysis
Coding problems (e.g. SQL injections, deprecated API usage)
Encryption related issues (SSL/TLS problems)
Capability & data leaks
Dynamic, behavior-based analysis
Unmodified & instrumented testing in emulator
Disassembling & analyzing obfuscated apps
Code decompile (SMALI)
Drilling down into detected issues
Highlight SMALI source for further analytics
App-Ray White Paper
To view our White Paper, please visit Downloads page.Go to downloads
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