Our AI strategy for preemptive security
This resource kit collects the guides, tools, and lab setups needed to start security testing iOS and Android applications — from environment setup and traffic interception to platform-specific vulnerability classes. It is designed as a single starting point for researchers moving into mobile targets.
Download the free PDF and start securing mobile apps today
Mobile, smartphone and tablet traffic has eclipsed traffic coming from desktop devices like laptop computers, yet many organizations still treat mobile application security as an afterthought. This gap is exactly why we assembled the Mobile Hacking Resource Kit—a curated PDF packed with the very blogs, videos, courses, and tools our community relies on for iOS and Android pen testing. Grab the guide, bookmark this post, and level up your next bug bounty hunt.
Download: Mobile Hacking Resource Kit (PDF) (2‑minute read, no form fill required)
Researchers can use the Mobile Hacking Resource Kit as a ramp-up path for authorized iOS and Android testing. A practical workflow starts with lab setup, platform basics, traffic interception, and static analysis, then moves into dynamic testing and vulnerability classes that commonly appear in mobile applications. The kit should help readers choose the next learning resource based on their target: Android APK analysis, iOS runtime testing, mobile API behavior, or device/lab preparation.
Pentesters, hackers, and security professionals are increasingly focusing on mobile device and application security and using a variety of powerful tools to identify vulnerabilities. The tools below will help pentesters with vulnerability scanning and effectively evaluating and securing mobile applications on wireless networks:
These tools are a great place to start for pentesters and hackers. Use them for assessment, understanding, and remediation. Each tool has its own set of features and use cases. This allows testers to choose based on their specific needs and target platform.
Pentesters are increasingly incorporating artificial intelligence (AI) and language learning models (LLMs) into their strategies. Not only does this enhance their capabilities, it also allows their methods to move quickly and at low cost. Check these articles out for reference: “A low-cost hacking sidekick” and “Hacking LLM applications.” By leveraging AI, pentesters can automate repetitive tasks, such as vulnerability scanning and threat hunting. This not only speeds up the testing process but also reduces the likelihood of human error. AI pen test tools can also mimic real-world threats by creating sophisticated attack scenarios. LLMs, in particular, are being used to analyze vast amounts of data to detect subtle patterns and anomalies that may indicate security weaknesses.
A newly popular use of AI models is to generate realistic phishing emails. Ethical hackers can use these models to stay ahead of attackers by automating social engineering tactics to evaluate an organization’s defenses against such threats. Moreover, because LLMs can generate text that mimics human writing styles, LLMs can be used by a wide range of malicious actors to create convincing phishing emails or automated responses. This further complicates the detection and prevention of such attacks. The following are ways that hackers can use AI in testing:
However, the use of AI and LLMs in pen testing also introduces potential security loopholes. The primary concern is data privacy and control. By integrating AI systems that require access to sensitive company data, there is an inherent risk that this data could be mishandled or exposed. This can happen when tools interact with the internet and there is a lack of proper data-handling protocols in place.
It’s important to carefully evaluate the security implications of using AI in pen testing. AI is a wonderful tool, advancing methodologies and assessments while keeping costs low. But ensuring robust data governance practices are in place is equally as important.  
How do I start mobile app penetration testing?
Start with platform basics, a legal test target or lab app, traffic interception, static analysis, and dynamic analysis. Work only on applications and devices you own or are authorized to test.
What tools are used for iOS and Android pentesting?
Common mobile testing tools include Burp Suite or Caido for traffic analysis, Frida for runtime instrumentation, JADX for Android reverse engineering, Objection for mobile runtime exploration, and MobSF for static and dynamic analysis.
Do I need a jailbroken or rooted device?
Not always. Many beginner tests can be done with emulators, simulators, or standard devices, but deeper runtime testing may require a jailbroken iOS device or rooted Android device depending on the scope and method.
iOS and Android pen testing is a unique and even complicated area of hacking. A lot of different tools can aid in assessments, but AI is one tool that can’t be skipped. A deep understanding of traditional tools and techniques, alongside a keen awareness of the evolving role of AI and LLMs in hacking, is the best way to stay ahead. By leveraging resources like the Bugcrowd Mobile Hacking Resource Kit and staying informed about the latest advancements in AI-driven security testing, professionals can effectively secure mobile applications and many other assets. Stay informed with Bugcrowd through X, LinkedIn, Instagram, and Discord.