Discover security vulnerabilities
before hackers do

Web Application Penetration Testing

We offer professional web application testing using Black Box and Gray Box methods. Our approach enables a comprehensive security assessment of applications, both from the perspective of an external attacker and a partially informed internal user. Tests are conducted in accordance with the Penetration Testing Execution Standard (PTES) methodology.

The result of the tests is a detailed electronic report that includes:

• Description of discovered security vulnerabilities
• Evidence confirming their existence
• Guidance on remediating identified issues
• Analysis of potential consequences of exploiting discovered vulnerabilities

During testing, we use a methodology based on best practices described in the OWASP Testing Guide, as well as OWASP TOP 10, OWASP Web Security Testing Guide, and ASVS methodologies.

API Penetration Testing

We perform API penetration testing using Black-Box and Gray-Box models, focusing on the security of communication between system components, data integrity, and proper implementation of authentication and authorization mechanisms.

We apply PTES methodology and best practices from OWASP API Security Top 10, OWASP ASVS, and Web Security Testing Guide. Upon completion of testing, you will receive a comprehensive technical and business report containing:

• Description of all discovered vulnerabilities
• Evidence confirming their occurrence (requests, responses, screenshots)
• Analysis of impact on data confidentiality, integrity, and availability
• Technical and organizational recommendations to enhance API security
• Remediation action priorities based on business impact

Mobile application penetration testing involves controlled, ethical attack simulations on applications installed on Android and iOS devices, aimed at discovering real security vulnerabilities before cybercriminals do.

iOS Penetration Testing

We perform iOS application penetration testing using Black Box, Gray Box, and White Box models. We analyze data storage methods on the device, API server communication security, certificate integrity, and protection mechanisms against application modification or reverse engineering (tampering). We also test application resistance to jailbreak detection bypass, unauthorized access to Keychain keys, and incorrect implementations of cryptographic mechanisms.

Android Penetration Testing

We conduct Android mobile application testing using Black Box, Gray Box, and White Box models, focusing on code security analysis, environment configuration, and application resistance to attacks in real-world scenarios. We examine, among others: data storage security in device memory, API server communication, protection against decompilation and APK file modification, correct cert pinning implementation, and resistance to hooking techniques (e.g., Frida, Xposed).

We conduct tests in accordance with recognized standards:

• OWASP Top 10 Mobile Risks
• OWASP Mobile Application Security Testing Guide (MASTG)
• OWASP Mobile Application Security Verification Standard (MASVS)

Our tests include both manual and automated verification of various vulnerability classes in desktop applications. Applications undergo both static and dynamic analysis.

Testing Methods

• Fuzzing and dynamic testing
• Network component and API analysis
• Injections
• Cryptography security verification
• Testing components stored on the operating system
• Analysis of logs and data stored by the application
• Process and memory monitoring
• Registry key review
• Reverse engineering and static analysis

Analyzed Areas

• Application architecture
• Data storage and cryptography usage
• Authentication and session management mechanisms
• Application network communication
• Application interaction with the operating system
• Protections against reverse engineering

During infrastructure tests, we conduct comprehensive analyses of all devices in the subnet to identify vulnerabilities and configuration errors that could enable taking control of tested hosts. One of the goals of these tests is to determine the visibility of hosts and services that could be targeted by attackers both physically present on the network and attacking remotely.

Infrastructure tests aim to verify the security of services and systems accessible to both Internet (external) and LAN (internal) network users. We apply an approach based on industry best practices such as OSSTMM and PTES.

Steps Performed During Testing

• Attempts to exploit identified vulnerabilities
• Identification of exposed TCP and UDP services
• Identification of weaknesses in discovered services
• Verification of identified vulnerabilities

Cloud penetration testing involves detailed analysis of configurations, security policies, and access rules, using specialized tools and techniques to identify weaknesses in cloud infrastructure.

VIPentest applies individually tailored testing methodologies to effectively analyze and secure cloud environments, taking into account their unique architecture and threat models. Our cloud environment penetration tests cover Azure, AWS, and GCP platforms, providing a comprehensive security assessment of your cloud infrastructure.

During our wireless network penetration tests, we determine security types (Open, WEP, WPA, WPA2, WPA3 Personal or Enterprise) and authentication mechanisms used by your organization.

Attack Techniques Used

• Encryption attacks — including dictionary and brute force attacks, exploiting WEP weaknesses, improper WPA2 configuration, and weak passwords
• Machine-in-the-Middle attacks — including Rogue Access Points and Evil Twins
• Denial of Service (DoS) attacks — disrupting wireless communication, such as flooding

Specialized security testing of applications utilizing artificial intelligence and large language models (LLM). We verify the resilience of AI systems against real attack vectors, including input manipulation, data leaks, and security mechanism bypasses.

Tested Areas

• Prompt Injection (direct & indirect) — injecting malicious instructions into the model
• Jailbreaking — bypassing LLM restrictions and security policies
• Training data leaks (PII leakage) — extracting confidential information from the model
• Output manipulation — forcing incorrect or harmful responses
• RAG Poisoning — attacks on Retrieval-Augmented Generation systems
• Insecure Plugin/Tool Use — abusing tools connected to the LLM
• Model Denial of Service — exhausting resources and blocking availability

We conduct tests in accordance with OWASP Top 10 for LLM Applications and our own methodologies developed based on the latest research in adversarial AI.