Pentest assessments

We deliver scoped web application pentesting with documented methodology, severity-rated findings, and remediation guidance aligned to your compliance requirements.

We assess APIs by the process of identifying security weaknesses in an API by simulating attacks. The goal is to check for common vulnerabilities such as authentication problems, payment bypass, authorization flaws, data leaks, or misconfigurations, so developers can fix them and keep data safe.

This project focuses on security assessment methodologies and tools for mobile applications. It covers security assessment techniques for both Android and iOS platforms.

Thick client security assessment is basically testing desktop or rich applications like Windows or Java/.net apps to see if there are any security holes. It's not just about the server, we also look at how the app stores data on the computer, how it talks to the server, and whether someone could tamper with it or reverse-engineer.

A secure code review is a line-by-line analysis of the source code of an application, usually performed to find any security risks overlooked during the pre or post-development phase. A secure code review aims to analyze an application's source code and determine whether it has any security vulnerabilities or flaws.

Unlike traditional infrastructure testing, the biggest risks in cloud are usually

DevSecOps is an extension of the DevOps methodology that integrates security practices into the DevOps process. The goal of DevSecOps is to ensure that security is a fundamental aspect of the development lifecycle, from design through deployment and maintenance. This approach emphasizes the need to incorporate security measures throughout the development process, rather than treating security as…

We deliver scoped network pentesting with documented methodology, severity-rated findings, and remediation guidance aligned to your compliance requirements.

Wi-Fi security assessment evaluates the security of wireless networks and their clients to determine whether an attacker within radio range can gain unauthorized access, intercept traffic, or pivot into the internal network. The goal is to validate encryption, authentication, segmentation, and physical signal exposure.

Firewall security assessment is the process of assessing firewall configurations, rules, and security controls to verify that network traffic is properly filtered and access restrictions are enforced as intended. The objective is to identify misconfigurations, rule weaknesses, segmentation issues, and potential bypass techniques that could allow unauthorized access to protected resources.

Domain Controllers are servers that implement AD services, handling user authentication and managing directory data.

Infrastructure security assessment focuses on identifying security weaknesses within enterprise network environments, servers, network devices, security controls, and supporting infrastructure. The objective is to assess the effectiveness of security controls, identify attack paths, and evaluate the potential impact of unauthorized access to critical systems.

Our MCP security assessments (Model Context Protocol security assessment) is the process of testing an AI system that uses external tools (like databases, APIs, files, or web services) to find security weaknesses. It checks whether the AI can be tricked or misused when it interacts with these tools, especially through bad inputs, malicious instructions, or improper permissions.

Our LLM security assessments (Large Language Model security assessment) is the process of testing an AI language model to find weaknesses in its behavior, safety, and reliability.

Before understanding Threat Modeling, it is important to understand where it fits in the Software Development Life Cycle (SDLC) and what happens before security testing begins.

A configuration review is a methodical process in security assessment where the tester examines system, application, network, and infrastructure settings to identify security misconfigurations that could lead to vulnerabilities. It is one of the most overlooked but critical components in any security assessment.

Container and Kubernetes assessment evaluates how images, containers, and the orchestrator are built and configured. Containers share the host kernel rather than fully virtualizing it, so the central question is whether an attacker can break out of a container or move laterally across the cluster.

A continuous security assessment solution consists of several key components. Vulnerability Scanner that automatically scans your code for vulnerabilities. Continuous monitoring system for tracking new assets and environmental changes. Integration with CI/CD tooling to start a new scan whenever there is a code update

IoT and Embedded Device Security involves assessing the security of connected devices, embedded systems, firmware, and hardware components to identify vulnerabilities that could lead to unauthorized access, data exposure, or device compromise. The assessment includes firmware extraction and analysis, reverse engineering, secure boot validation, hardware interface testing (UART, JTAG, SWD), flash…

Blockchain security assessment assesses the security of distributed ledger systems and their surrounding components: smart contracts, nodes, consensus, wallets, key management, and the APIs and dApps that interact with them. The goal is to find flaws that let an attacker steal funds, manipulate state, disrupt consensus, or compromise keys, since on-chain actions are typically irreversible.

A phishing assessment is an authorized social engineering exercise that measures how susceptible an organization's people and email controls are to deceptive messages designed to steal credentials, deliver payloads, or trigger risky actions. The goal is to quantify human risk and validate technical defenses (email filtering, MFA, awareness), not to harm staff.

OSINT (Open Source Intelligence) is the practice of collecting and analyzing publicly available information about a target (organization, domain, person, or asset) without touching the target directly. The goal is to map the attack surface and human footprint that an adversary could exploit, before any active testing begins.

Digital forensics (DFIR) is the disciplined collection, preservation, and analysis of digital evidence from systems, storage, mobile devices, and networks to reconstruct what happened during an incident or investigation. The goal is to produce accurate, defensible findings that hold up technically and, where needed, legally.