CYBERSECURITY AND PENTESTING
Infrastructure, network and cloud pentesting
We audit your servers, networks, and cloud environments (Azure, AWS) by simulating internal and external attacks to uncover weaknesses and unauthorized paths.
What is Infrastructure, network and cloud pentesting?
Attackers aren't just going after your applications: they look for exposed servers, misconfigured services, unsegmented networks, or weak credentials to get in and around your infrastructure. Infrastructure pentesting discovers those doors before they do.
We perform external (from the internet) and internal (simulating an attacker already inside the network) penetration tests on servers, networks, services, Active Directory and cloud environments in Azure and AWS. We look for exposed services, insecure configurations, unpatched vulnerabilities, weak credentials, and possibilities for privilege escalation and lateral movement.
The result is a clear map of your actual exposure, with the attack routes encountered, their impact, and a prioritized remediation plan to reduce your attack surface.
FEATURES
Features of Infrastructure, network and cloud pentesting
Recognition and enumeration
Discovery of assets, exposed services, versions, and configurations visible from the attacker's perspective.
External perimeter analysis
Tests on published services to the internet: ports, VPNs, remote access, DNS, mail and firewalls.
Internal Network Testing
Segmentation scanning, insecure protocols, internal services, Active Directory, and lateral movement.
Active Directory Assessment
Analysis of GPOs, delegations, Kerberos, NTLM, password policies, and privilege escalation paths.
Cloud Audit (Azure / AWS)
Review of IAM, public storage, virtual networks, security groups, logging and default configurations.
Network Segmentation Testing
We verify that internal VLANs, subnets, and firewalls prevent unauthorized cross-access between zones.
Privilege escalation
Controlled attempts to elevate permissions from basic access to domain administrator or root.
Re-test verification
Post-remediation validation to confirm that each finding has been closed successfully.
TECHNOLOGIES
- Microsoft Azure
- Kali Linux
- Metasploit
- Nmap
- Wireshark
- Nessus
FREQUENTLY ASKED QUESTIONS
Frequently asked questions about Infrastructure, network and cloud pentesting
Web and API pentesting
Penetration test on web applications and APIs (REST, GraphQL, SOAP) following OWASP Top 10, with executive report, technical evidence and accompaniment in remediation.
Learn more →Mobile application pentesting
Penetration test on iOS and Android apps: local storage, communications, authentication, business logic and backend APIs, with OWASP Mobile methodology.
Learn more →Vulnerability auditing and ethical hacking
We identify and prioritize vulnerabilities in your applications, networks, and infrastructure by combining automated tools with expert manual analysis and controlled ethical hacking.
Learn more →Secure Code Auditing and DevSecOps
Source code security review with SAST, DAST, and manual analysis; security integration into your CI/CD pipeline to detect failures before they reach production.
Learn more →Hardening and system hardening
We reinforce the configuration of servers, databases, workstations and cloud environments by applying CIS benchmarks, GPOs and good bastioning practices.
Learn more →Compliance: ENS, ISO 27001 and GDPR
Technical support in regulatory compliance: gap analysis, implementation of controls, generation of evidence and preparation for ENS, ISO 27001, GDPR, NIS2 and DORA audits.
Learn more →Incident Response and Forensics
Detection, containment, eradication and recovery from security incidents. Digital forensics to determine the scope, root cause, and evidence of the attack.
Learn more →Awareness and simulated phishing
Cybersecurity awareness programs and simulated phishing campaigns to measure and improve your team's resilience to social engineering.
Learn more →Security of AI applications and systems
Auditing and protection of applications with integrated AI: prompt injection, security of LLM models, data poisoning, RAG data access controls and compliance with the European AI Act.
Learn more →