Offensive Security

Penetration Testing

Simulated real-world attacks against your network perimeter, internal infrastructure, wireless, and external attack surface to discover exploitable vulnerabilities before attackers do. Combines automated scanning with deep manual analysis. For deep-dive testing on specific layers, see Web Application Security, API Security Testing, Mobile Pentest, or Active Directory Security.

External / Internal NetworksWireless InfrastructureSocial EngineeringExternal Attack SurfaceNetwork Segmentation
Scope-based quote+ taxes
Process
6
phases
AI
4
tools
You get
6
deliverables

How it runs

  1. 01

    Scoping & Rules of Engagement

    We define the target scope, testing windows, out-of-scope assets, and emergency contacts. A formal Rules of Engagement document is signed before any testing begins.

  2. 02

    Reconnaissance

    Passive and active information gathering: OSINT, DNS enumeration, subdomain discovery, service fingerprinting, and employee/technology profiling to map the attack surface.

  3. 03

    Vulnerability Discovery

    Automated scanning combined with manual testing to identify misconfigurations, known CVEs, logic flaws, and custom vulnerabilities not caught by tools alone.

  4. 04

    Exploitation

    Controlled exploitation of confirmed vulnerabilities to demonstrate real-world impact: privilege escalation, lateral movement, and data access, without causing disruption.

  5. 05

    Post-Exploitation & Pivoting

    Assessing what an attacker could do once inside: credential harvesting, internal network pivoting, persistence mechanisms, and data exfiltration simulation.

  6. 06

    Reporting & Debrief

    A detailed report with executive summary, technical findings, CVSS-scored vulnerabilities, proof-of-concept screenshots, and prioritised remediation steps. Followed by a live debrief call.

AI assist

ai-toolkit.sh
AI-Assisted
$ cat tools.list
01
AI-Assisted ReconAccelerate OSINT collection and correlate findings across data sources
02
Vulnerability Pattern MatchingUse ML-based analysis to detect non-obvious vulnerability chains
03
AI Report GenerationProduce clear, structured findings with remediation guidance drafts
04
Attack Path SimulationModel potential attack chains before manual exploitation begins
$ _

What you receive

  • Executive summary report (non-technical)
  • Full technical findings report with CVSS scores
  • Proof-of-concept evidence for each vulnerability
  • Prioritised remediation roadmap
  • Re-test of critical findings after remediation
  • Live debrief call with your team

Ready to scope this engagement?

Every engagement is scoped individually. Get a tailored quote within 24 hours.

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