Targeted Reconnaissance.
Powered by MaxiCyber.
Deploy deep perimeter telemetry evaluation. Unauthenticated external asset discovery cross-referenced against live Zero-Day telemetry sourced autonomously from the global MaxiCyber deception mesh.
- Subdomains: 142 mapped
- Endpoints: 39 active ASNs
OSINT & DNS
DNS records & breach exposure mapping
Subdomains
Shadow IT & forgotten env discovery
Port Recon
Full 65535-port TCP/UDP sweep
Tech Stack
CMS, WAF & SSL fingerprinting
Vulnerability
XSS, SQLi & path traversal vectors
Exploits
Live NVD & Exploit-DB correlation
AI Synthesis
LLM false-positive reduction engine
Live Intel
MaxiCyber deception mesh telemetry
The Assessment Methodology
Our vulnerability scan executes silently across your external boundary, leveraging the same reconnaissance methodologies actively used by APT groups, without requiring agent deployment or internal network access.
1. Asset Discovery
Comprehensive mapping of the external footprint. We systematically discover subdomains, exposed services, unlinked infrastructure, and forgotten dev environments that pose structural risk.
2. DNS Exposure
Identification of DNS infrastructure misconfigurations and shadow IT endpoints. Validates C2 vulnerabilities, dangling records, and potential phishing gateway risks natively at the DNS layer.
3. MaxiCyber Correlation
Every exposed port and application fingerprint is cross-referenced in real-time against our Cognitive and Adaptive Threat Intelligence Service, identifying vectors that are actively being targeted in the wild.
4. C-Suite Reporting
The telemetry is aggregated into a comprehensive, board-level PDF assessment prioritizing issues by live-threat context rather than generic CVSS scoring.
Predictive Scoring
Traditional vulnerability scanners apply static CVSS scores to missing patches. Our assessment pipeline intercepts the identical Ja4/Ja4T payload signatures currently triggering alarms across the MaxiCyber global Deception Mesh. If your perimeter exposes a service that is actively under attack globally today, it gets escalated to critical immediately.
Deep Scanning Architecture
The scanning engine does not simply read banner headers. It actively hunts traversing the entire public-facing footprint of the organization, correlating missing patches against real-world CATIS intelligence.
Attack Surface Mapping
Subdomain Enumeration: Active recursive and passive discovery mapping 100% of attached subdomains.
IP Identification: Exact mapping of authoritative IP clusters to internal ASN registries.
Infrastructure Interrogation
Full Port Profiling: Unrelenting raw-socket sweeps across all 65,535 TCP/UDP ports seeking improperly exposed services.
SSL/TLS Detection: Validates certificate expiration chains, cipher strength, and downgrade attack resilience natively across the mapped IP spectrum.
Tech Stack & CVE Profiling
Technology Fingerprinting: Deep analysis of headers, DOM, and payloads resolving exact framework layers (e.g. Apache, PHP, React).
Full CVE Mapping: Directly matches the detected tech-stack versioning against massive global vulnerability databases mapped to known CVEs.
AI-Driven Triage & Prediction
Legacy scanners dump thousands of unverified alerts onto security teams. MaxiCyber actively deploys Machine Learning models to autonomously filter false positives, map blast radiuses, and predict zero-day vectors before they are published.
Neural Exploit Prediction
Instead of simply looking up published CVE lists, the AI actively analyzes the behavioral architecture of your tech stack. It maps unpatched software traits against known malicious mesh heuristics, predicting exploit vectors before a formal CVE is even cut.
Blast-Radius Modeling
Upon discovering an exposed asset, the ML engine instantly calculates the active internal blast radius. If a vulnerable proxy server can pivot to a sensitive database, the alert is automatically escalated past standard CVSS scores into critical status.
Autonomous Remediation
The platform does not just report. The AI engine synthesizes strict WAF filtering scripts, regex blocks, and exact firewall configuration lines that your team can copy-paste to instantly mitigate the exposure while developers work on the patch.
The Level 4 Deliverable
This is what you receive. We do not dump generic JSON blobs. The MaxiCyber telemetry pipeline compiles into an exhaustive, boardroom-grade 15-phase assessment covering everything from passive DNS leaks to active zero-day exploit logic.
Vulnerability Reconnaissance Assessment
1. Executive Summary
CRITICAL
HIGH
MEDIUM
2. Target Information
3. Methodology
Phase 5: Port & Service Scanning — Nmap (top-1000 ports, -sT -sV -sC) executed continuously against discovered ASNs.
Phase 12: AI-Assisted Analysis — MaxiAI agent swarm deployed for mass findings synthesis, stripping 142 false positives.
4. Asset Inventory Dashboard
| Subdomain | IP Address | Status | Worst Finding |
|---|---|---|---|
| api.example.com | 196.21.xx.xx | 200 OK | HIGH |
| dev.example.com | 196.23.xx.xx | 403 Forbidden | CRITICAL |
5. Detailed Findings (Host Grouping)
// Returned directly in HTTP 200 response without sanitation.
6. Subdomain Inventory
staging.example.comold-portal.example.com
7. Port & Service Summary
8. WAF Detection
9. Security Headers Analysis
10. SSL/TLS Assessment
Issuer: Let's Encrypt Authority X3
Server supports highly deprecated ciphers (TLS 1.0/1.1 enabled natively).
11. CVE Correlation Database
| Detected Stack | Correlated CVE | Exploit Availability |
|---|---|---|
| Apache 2.4.49 | CVE-2021-41773 | Exploit-DB Entry #50383 confirmed. |
12. Technology Stack Assessment
13. OSINT & DNS Intelligence
14. Prioritized Remediation Roadmap
15. Appendix
Scan your perimeter against active intelligence.
Request an automated vulnerability assessment powered by CATIS. We evaluate your external domain footprint against live Zero-Day indicators and actor profiles actively collected from our global deception mesh over the last 24 hours.
- Unauthenticated external asset discovery
- DNS infrastructure misconfiguration check
- Known-vulnerability cross-reference via CATIS
- Comprehensive board-level PDF report