External Threat Telemetry

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.

Target Infrastructure

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.

Live Correlation Engine

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.

LIVE
[MaxiCyber-ENGINE] Intercept MATCH: cve-2023-4523 :: severity CRITICAL
Checking exposed port 443 via AS912...
[MaxiCyber-ENGINE] Payload signature active in 14 geo-locations
Resolving DNS chains...
[WARNING] Exposed shadow IT endpoint detected on dev-staging.client
[MaxiCyber-ENGINE] Asset mapped to known active exploitation mesh
Cross-referencing JA4T signatures...
[MaxiCyber-ENGINE] Scan vector processed.

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.

PortServiceSSL
443HTTPSValid
8443HTTPS-ALTValid
3306MYSQLEXPIRED

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.

Nginx 1.18.0
CVE-2021-23017 HIGH
Autonomous Neural Core

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.

01

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.

02

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.

03

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.

MaxiCyber Final Output

Vulnerability Reconnaissance Assessment

Strict Confidential
Target: example.com

1. Executive Summary

HIGH
Overall Risk Rating
7.5/10
Risk Score
2
CRITICAL
5
HIGH
12
MEDIUM
Key Findings Overview: Extreme edge boundary exposure detected. Findings include SQL Injection vectors active on primary login endpoints, and unauthenticated Path Traversal vulnerabilities located within the /api/v1/download structure mapping. Immediate roadmap execution mandatory.

2. Target Information

Primary Domain
example.com
Web Server
nginx 1.18.0
CMS Footprint
WordPress 6.1.1
Hosting
Cloudflare, Inc.

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

SubdomainIP AddressStatusWorst Finding
api.example.com196.21.xx.xx200 OKHIGH
dev.example.com196.23.xx.xx403 ForbiddenCRITICAL

5. Detailed Findings (Host Grouping)

Cross-Site Scripting (XSS) via search parameterHigh
Host Array
dev.example.com
Evidence
GET /search?q=<script>alert(1)</script>
// Returned directly in HTTP 200 response without sanitation.
Remediation
Implement context-aware output encoding. Do not rely entirely on the Cloudflare WAF block-string regex.

6. Subdomain Inventory

Discovery via active bruteforcing and OSINT APIs isolated 142 discrete targets. Flagged shadow IT vectors:
staging.example.comold-portal.example.com

7. Port & Service Summary

196.21.xx.xx
Port 22: OpenSSH 8.2p1Port 3306: MySQL 5.7.31

8. WAF Detection

Cloudflare WAF strictly detected actively dropping malignant XSS payloads across primary `www.example.com` ingress. Subdomains lacking coverage.

9. Security Headers Analysis

Missing Strict-Transport-Security header across dev clusters.
Total absence of Content-Security-Policy rendering framework vulnerable to DOM-based exploitation.

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 StackCorrelated CVEExploit Availability
Apache 2.4.49CVE-2021-41773Exploit-DB Entry #50383 confirmed.

12. Technology Stack Assessment

PHP 7.4 (End of Life)jQuery 1.12.4Bootstrap

13. OSINT & DNS Intelligence

DNS Anomaly: No DMARC or hard-failed SPF records found, permitting spoofing of example.com outbound addresses.
Exposed Credentials: admin@example.com discovered actively circulating in 3 unencrypted pastebin breaches.

14. Prioritized Remediation Roadmap

0-7 Days
Patch Apache webserver universally to v2.4.51 to mitigate active unauthenticated Path Traversal telemetry immediately.
14-30 Days
Upgrade internal legacy clusters from deprecated PHP 7.4 to PHP 8.1 minimum standard tracking.
90+ Days
Enforce strict Content-Security-Policy across all public portals.

15. Appendix

This document contains strictly auxiliary mappings. All results inherently represent a point-in-time assessment. Target footprints may independently mutate.
Platform Telemetry Access

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

Assessment Configuration

https://