Security Scan Report: dextuma.net

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 1 domain to perform 6 HTTP transactions. The main domain is dextuma.net and was registered 3 months ago.

Submitted URL: https://dextuma.net/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Page matches an analyst-vetted 'AI trading platform' lead-funnel kit (CRITICAL YARA AiTrading_LeadFunnel_SmsVerify) used to collect sign-ups and SMS-verify phone numbers for call-centre fraud; treats as investment scam despite no on-page form.

Risk Factors (6)
Known malicious investment-scam kit identified by analyst-vetted roster (lead-funnel / SMS verification for call-centre fraud)
CRITICAL YARA rule AiTrading_LeadFunnel_SmsVerify matched in page HTML
HIGH-severity IDS alert (Spamhaus DROP listed traffic)
Vague, buzzword-heavy marketing text with fabricated-sounding operational statistics and no verifiable corporate identity or financial authorisation
Domain only 118 days old, unranked in Cisco Umbrella, with low legitimacy score (8/100)
Obfuscated inline JavaScript (encoding/decoding functions) and links to unrelated suspicious .cfd/.pro domains
Domain age information unavailable

Details

Page Title

Inteligencia Predictiva & Sinergia Global | Dextuma

Scan Type

public

Domain Name Analysis

Within the network infrastructure generic top-level domain (.net), 'dextuma.net' is registered with no subdomain. The second-level label 'dextuma' is 7 characters long with 3 vowels and 4 consonants. It segments into 2 words: dex, tuma. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dextuma.net/

Page Load Overview

1.35s
Total Load Time
39 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:4,195 chars
Detector Agreement:75%

Website Classification

Primary Category

adult content36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
36%
corporate
35%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2158.94.210.119Amsterdam, North Holland, Netherlands
AS202412Omegatech LTD
1104.21.18.4Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.21.95.214Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
65--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14893191625A300256563A0EAB3EB3719BA6DD103D849C8287BFE0755CFCBF99B52374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LCDVFQhzRkjnQIaQxFjIIM1IDFYpTVwlDSgpVYa23p7rI+iT3uQ/KUrFq9LhN3RJ:wPn3achIIMuRYxylDSIed0/K8y7r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89928:IAQggCDElxb2BAgiFI/CGIIZNRMAgIDKDJIQ6iKEhDGQiKFACQIbgXGEgeEQJpjBkA6A4RBoNkxYQABBxC9lbAkQRQAegSEE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:007c7c3c3f1f1800
Perceptual Hash:88d377255b8c333c
Difference Hash:d1e0f0f0f1f1f17d
Wavelet Hash:007c7c7f3f3f1900
Color Hash:#931f31

Scan History

Scan history not available

Unable to load historical scan data