Security Scan Report: wlt-wallets-validate.com

Submitted: Dec 15, 2025, 1:51:22 PMCompleted: Dec 15, 2025, 1:52:00 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 1 HTTP transaction. The main domain is wlt-wallets-validate.com and was registered NaN years ago.

Submitted URL: https://wlt-wallets-validate.com/public/assets/assets/img/apple-touch-icon.html

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing scam impersonating GitHub on a brand‑new, unranked domain.

Risk Factors
Critical domain age (<7 days) with brand impersonation
Unranked domain used to mimic a well‑known brand
Absence of legitimate content – only a 404 page
Potential typo‑squatting of GitHub brand
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

Page not found · GitHub Pages

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

documentation technical

(31%)

Domain Information

Domain 'wlt-wallets-validate.com' uses the commercial generic top-level domain (.com). Count 20 characters in 'wlt-wallets-validate' with 6 vowels and twelve consonants; it also includes 2 hyphens. It segments into 4 words: w, lt, wallets, validate. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wlt-wallets-validate.com/public/assets/assets/img/apple-touch-icon.html

Page Load Overview

1.35s
Total Load Time
1
HTTP Requests
1
Domains
9 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:378 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical31% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1198.23.150.86UnknownUnknown
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T174127DBF5A993305C8134E107DA227A93D75480F99866FBAB5AD0312CF8EE10A1667DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:FJwnb1iC9OA9XXMa91bOnp9JJUrALQDUnulGVopLA2iALQD6vnglET31iCLL3z:FuB8aqW3DUulGmm/3D6vglETliCfj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9458:NIJGBEwRGCURCgjPKtKhkGhYAQKcDCs3AxKg1BwiUsAoDMAA0IExMEQwAUAMhaIhUMYIAQAopggEDEiYE2FKIpUAvnSkA0HN

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:e7e7c3e7ffffffff
Perceptual Hash:e626339b9bc66624
Difference Hash:080c0c0800000000
Wavelet Hash:04000000f0f0f0f0
Color Hash:#4d783a

Other Hashes

Crop Resistant:080c0c0800000000

Scan History

Scan history not available

Unable to load historical scan data