Security Scan Report: galkara.icu

Submitted: Mar 26, 2026, 4:40:03 PMCompleted: Mar 26, 2026, 4:41:34 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is galkara.icu and was registered NaN years ago.

Submitted URL: https://galkara.icu/

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Fake Telegram login page on a newly registered unranked domain – confirmed phishing.

Risk Factors
Brand impersonation (Telegram) on unrelated domain
Very new domain (<30 days)
Unranked domain with low reputation
Phishing QR code login prompt
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(39%)

Domain Information

The domain name 'galkara.icu' uses the .icu top-level domain and has no subdomain. Its registrable label 'galkara' stretches across 7 characters containing 3 vowels alongside 4 consonants. Word splitting yields two words: gal, kara. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://galkara.icu/

Page Load Overview

6.64s
Total Load Time
26
HTTP Requests
3
Domains
33 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:244 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network39% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
39%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13188.114.96.3United States
AS13335Cloudflare, Inc.
13149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
262--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F6F15F62F764E83A2357027C35D0F10E87E2A447D791AA50B9E972E50F8FDA780E7215

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujtSoUZZUG70t13OQYEIo95qc75ZhE58h:KtSGsk3OQPIo95RHd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7808:WRCzIRAsHCQAFKhkEUXHAIIiyiQxrCQQ8pEygAxgJEAFoiBEJIGRBYAAQGAEQTEzPADsDoh0oqIgZgEgUDxOACjQyCqKjqEE

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:ffffe7e7e7ffffff
Perceptual Hash:b323cccc3333cccc
Difference Hash:00000c0c08000000
Wavelet Hash:ffe7e7e7243c0000
Color Hash:#b7bf40

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data