Security Scan Report: gcash3.7rs6.xyz

Redirected to: https://gcash3.7rs6.xyz/?anniversary-giveaway=12#1768202746974

Submitted: Jan 12, 2026, 7:25:36 AMCompleted: Jan 12, 2026, 7:27:00 AMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 8 domains to perform 23 HTTP transactions. The main domain is gcash3.7rs6.xyz and was registered NaN years ago.

Submitted URL: https://gcash3.7rs6.xyz/?anniversary-giveaway=12

Effective URL: https://gcash3.7rs6.xyz/?anniversary-giveaway=12#1768202746974Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing scam: GCash giveaway on a new unranked domain with circular redirect.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Circular redirect indicating URL manipulation
Domain age < 90 days with promotional giveaway lure
Unranked domain suggests low reputation
Use of a suspicious subdomain (gcash3.7rs6.xyz) to mimic GCash
Domain age information unavailable

Details

Page Title

GCash ₱2000 Anniversary Grand Giveaway for All Users

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

social media network

(65%)

Domain Information

Within the open generic top-level domain (.xyz), 'gcash3.7rs6.xyz' is registered; it also runs on subdomain 'gcash3'. Its registrable label '7rs6' stretches across 4 characters with zero vowels and two consonants, along with two digits. Segmentation suggests three words: 7, rs, 6. Average segment length settles at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gcash3.7rs6.xyz/?anniversary-giveaway=12

Page Load Overview

7.66s
Total Load Time
23
HTTP Requests
8
Domains
369 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:1,884 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
65%
cryptocurrency blockchain
61%
finance banking
55%
government public service
50%
technology software
47%

Detected Features

Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.250.184.202United States
AS15169GOOGLE
2151.101.2.137United States
AS54113FASTLY
2104.16.175.226United States
AS13335CLOUDFLARENET
2188.114.96.3United States
AS13335CLOUDFLARENET
2142.250.186.163United States
AS15169GOOGLE
2104.21.96.156United States
AS13335CLOUDFLARENET
2104.21.10.63United States
AS13335CLOUDFLARENET
2188.114.97.3United States
AS13335CLOUDFLARENET
2172.67.144.182United States
AS13335CLOUDFLARENET
239--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19703848EB6F3041E512390A6EFBF1B09A6B58D07E30BCD143E9C42C48F89955A5A276C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:46rGFuAPjbcPc/njFSFhFpFAFNPdKBV0RFHitJTc4A+h7dYnVZqvw9qiBR+4ld4Y:vrGFuAPjbcPc/njFSrXezPdKB6RpitJM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40458:yrReGAQIBcgBBUUBMSGWWFc0yABQpg8gCIJahLPEIzRSeMADAYiSAEAEhQejeQBIQVoYFAAAQxBonzMInAoAA4iMCjJqJqDu

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:0f77376367676060
Perceptual Hash:818f3fb1393e381c
Difference Hash:fecfefcfcdcecfcf
Wavelet Hash:0f77276367676060
Color Hash:#2d7686

Scan History

Scan history not available

Unable to load historical scan data