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Security Scan Report: gcash24.c3se.xyz

Redirected to: https://gcash24.c3se.xyz/?anniversary-giveaway=42#1768270719077

Submitted: Jan 13, 2026, 2:18:08 AMCompleted: Jan 13, 2026, 2:19:55 AMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 8 domains to perform 22 HTTP transactions. The main domain is gcash24.c3se.xyz and was registered NaN years ago.

Submitted URL: https://gcash24.c3se.xyz/?anniversary-giveaway=42#1768270518096

Effective URL: https://gcash24.c3se.xyz/?anniversary-giveaway=42#1768270719077Redirected

AI Security Verdict

Confirmed Scam

Confidence: 94%

9
Risk Score

High‑risk phishing site impersonating GCash; do not trust.

Risk Factors
Brand impersonation on unranked, recently registered domain
Circular redirect indicating URL manipulation
Untrusted domain (c3se.xyz) with no reputation
Garbage OCR text suggesting deceptive content
Absence of legitimate contact or verification information
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

(64%)

Domain Information

You're looking at domain 'gcash24.c3se.xyz' on the open generic top-level domain (.xyz); it also runs on subdomain 'gcash24'. Its registrable label 'c3se' stretches across 4 characters holding 1 vowel versus two consonants, plus one digit. Tokenizing the label suggests 3 words: c, 3, se. Median word length comes out to 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gcash24.c3se.xyz/?anniversary-giveaway=42#1768270518096

Page Load Overview

36.00s
Total Load Time
22
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 network64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
64%
cryptocurrency blockchain
61%
finance banking
55%
government public service
48%
technology software
47%

Detected Features

Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.184.128United States
AS13335CLOUDFLARENET
2104.21.10.63United States
AS13335CLOUDFLARENET
2151.101.2.137United States
AS54113FASTLY
2151.101.1.229United States
AS54113FASTLY
2188.114.97.3United States
AS13335CLOUDFLARENET
2188.114.96.3United States
AS13335CLOUDFLARENET
2142.250.185.195United States
AS15169GOOGLE
2142.250.184.202United States
AS15169GOOGLE
228--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17003848EB6F3041E513390A6EFBF1B09B6B18D07E30BCD143E9C42C48F89955A5A276C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:46rGFuAPjbcPc/njFSFhFpFAFNPdKBV0RFHitJTc4A+h7dbnVZqvw9qiBR+4ld4g:vrGFuAPjbcPc/njFSrXezPdKB6RpitJ1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40458:EkVSxQeojAIBk4c3tEVUgA8ECowkjikx0rFhBnEJigXDAQQQlDUiRgIFCVM5WM4jYEYCOgJZ8ASKhI4LUBkFgiSPbikLuAAP

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:#9f40bf

Other Hashes

Crop Resistant:fececd8d9d9edd9d,febce6606cecd4dc,3e3e7d72567c7ffc,1382d1261e0c6cce

Scan History

Scan history not available

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