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Security Scan Report: gj53jgaf.com

Redirected to: https://gj53jgaf.com/#/

Submitted: Jan 13, 2026, 11:59:33 AMCompleted: Jan 13, 2026, 12:01:59 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 63 HTTP transactions. The main domain is gj53jgaf.com and was registered NaN years ago.

Submitted URL: https://gj53jgaf.com/

Effective URL: https://gj53jgaf.com/#/Redirected

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

High‑risk phishing site impersonating a known brand; do not trust or provide any data.

Risk Factors
Brand impersonation / typosquatting
Critical‑age domain (<7 days)
Unranked domain with no reputation
Cryptocurrency‑related content on a brand‑spoofing site
Domain age information unavailable

Details

Page Title

KGBX

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(76%)

Domain Information

The domain name 'gj53jgaf.com' uses the commercial generic top-level domain (.com). The core label 'gj53jgaf' covers 8 characters holding 1 vowel versus five consonants; it also includes two digits. Tokenizing the label suggests four words: gj, 53, jg, af. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gj53jgaf.com/

Page Load Overview

43.84s
Total Load Time
76
HTTP Requests
6
Domains
2.0 MB
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:1,233 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
76%
technology software
42%
finance banking
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16172.67.142.173United States
AS13335CLOUDFLARENET
12172.67.152.215United States
AS13335CLOUDFLARENET
12118.25.42.241Germany
AS24429
123.5.167.215Sydney, New South Wales, Australia
AS16509AMAZON-02
12163.181.58.166Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
123.5.167.39UnknownUnknown
766--

Detected Technologies3

HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EDA47E376246269F7227CC50AB906FC5ED18DA33D0A017F9F654263ACFCBEE00A1575A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:i8qcf+33GtuENtFEI8nAvMEUqn/NXaFaQQd:izcfEIUsv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:450063:kiKC1h8kBaAhEILQFgkLCjRIGKlIVCEBdREAbIopIFihlNGnQODUwAK4FAcGMCFAkIEIEIhtYCRZHRUsAALAAKCBsT0aFLxs

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:ffff000001010101
Perceptual Hash:b69494b65169696b
Difference Hash:8c8c53840d4d4d2d
Wavelet Hash:ffffffc001810181
Color Hash:#2d2dd2

Other Hashes

Crop Resistant:f0e0e0a8f1f1d1e1,8c8c53840d4d4d2d

Scan History

Scan history not available

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