Security Scan Report: gfg1777.com

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Submitted: Nov 23, 2025, 4:51:56 AMCompleted: Nov 23, 2025, 4:53:56 AMpubliccompleted
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Summary

This website contacted 32 IPs in 4 countries across 9 domains to perform 170 HTTP transactions. The main domain is gfg1777.com.

Submitted URL: https://gfg1777.com/

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Site is likely a fraudulent incentive scam; treat as high risk and do not engage.

Risk Factors
Unranked domain
Potentially newly registered domain
Scam content offering money for sign‑up
Lack of legitimate brand presence
Domain age information unavailable

Details

Page Title

gfg1777 Bem-vindo

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

gambling betting

(87%)

Domain Information

The domain name 'gfg1777.com' uses the commercial generic top-level domain (.com) without a subdomain. The core label 'gfg1777' covers 7 characters holding zero vowels versus 3 consonants, notching four digits. Breaking it apart gives 3 words: gf, g, 1777. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gfg1777.com/

Page Load Overview

0.56s
Total Load Time
170
HTTP Requests
9
Domains
16.9 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt
Text Length:3,204 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting87% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
87%
cryptocurrency blockchain
85%
technology software
66%
entertainment media
63%
finance banking
63%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8113.32.99.28New York, New York, United States
AS16509AMAZON-02
6352.222.236.112United States
AS16509AMAZON-02
1456.125.160.209São Paulo, São Paulo, Brazil
AS16509AMAZON-02
652.222.136.78United States
AS16509AMAZON-02
552.222.236.48United States
AS16509AMAZON-02
552.222.236.2United States
AS16509AMAZON-02
5216.239.34.36United States
AS15169GOOGLE
552.222.136.19United States
AS16509AMAZON-02
513.32.99.23New York, New York, United States
AS16509AMAZON-02
513.32.99.32New York, New York, United States
AS16509AMAZON-02
17032--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156948D3A7A53380F2967CAA4F4B21E193D1AAB2FC1180F7C657D37613E9A9E054353E4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+FUETsfaf8UOURqbF/SxCfNqUN8D8E8q8E89:IqbF/DN8A9X99

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:440549:WWAM4DB8IAQiQBACOFTANxeCdSBBGDQJIEYUBCZFCwAMRCGKLAjVIg8CGAREuBlA6JNbEVRREJBAENDRoQAJRAABljmpgStu

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:4218181018181810
Perceptual Hash:cc33339926339b66
Difference Hash:4c14303434323434
Wavelet Hash:c0d8d8d8d8d8d8d0
Color Hash:#8b79d2

Other Hashes

Crop Resistant:4c14303434323434

Scan History

Scan history not available

Unable to load historical scan data