Security Scan Report: www.fgl.cc

Redirected to: https://www.fgl.cc/index/index/home

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Submitted: Jan 31, 2026, 9:45:27 AMCompleted: Jan 31, 2026, 9:46:38 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 5 domains to perform 31 HTTP transactions. The main domain is fgl.cc and was registered NaN years ago.

Submitted URL: https://www.fgl.cc

Effective URL: https://www.fgl.cc/index/index/homeRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well-established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Standard hosting environment
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

news media journalism

(32%)

Domain Information

The domain name 'www.fgl.cc' uses the .cc country-code top-level domain with subdomain 'www'. Count 3 characters in 'fgl' holding 0 vowels versus three consonants. Tokenizing the label suggests two words: f, gl. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.fgl.cc

Page Load Overview

2.30s
Total Load Time
37
HTTP Requests
7
Domains
58 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:75 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism32% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
32%
education learning
27%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.97.3United States
AS13335Cloudflare, Inc.
9104.18.23.242United States
AS13335Cloudflare, Inc.
918.245.31.61United States
AS16509Amazon.com, Inc.
9108.138.7.56United StatesUnknown
374--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E52E611A99715125033A0E4A9F7D71D71A6851BC309CC28BFAC12E8EFC6FAE4573B8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:lAC9IBQZUQnL6iQnL62ZtYvjjmMNF4LwJP24obPwqSixF6KAmEEvkxlNoguu05sa:qC9IBQZl7NFQrDHMxl6gufj5muL9h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13636:p4BaFhbdmQECXQIgNEFoMISFCRFZJCIAKSRQk4AAgYgAiDIIBukYPY4QOGAtQiepEDAYLAKJpUKAuSgo3mcDDLAEQGCA0GAk

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:03031b0119193d3d
Perceptual Hash:88238b66739b7ccc
Difference Hash:fff7b3d7b3b37171
Wavelet Hash:071b1b1b1b193d3d
Color Hash:#9487c5

Scan History

Scan history not available

Unable to load historical scan data