Security Scan Report: www.colonialfw.com

Submitted: May 23, 2026, 12:45:18 PMCompleted: May 23, 2026, 12:46:40 PMpubliccompleted
Loading additional data...

Summary

This website contacted 12 IPs in 3 countries across 12 domains to perform 64 HTTP transactions. The main domain is colonialfw.com and was registered NaN years ago.

Submitted URL: https://www.colonialfw.com/charles-schwab-challenge

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows low risk: old domain, no credential collection, but unranked status and eval() usage warrant caution.

Risk Factors
Unranked domain in Cisco Umbrella
Presence of eval() calls in JavaScript
Brand name appears in URL path without official branding
Safety Factors
Long‑standing domain registration (2001)
No forms or credential exfiltration observed
No YARA malware matches
No network IDS alerts
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Charles Schwab Challenge | PGA TOUR at Colonial Country Club

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(49%)

Domain Information

The domain name 'www.colonialfw.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'colonialfw' covers 10 characters holding 4 vowels versus six consonants. Breaking it apart gives two words: colonial, fw. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.colonialfw.com/charles-schwab-challenge

Page Load Overview

14.16s
Total Load Time
8
HTTP Requests
2
Domains
0 KB
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-US
Text Length:666 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
49%
documentation technical
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.19.230.21United States
AS13335Cloudflare, Inc.
0104.17.24.14United States
AS13335Cloudflare, Inc.
0184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0151.101.194.137United States
AS54113Fastly, Inc.
0104.18.10.207United States
AS13335Cloudflare, Inc.
0141.193.201.205Canada
AS22147Open Contributors Corporation for Advanced Internet Development, Inc.
0185.199.109.153United States
AS54113Fastly, Inc.
0104.18.31.202United States
AS13335Cloudflare, Inc.
0104.18.12.205United States
AS13335Cloudflare, Inc.
812--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141130B229B9C2D37012701DD70B6B38CA0AF4D37E959C8E2F6FF42181BC5DCA691B55A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ecBz62dHwT5ezjO0kxeW1gkQXffIb0VIOr88sFI:hBrN/W4XffIb0XL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44284:INQACTCNgICGmITQAAzICORBZniaISUAJB0DRDqcDxbSgQBwQAVu3AJGMkZhgERA8WDArZEcwcCABRioCgFIDfkZIQ0YkBPI

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:00004000ffffffff
Perceptual Hash:f85141873e3f6386
Difference Hash:d090901d3d000013
Wavelet Hash:00000000ffffffff
Color Hash:#87c5b8

Scan History

Scan history not available

Unable to load historical scan data