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Security Scan Report: gccws.net

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Submitted: Sep 23, 2026, 7:39:06 PMCompleted: Sep 23, 2026, 7:39:59 PMpubliccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/5f560b5d-d1fe-4024-85c8-05abf774b72aDomain and IP registration (RDAP)/api/v1/rdap/5f560b5d-d1fe-4024-85c8-05abf774b72aCertificate Transparency/api/v1/ct/gccws.netHow often this domain was scanned/api/v1/domain/stats/gccws.netScan history for this domain/api/v1/domain/history/gccws.net?limit=15

This website contacted 14 IPs in 3 countries across 12 domains to perform 52 HTTP transactions. The main domain is gccws.net and was registered 21 years ago.

Submitted URL: https://gccws.net/building-the-ark-god-asks-you-to/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Established church article page with no credential/payment forms, no brand impersonation, and no malware indicators; the third-party IP reputation tag is generic and unrelated to page content.

Safety Factors (5)
Established domain over 22 years old
Visible physical address and church service details
Self-branded article page matching its own domain
No password, credential, or payment fields present
No content-malware, phishing, YARA, or IDS indicators
Domain age information unavailable

Details

Page Title

THE ARK GOD ASKS YOU TO BUILD | Grace Community Church of Willow Street

Scan Type

public

Domain Name Analysis

The domain name 'gccws.net' uses the network infrastructure generic top-level domain (.net). The second-level label 'gccws' is 5 characters long split between 0 vowels and 5 consonants. It segments into two words: gcc, ws. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gccws.net/building-the-ark-god-asks-you-to/

Page Load Overview

2.89s
Total Load Time
848 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:3,232 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
news/blog
60%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13162.159.135.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
365.21.110.156Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3188.245.173.247Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
3185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
5214--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14513B833B194A03A264B7BFC55D2B768A258A101D64FA7F1B4A5206CD9CC3FA11F378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9E0pn/IkKA+x6Ag07tZdypa91BhaoO0ng:9E+/Cg0xypWBhaEng

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43118:AAxCDCAAwVChlooYEcDRoACguRcgxYCcwgCSgUxFMDgwzQCiAjpxA3cWxSLBRAikASyKAASyowAYgBhAAII5QhFVNQuggUAA

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:0000ffffffffffff
Perceptual Hash:bc252e687858cbda
Difference Hash:2666001e3f073a2f
Wavelet Hash:0000ffc3c3c3dfc7
Color Hash:#784f3a

Other Hashes

Crop Resistant:2666001e3f073a2f,41232a2b26961616

Scan History

Scan history not available

Unable to load historical scan data