Security Scan Report: shop.graceport.com

Redirected to:
https://shop.graceport.com/collections/graceport-industrial-control-pa...
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Submitted: Sep 24, 2026, 6:38:27 PMCompleted: Sep 24, 2026, 6:39:36 PMpubliccompleted

This website contacted 49 IPs in 3 countries across 44 domains to perform 474 HTTP transactions. The main domain is shop.graceport.com and was registered 30 years ago.

Submitted URL: https://shop.graceport.com

Effective URL:

https://shop.graceport.com/collections/graceport-industrial-control-pa...
Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Established manufacturer Grace Technologies' own Shopify store page; self-branded, no credential or payment forms, and no Indicators of Compromise, YARA or IDS hits. Legitimate.

Safety Factors (4)
26-year-old established domain with published business address and phone number
Product catalog content consistent with the company's stated business
No credential, password or payment collection on the page
No threat-intelligence, YARA, or network IDS matches
Domain age information unavailable

Details

Page Title

Industrial Control Panel Interface Connectors | Programming Ports | Grace Technologies – Grace Technologies, Inc.

Scan Type

public

Domain Name Analysis

The domain 'shop.graceport.com' uses the commercial generic top-level domain (.com) with subdomain 'shop'. Count 9 characters in 'graceport' split between three vowels and six consonants. Word splitting yields two words: grace, port. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shop.graceport.com

Page Load Overview

10.09s
Total Load Time
4.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:9,399 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content77% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
77%
government public service
77%
technology software
68%
documentation technical
67%
news media journalism
65%

Detected Features

Search
Products
OG: product.group

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4223.227.38.74Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
9104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9142.250.154.97Google · CDNUnited States
AS15169Google LLC
934.8.249.37Google · CDNKansas City, Missouri, United States
AS396982Google LLC
923.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
923.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
9199.60.103.226Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
9199.60.103.30Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
918.66.102.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
47449--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124344C61D0F58C3B0453E390D6A2A729769A8787C353876835ECC7A43FC7E62CD0B59A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:neH3kpJrcj2gWkWI2hrg/MvBmvrM8M11cSsrlWyQK/6:equMBsxtD6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:244634:IDBIkAIzokEJhxKAAE9wIDhmjAw0AMA2MwKCjgSQJA0CrAAikIWYEAIAGcgJhMI2KEjApJFJQUFgEGgDbgACEkwkAQCcImAw

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:0000e3fff3e7fff7
Perceptual Hash:e61c1c3a4c5d6765
Difference Hash:36264e430e0c202e
Wavelet Hash:0000e3e3e3a7ffa3
Color Hash:#93401f

Scan History

Scan history not available

Unable to load historical scan data