Security Scan Report: abg-reebok-store.shopify-checkout.config.gorgias.chat

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 2 domains to perform 12 HTTP transactions. The main domain is gorgias.chat and was registered 6 years ago.

Submitted URL: https://abg-reebok-store.shopify-checkout.config.gorgias.chat

The Cisco Umbrella rank of the primary domain is #8,070 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors (5)
Well-established domain (>6 years)
High Cisco Umbrella ranking (top 10k)
No credential or payment forms
No malicious Indicators of Compromise
Page content minimal, no brand impersonation
Domain age information unavailable

Details

Page Title

Just a moment...from scan record

Scan Type

public

Domain Name Analysis

Domain 'abg-reebok-store.shopify-checkout.config.gorgias.chat' uses the .chat top-level domain, featuring subdomain 'abg-reebok-store.shopify-checkout.config'. The registrable portion 'gorgias' spans 7 characters with 3 vowels and four consonants. It segments into one word: gorgias. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abg-reebok-store.shopify-checkout.config.gorgias.chat

Page Load Overview

2.18s
Total Load Time
354 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:452 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
60%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.18.43.170United States
AS13335CLOUDFLARENET
121--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11FC012B3C460151B52339BDDEDC2AA4D8EC6B61DD4314D46F6D4A5A8C9D6A1AC403384

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL9RACKX8IIZK92S8K4FLfRRyIdlEbXItj:qzxV/5VHHQYk/B965X8IIZKYNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:6e3c4c2a19d8adcfa588f1b699746ccd

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:00ffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:c000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#6e862d

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data