Security Scan Report: abbuy.site

Redirected to: https://www.dot-reviews.org/articles/a-2025-consumer-guide-to-smart-sustainable-buys.html?psystem=PW&domain=abbuy.site&oref=https%3A%2F%2Fabbuy.site%2F

Submitted: Feb 23, 2026, 2:02:43 PMCompleted: Feb 23, 2026, 2:03:47 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 13 HTTP transactions. The main domain is dot-reviews.org and was registered NaN years ago.

Submitted URL: https://abbuy.site

Effective URL: https://www.dot-reviews.org/articles/a-2025-consumer-guide-to-smart-sustainable-buys.html?psystem=PW&domain=abbuy.site&oref=https%3A%2F%2Fabbuy.site%2FRedirected

The Cisco Umbrella rank of the primary domain is #440,920 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate informational article; no phishing, malware, or credential harvesting detected.

Safety Factors
Well‑established domain (>14 years)
No password/email fields or payment collection
No malicious Indicators of Compromise detected
No network IDS alerts
HTTPS connection (implied by https URLs)
Domain age information unavailable

Details

Page Title

A 2025 Consumer Guide to Smart, Sustainable Buys | .Reviews

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(96%)

Domain Information

Within the .site top-level domain, 'abbuy.site' is registered. Count 5 characters in 'abbuy' holding two vowels versus 3 consonants. Word splitting yields 2 words: ab, buy. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abbuy.site

Page Load Overview

0.84s
Total Load Time
8
HTTP Requests
4
Domains
180 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
Text Length:64,334 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical96% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
96%
technology software
92%
e-commerce shopping
89%
blog personal website
86%
government public service
80%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.204.204.177India
1172.217.16.164United States
1142.251.37.1Germany
1216.58.206.66UnknownUnknown
13.33.130.190United States
AS16509Amazon.com, Inc.
123.207.210.143UnknownUnknown
86--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C0123C3DCA2C12D6B1082DDBC32B72C804BD56E9E50E940F4F114B69CD8AE20C6A45C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0VA2ZARUbAiSTsSQQ9WSPD3LiCLVe2KPD3LqPCTq6HGlNsGHfXe:hR0VA8oTs49WS6wVpKSPCO7HfO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:692:BACAAAAAAAIAAAAAAgAAAAAACAAAAAAAAAABAAIAAAAAAABAAAAAAAAAAEAAAAgAgQAAAAAIAAgAAAEAAAIAAAAAAAAAAAAA

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#79d29b

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data