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Security Scan Report: soglos.com

Redirected to: https://www.soglos.com/

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Submitted: Jan 11, 2026, 6:49:29 PMCompleted: Jan 11, 2026, 6:51:15 PMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 20 domains to perform 49 HTTP transactions. The main domain is soglos.com and was registered NaN years ago.

Submitted URL: https://soglos.com

Effective URL: https://www.soglos.com/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (over 19 years old)
No malicious Indicators of Compromise detected
No credential‑harvesting or payment collection forms
Site content aligns with its brand (SoGlos media)
Domain age information unavailable

Details

Page Title

SoGlos - Gloucestershire's leading media brand

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(44%)

Domain Information

Within the commercial generic top-level domain (.com), 'soglos.com' is registered. The second-level label 'soglos' is 6 characters long holding two vowels versus 4 consonants. Segmentation suggests 2 words: sog, los. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://soglos.com

Page Load Overview

8.98s
Total Load Time
120
HTTP Requests
33
Domains
2.6 MB
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:4,849 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical44% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
44%
healthcare medical
43%
government public service
29%
news media journalism
27%
entertainment media
27%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
820.254.37.114London, England, United Kingdom
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
723.197.137.50Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
723.45.237.21Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
7172.65.198.159United States
AS13335CLOUDFLARENET
7216.58.206.72United States
AS15169GOOGLE
7172.65.238.60United States
AS13335CLOUDFLARENET
7172.65.236.181United States
AS13335CLOUDFLARENET
7172.65.232.43United States
AS13335CLOUDFLARENET
7172.65.208.22United States
AS13335CLOUDFLARENET
718.245.46.47United States
AS16509AMAZON-02
12017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137A3C722C1E818672863A68173A2A5CEDE51D4C39B578904B35C8767EFD6C8BCC375BC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:U4rsX+YsoB2Je5nA4ni9JRAZi+Il6mEw8:Os4ni9Vl6y8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106153:aQQIohgKMJUSBAxUXuAyGAwgRhHBFlRCIEACqCCEzkGrxAOaJRICWRGULAQiYtBLhmh8Afhan0IKkEAgVjEKRhoIqLQABTAA

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:efffffffc78787c7
Perceptual Hash:b2c9f336c9d92630
Difference Hash:0a0e24000d0d0d0d
Wavelet Hash:8080ffff83878786
Color Hash:#3a783e

Other Hashes

Crop Resistant:0a0e24000d0d0d0d,3cbc6e6cecb090c3,c5c4c4c6c656d553

Scan History

Scan history not available

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