Security Scan Report: www.pentagon-group.co.uk

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Submitted: Completed: publiccompleted
This website contacted 15 IPs in 3 countries across 14 domains to perform 146 HTTP transactions. The main domain is pentagon-group.co.uk and was registered 21 years ago.

Submitted URL: https://www.pentagon-group.co.uk

The Cisco Umbrella rank of the primary domain is #964,725 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate UK car dealership (Pentagon Group) on its own established domain. Self-branded, no credential/payment forms, no malware or Indicators of Compromise. Safe to use.

Safety Factors (5)
Long-established domain (4+ years) with matching self-branded site
Real dealership network with physical addresses, phone numbers and named locations
Domain ranked inside Cisco Umbrella top 1M
No credential/payment capture, no malware, no threat-intel hits
Brand mentions (Vauxhall, Ford, Peugeot, etc.) are manufacturer partners of a real dealership, not impersonation
Domain age information unavailable

Details

Page Title

Pentagon Group | New & Used Dealerships & Aftersales Centres

Scan Type

public

Domain Name Analysis

The domain 'www.pentagon-group.co.uk' uses the United Kingdom country-code top-level domain (.co.uk) and includes subdomain 'www'. The registrable portion 'pentagon-group' spans 14 characters holding 5 vowels versus 8 consonants; bonus characters include one hyphen. It segments into two words: pentagon, group. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

> ContactUs | > Locations | > callusNow | > valuentyvenicie RY Reviews fram Pentagon Googie Motor Group lalallala’ Home New Cars Used Cars New Vans Used Vans Offers Electric Vehicles Service, Part...

Page Load Overview

3.37s
Total Load Time
2.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:17,726 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical37% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
37%
news media journalism
32%
forum
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20185.41.10.229United Kingdom
AS200083Sub 6 Limited
9185.41.10.155United Kingdom
AS200083Sub 6 Limited
9104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9142.251.20.97Google · CDNUnited States
AS15169Google LLC
9146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
9104.21.88.81Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9172.67.174.78Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9216.239.34.178Google · CDNUnited States
AS15169Google LLC
14615--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CBF1A6A73004C81D27518B69BAF2B4ADE097301F95F06DB2E4B7827F61E0FD9C066676

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:MKpskLRNpTlKTTmjVzoKCl5CTNSVzoQ13KVhV+:bpskL5ITyj5ojbChS5oaKTs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7714:oxIHBCdC5AKmRECADYJNDjywsBRYGiNBPDBAgIUAgrEAGc8CESgwgLgmoWUwpeo1SnIAEAABBgclBghmxMgDTIwAAAMEmzxS

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:ffc3bcbcb80b8367
Perceptual Hash:bbdaa09dc2fa8066
Difference Hash:8007695971370fce
Wavelet Hash:ff81b89cb80b8347
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data