Security Scan Report: www.alogent.com

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Submitted: Completed: publiccompleted
This website contacted 67 IPs in 4 countries across 45 domains to perform 128 HTTP transactions. The main domain is alogent.com and was registered 26 years ago.

Submitted URL: https://www.alogent.com/banking-definitions/check-fraud

The Cisco Umbrella rank of the primary domain is #755,077 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established banking-software vendor's informational article on check fraud. Self-branded, no credential or payment forms, no threat-intel, hunting rule or kit hits. Contact form routes to HubSpot, which is normal marketing lead capture.

Safety Factors (6)
26-year-old established domain with physical address visible
Self-branding consistent with the domain (Alogent)
No password, payment or disguised credential fields
Threat intelligence, hunting rule and kit-roster checks all clean
Content is educational/informational about bank check fraud
Analytics and CRM script hosts (HubSpot, Bing, DoubleClick) are standard marketing infrastructure
Domain age information unavailable

Details

Page Title

Check Fraud | Alogent

Scan Type

public

Domain Name Analysis

The domain 'www.alogent.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label 'alogent' stretches across 7 characters split between 3 vowels and 4 consonants. Word splitting yields 2 words: alo, gent. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

PAK N 9 PAYMENT; ‘CONTENT. & LOAN ca IN ogent I. RIAN ROEMENT INNOVATION HUB: ‘OUR APPROACH COMPANY] @ | cum [Banking] (Definitions) Check Frau Share via: )) & ® What is check fraud and how can yo...

Page Load Overview

3.72s
Total Load Time
3.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:14,527 chars
Detector Agreement:80%

Website Classification

Primary Category

finance banking56% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
56%
technology software
46%
documentation technical
33%
government public service
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6223.185.0.2Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.19.148.8Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.15.52Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.16.6.65Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.16.140.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.97Google · CDNUnited States
AS15169Google LLC
118.245.86.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1104.19.175.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.16.160.168Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12867--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A348F059A94215770564CBF7081BF7866B2D713AA820A85F17D4D807FF38AD3A8FB39

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BJvos8lphisz6eTO4CYIlgrLXzZJo191OE3cCdzi:BJvos83ssz6zHg/XTq8ES

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:251305:AhAJYqhZUYnEQIgFKCguAMFH8UEQAAjQqQqwuFRCIcKm0CyOKQvCFIH8gAIGDNM4QQnAIbKgQABgE2AQoyIEkAECC1hQTAAJ

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:000000ffffffff07
Perceptual Hash:a64b24d9b4d926d9
Difference Hash:b1c1c93d222131ce
Wavelet Hash:000000ffffffff00
Color Hash:070c00000c0

Scan History

Scan history not available

Unable to load historical scan data