Security Scan Report: ride509.freshdesk.com

Redirected to:
https://ride509.freshdesk.com/support/solutions/articles/48000490811-d...
Submitted: Apr 10, 2026, 11:15:53 AMCompleted: Apr 10, 2026, 11:16:56 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 13 domains to perform 1 HTTP transaction. The main domain is ride509.freshdesk.com and was registered NaN years ago.

Submitted URL: https://ride509.freshdesk.com

Effective URL: https://ride509.freshdesk.com/support/solutions/articles/48000490811-do-you-accept-c-o-d-orders-Redirected

The Cisco Umbrella rank of the primary domain is #16,120 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate Freshdesk support article with no malicious indicators.

Safety Factors
Long‑standing domain
Well‑ranked in Cisco Umbrella
Freshdesk hosting (trusted SaaS support platform)
No suspicious JavaScript or malware detections
No phishing or brand impersonation cues
Domain age information unavailable

Details

Page Title

Support : 509 Customer Service

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(31%)

Domain Information

Within the commercial generic top-level domain (.com), 'ride509.freshdesk.com' is registered; it also runs on subdomain 'ride509'. The registrable portion 'freshdesk' spans 9 characters holding two vowels versus 7 consonants. It segments into two words: fresh, desk. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ride509.freshdesk.com

Page Load Overview

2.23s
Total Load Time
49
HTTP Requests
19
Domains
784 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:1,987 chars
Detector Agreement:75%

Website Classification

Primary Category

e-commerce shopping31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
31%
news/blog
30%
technology software
30%
education learning
27%
documentation technical
26%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
752.217.226.48United States
73.161.78.5United States
AS16509Amazon.com, Inc.
7172.66.0.145United States
AS13335Cloudflare, Inc.
7162.159.140.147United States
AS13335Cloudflare, Inc.
7142.251.110.94United States
AS15169Google LLC
7142.251.110.95United States
AS15169Google LLC
7142.251.110.97United StatesUnknown
497--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17223521151ED2DBA051323C234943E95B4BFAE35EEB340AE71BF4625AF82D80952F47B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ka1E+/gdF1qySHz6K6Lc6p6+6o646hQb76c696G6U6IfOs6W6j63606Xq16S6164:ka1EUgeH21Lj4Z/PhQbOjcRrIfOzhmK7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47377:gAy5Ag96qBAMlXYcWAQSkCANAkMhAlI4VWEBCA6ciCAlKBlpAySAKRaIQhpKIUBhAoKAGEAsggibFkWY5FAkCCqsG7dlBiDT

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:9bc3c3dfe7ffdbda
Perceptual Hash:bc3e1caa1c9c5c3a
Difference Hash:223632230b0b3332
Wavelet Hash:9a80838bc3e3dbda
Color Hash:#e0d26c

Other Hashes

Crop Resistant:223632230b0b3332

Scan History

Scan history not available

Unable to load historical scan data