Security Scan Report: waterfall.com

Redirected to:
https://mobilecommons.com/waterfall/
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Submitted: Sep 12, 2026, 7:09:38 PMCompleted: Sep 12, 2026, 7:10:19 PMpubliccompleted

Summary

This website contacted 14 IPs in 2 countries across 12 domains to perform 2 HTTP transactions. The main domain is mobilecommons.com and was registered 2 years 4 months ago.

Submitted URL: https://waterfall.com

Effective URL: https://mobilecommons.com/waterfall/Redirected

The Cisco Umbrella rank of the primary domain is #667,777 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate corporate page for Mobile Commons' Waterfall messaging product. No forms, no impersonation, no threat-intel or malware hits. Ordinary domain redirect, clean content.

Safety Factors
No credential or payment forms (0 forms total)
Page presents its own brand matching the destination domain
Established business with physical address and phone number
No threat-intel, YARA, or Safe Browsing matches
og:type article / corporate news-blog content, consistent with legitimate B2B site
Domain age information unavailable

Details

Page Title

Waterfall | Mobile Commons

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

The domain name 'waterfall.com' uses the commercial generic top-level domain (.com). Count 9 characters in 'waterfall' with 3 vowels and six consonants. Tokenizing the label suggests one word: waterfall. Average segment length settles at 9 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://waterfall.com

Page Load Overview

2.93s
Total Load Time
40
HTTP Requests
12
Domains
1.2 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-US
Text Length:10,665 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.18.34.38Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
223.185.0.4United States
AS54113Fastly, Inc.
2104.18.36.48Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2194.195.84.186Phoenix, Arizona, United States
AS47583Hostinger International Limited
223.185.0.2United States
AS54113Fastly, Inc.
223.194.190.151Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
2104.18.41.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
223.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.212.205.83Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
4014--

Page Statistics

40
Requests
12
Unique Domains
1.3 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T185E26371E0A001673F9F477D9191F328A5A8F305DA0A67EA70F970688AC5AF704E7B1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:vC+EU76D5r20dNJ6Ih744r9ZdSZUaAh8kWTsz17Kg/TU4jET7n43fSqN:F7F0nZdypaYTsz17Kg/TU4jET7n43fr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32841:VCLVdQSgKhYggDAHZUAIIwUIvxI0ARIIpQLMRIglRYAQCBFDAwWAgBWhYRUsCDvGwmJqIUA+DChEKoIKQBQkYEYWD6CBGAYK

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:ffff012323230101
Perceptual Hash:a6ced9dda48a6a21
Difference Hash:20aeefefeeefcf9f
Wavelet Hash:ffff032363230503
Color Hash:#2d7dd2

Scan History

Scan history not available

Unable to load historical scan data