Security Scan Report: cloudm.io

Redirected to:
https://www.cloudm.io/
Site favicon
Submitted: Sep 14, 2026, 9:32:19 PMCompleted: Sep 14, 2026, 9:33:03 PMpubliccompleted

This website contacted 38 IPs in 5 countries across 35 domains to perform 80 HTTP transactions. The main domain is cloudm.io and was registered 29 years ago.

Submitted URL: https://cloudm.io

Effective URL:

https://www.cloudm.io/
Redirected

The Cisco Umbrella rank of the primary domain is #650,468 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate CloudM B2B SaaS corporate site. Long-established domain with matching self-branding, corporate registration, no forms, and zero threat-intel, YARA or IDS signals.

Safety Factors
Established 6-year-old domain with verifiable corporate registration and physical address
Site presents its own brand consistently across title, meta, and OG tags
No forms, no credential collection, no payment capture
Clean threat intelligence, YARA, IDS and JavaScript analysis
Legitimate B2B corporate/SaaS content (cloud migration and workspace governance)
Domain age information unavailable

Details

Page Title

Cloud Migration and Google Workspace Management | CloudM

Scan Type

public

Domain Name Analysis

The domain 'cloudm.io' uses the British Indian Ocean Territory country-code top-level domain (.io) while skipping any subdomain. The registrable portion 'cloudm' spans 6 characters containing two vowels alongside 4 consonants. It segments into 2 words: cloud, m. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cloudm.io

Page Load Overview

2.14s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:19,063 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.16.138.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2162.159.135.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
252.159.82.83Azure · CLOUDChicago, Illinois, United States
AS8075Microsoft Corporation
252.208.255.92Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
295.101.74.107Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
295.101.74.112Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
2172.64.146.215Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
220.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
8038--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C726632F1A085677F5F97BCC1D1B328B9A8B7558A06A77630F831684A54AF700F722D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:P7hjip+EdpG2D979/V/2dRurq8RXdSZsTaAt69K3/1TNslOBCfuFGHmGmy4kWZD:7EnG2Dd9V/2furFZdSZUaAzkWZD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17484:EAANiiAoDGwYIAESBqYcAoiyCCsKkZAUDgFiCgVMiQCvgWhgAAQBiIgMFgKiCnSEAcQQOQt0TCAAGgRhWHHIMsACRCxQKQYC

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:fce7c7e7e7efe7c7
Perceptual Hash:b3cc66d9469a4933
Difference Hash:45968f0d4d494d8f
Wavelet Hash:00c3c3c7c7e7c3c3
Color Hash:#b0c587

Other Hashes

Crop Resistant:45968f0d4d494d8f

Scan History

Scan history not available

Unable to load historical scan data