Security Scan Report: ovh.us

Redirected to:
https://us.ovhcloud.com/
Site favicon
Submitted: Sep 19, 2026, 7:36:21 AMCompleted: Sep 19, 2026, 7:37:16 AMpubliccompleted

This website contacted 13 IPs in 4 countries across 23 domains to perform 89 HTTP transactions. The main domain is us.ovhcloud.com and was registered 30 years ago.

Submitted URL: https://ovh.us

Effective URL:

https://us.ovhcloud.com/
Redirected

The Cisco Umbrella rank of the primary domain is #122,714 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Official OVHcloud site reached via redirect from ovh.us to us.ovhcloud.com. Self-branded, no forms, no credential collection, no threat-intel, YARA, or IDS hits. No phishing or malware indicators.

Safety Factors (5)
Final destination us.ovhcloud.com is the brand owner's own established domain
Page is OVHcloud self-branding (title/meta/site name all 'OVHcloud'), not impersonation of another entity
No credential or payment forms present anywhere on the page
No Indicators of Compromise, YARA, kit-roster, or IDS hits
Rich legitimate content: product catalog, certifications (ISO/IEC 27001, SOC, PCI DSS, HIPAA), legal and privacy pages
Domain age information unavailable

Details

Page Title

OVHcloud

Scan Type

public

Domain Name Analysis

You're looking at domain 'ovh.us' on the United States country-code top-level domain (.us) with no subdomain. The core label 'ovh' covers 3 characters containing one vowel alongside 2 consonants. Tokenizing the label suggests 2 words: ov, h. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ovh.us

Page Load Overview

3.99s
Total Load Time
814 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-us
Text Length:20,969 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
69%
corporate business
45%
cryptocurrency blockchain
42%
documentation technical
35%
corporate
35%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17198.27.92.14Canada
AS16276OVH SAS
6142.44.140.166Canada
AS16276OVH SAS
6104.18.16.34Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6146.75.122.132Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
652.222.236.60Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6104.102.41.211Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
6104.18.17.34Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
652.222.236.71Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
615.224.80.250Aws · CLOUDParis, Île-de-France, France
AS16509Amazon.com, Inc.
613.32.117.182Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
8913--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5740F3190B07625602366F6A1F933159CA2C00BD21E1C86B6FE47B46FD1F535CAB7AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8ywr+GW/o7Cb2pkIfD0swY00W/UOiW+vgnYj7uYjJl/3gHIRKpZwdf7rJAYxII5S:8TjwY00qjf0gnYefw9Ohnaad

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:365844:DEDXCFwVORgSgIHRFTgNCow2EISWmdIAiCFTDAjGVEAmgR4aAwghkAmUWRCooXJQCYDCAVO2ihmArBC4CnAwJECTASswFlYa

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:0700000000ffffff
Perceptual Hash:8303fcfc60f59a1a
Difference Hash:bde9d9c7cf772a69
Wavelet Hash:ff00000000ffffff
Color Hash:#756ce0

Scan History

Scan history not available

Unable to load historical scan data