Security Scan Report: cctodsapiemea.gc.azure.bmw.cloud

Submitted: Jan 16, 2026, 4:45:45 AMCompleted: Jan 16, 2026, 4:47:57 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is cctodsapiemea.gc.azure.bmw.cloud and was registered NaN years ago.

Submitted URL: https://cctodsapiemea.gc.azure.bmw.cloud

The Cisco Umbrella rank of the primary domain is #46,505 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate and restricted to authorized clients.

Safety Factors
Established domain (>10 years)
High Cisco Umbrella ranking
No credential or payment forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Web App - Unavailable

Scan Type

public

Language

🇺🇸

English

(27% confidence)

Category

documentation technical

(66%)

Domain Information

The domain name 'cctodsapiemea.gc.azure.bmw.cloud' uses the .cloud top-level domain, featuring subdomain 'cctodsapiemea.gc.azure'. Its registrable label 'bmw' stretches across 3 characters split between 0 vowels and 3 consonants. Word splitting yields one word: bmw. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cctodsapiemea.gc.azure.bmw.cloud

Page Load Overview

0.26s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:27%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:27%
Script Type:Latin
Text Length:189 chars
Detector Agreement:33%

Website Classification

Primary Category

documentation technical66% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
66%
technology software
62%
healthcare medical
45%
news media journalism
43%
government public service
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.79.107.14Frankfurt am Main, Hesse, Germany
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C84122AE96F721447902C4686BD322412919E0036207C9387FCDF39CEFC55A28AE77CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:ha6plM+sBAxjxW6yXFHMDgW7ZRs2WRVmqy5PFkGJfnGhFplQtxncgsG9C8j:bplMDRtXF8Q6T1JuDplEcglV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1898:AAACAAAAgAAAQAgAAQAIgEQAAACAAAAAACCAAAEAQCAANEAQABFBAIMACAACEAAAAAAAAgBFgQAAFAAAAEABAAAAAEIAEACJ

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:0038383000000000
Perceptual Hash:cfcf38303066c6cd
Difference Hash:0c70604410000000
Wavelet Hash:2078b8b0f0f0f0f0
Color Hash:#5ed22d

Scan History

Scan history not available

Unable to load historical scan data