Security Scan Report: cus.fe.azcr.io

Submitted: Jul 3, 2026, 4:22:34 AMCompleted: Jul 3, 2026, 4:24:24 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 cus.fe.azcr.io and was registered NaN years ago.

Submitted URL: https://cus.fe.azcr.io

The Cisco Umbrella rank of the primary domain is #108,364 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; site appears legitimate and low risk.

Safety Factors
Old, well‑established domain
Self‑branding (no brand impersonation)
Zero forms – no data collection
No malicious indicators from threat intel or scans
Domain age information unavailable

Details

Page Title

cus.fe.azcr.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Domain 'cus.fe.azcr.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'cus.fe'. The core label 'azcr' covers 4 characters holding one vowel versus 3 consonants. Splitting it apart reveals 2 words: az, cr. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cus.fe.azcr.io

Page Load Overview

8.11s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:738 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
53%
adult content
40%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
172.152.15.2Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149048F77329A063986558498E45B83099F20B143F50AC87C79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:j/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPE2bMy8Oldb:khoC9JSqzzbs6okSjggcpss2eAN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187881:IIUUAqChBoohwSBcDoWkoIAHYCKoxIwEVUw4ARAA0JLkBFyEsUxMgynKiOMAaRDRkKUMjgRUKECCCRTAAQccZwJBOBkKSQER

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc663333
Difference Hash:00180c1000000000
Wavelet Hash:2f0f030f0f0f0f0f
Color Hash:#1f936b

Other Hashes

Crop Resistant:00180c1000000000

Scan History

Scan history not available

Unable to load historical scan data