Security Scan Report: autodiscover.millerelectrical.net

Submitted: Jan 17, 2026, 9:41:46 PMCompleted: Jan 17, 2026, 9:43:31 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is autodiscover.millerelectrical.net and was registered NaN years ago.

Submitted URL: https://autodiscover.millerelectrical.net

The Cisco Umbrella rank of the primary domain is #558,678 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate; no security concerns detected.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise matches
No credential or payment collection forms
No evidence of brand impersonation
Domain age information unavailable

Details

Page Title

autodiscover.millerelectrical.net

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

cryptocurrency blockchain

(70%)

Domain Information

You're looking at domain 'autodiscover.millerelectrical.net' on the network infrastructure generic top-level domain (.net) and includes subdomain 'autodiscover'. The second-level label 'millerelectrical' is 16 characters long holding six vowels versus ten consonants. Segmentation suggests 2 words: miller, electrical. Median word length is eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autodiscover.millerelectrical.net

Page Load Overview

0.32s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:417 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain70% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
70%
technology software
66%
news media journalism
60%
social media network
53%
healthcare medical
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.98.241.168Netherlands
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3048F773296063985558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8Old6:AhoC9JSqzzbs6o3Sj3gcrsg2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184556:AQ0IKCggKAUEJ9FoMgAY4AJMLCwsKWRDWKFgESIiAJKMrAScEBQwZYNA5SKFKBAVBQwg0IQCIkITGUxQUMAKKMo4wyQwsEIB

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#8790c5

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data