Security Scan Report: autodiscover.frederick.health

Submitted: Mar 17, 2026, 8:24:24 PMCompleted: Mar 17, 2026, 8:26:08 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is autodiscover.frederick.health and was registered NaN years ago.

Submitted URL: https://autodiscover.frederick.health

The Cisco Umbrella rank of the primary domain is #615,339 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

autodiscover.frederick.health

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

cryptocurrency blockchain

(69%)

Domain Information

Within the .health top-level domain, 'autodiscover.frederick.health' is registered with subdomain 'autodiscover'. Count 9 characters in 'frederick' with three vowels and six consonants. Word splitting yields 1 word: frederick. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autodiscover.frederick.health

Page Load Overview

0.17s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:326 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain69% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
69%
technology software
60%
news media journalism
56%
social media network
52%
adult content
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
240.99.150.120Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189048F77329A063986558498E05B830D9F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ifQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz52bMy8OldM:ZhoC9JSqzzbs6o3Sj3gcrs12eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187241:dAMACtDIsBsYAFQmQLj8JAAMQMCCIMGkoGIKBqhUBnAogIIUAzEmAABwpEDQpSA1AMMTSmAziOgGABSAMUFxMBCIRoAgeUGC

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339accccb33364
Difference Hash:0018181616000000
Wavelet Hash:3c1c0404c0fcfcfc
Color Hash:#7bac53

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

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