Security Scan Report: autodiscover.orlando.gov

Submitted: Mar 8, 2026, 1:22:06 PMCompleted: Mar 8, 2026, 1:23:50 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.orlando.gov and was registered NaN years ago.

Submitted URL: https://autodiscover.orlando.gov

The Cisco Umbrella rank of the primary domain is #182,805 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.orlando.gov

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

cryptocurrency blockchain

(66%)

Domain Information

You're looking at domain 'autodiscover.orlando.gov' on the United States government-restricted top-level domain (.gov); it also runs on subdomain 'autodiscover'. Count 7 characters in 'orlando' split between 3 vowels and 4 consonants. Segmentation suggests one word: orlando. Median word length comes out to seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autodiscover.orlando.gov

Page Load Overview

0.13s
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:325 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain66% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
66%
technology software
62%
news media journalism
55%
social media network
52%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.98.178.216Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160048F77329A063986558498E05B830D9F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszN2bMy8Old4:5hoC9JSqzzbs6o3Sj3gcrsZ2eAi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187206:FaACm7PjRAIiALQlgADgYKhAnBoAkUowQgmqZYFLV0BIliQDIFgAAhDXAEEKAAhYCixAgYnECC5CATZuzeuBSAgoSwSRwUFQ

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:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4003c3c3c
Color Hash:#6c40bf

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

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