Security Scan Report: orlandhillspdil.gov

Redirected to: https://orlandhillspdil.gov/lander

Submitted: Dec 24, 2025, 7:12:45 PMCompleted: Dec 24, 2025, 7:26:03 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 34 HTTP transactions. The main domain is orlandhillspdil.gov and was registered NaN years ago.

Submitted URL: https://orlandhillspdil.gov/

Effective URL: https://orlandhillspdil.gov/landerRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security risks.

Safety Factors
Well‑established domain (>4 years)
Standard hosting (not IPFS or cloud storage)
No redirects or URL manipulation detected
No noindex meta tags
No suspicious external links
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

You're looking at domain 'orlandhillspdil.gov' on the United States government-restricted top-level domain (.gov) without a subdomain. The registrable portion 'orlandhillspdil' spans 15 characters holding four vowels versus 11 consonants. It segments into five words: or, land, hill, spd, il. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://orlandhillspdil.gov/

Page Load Overview

15.29s
Total Load Time
45
HTTP Requests
10
Domains
763 KB
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
0
Detector Agreement:0%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1023.207.210.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
713.205.133.131Mumbai, Maharashtra, India
AS16509AMAZON-02
7142.250.185.97India
7172.217.23.98UnknownUnknown
7142.250.185.164UnknownUnknown
715.197.148.33United States
AS16509AMAZON-02
456--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A0123C3DC92801E5B20C6DDBC32B71C800BE6ADAE55FD40F4AA11A649D86E54CAA458

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0VA2ZARUbAiSTsSQQ9WSPD3Lp0LVe2KPD3LqWTkIcTitrvsjTBs:hR0VA8oTs49WSeVpKSWQI7GTW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:698:AACAgAAAAAIAAAAAAAAAAAAACAAAAAAEAAAAQAIAAAAAAgBAAAAAAAAAAEAAAAAAAQAAAAAIAAAAAAEBAAAABAAAAAQAAAAA

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#79a4d2

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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