Security Scan Report: covidstatus.dps.illinois.edu

Submitted: Nov 27, 2025, 2:49:07 PMCompleted: Nov 27, 2025, 2:53:32 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 2 HTTP transactions. The main domain is covidstatus.dps.illinois.edu.

Submitted URL: https://covidstatus.dps.illinois.edu/sarah-hyland-leaks

The Cisco Umbrella rank of the primary domain is #53,607 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Sarah Hyland: Unseen Photos & Shocking Details Emerge – What You NEED to Know Now %!s(MISSING) - COVID Care Hub

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'covidstatus.dps.illinois.edu' is registered and includes subdomain 'covidstatus.dps'. The registrable portion 'illinois' spans 8 characters containing 4 vowels alongside 4 consonants. Breaking it apart gives one word: illinois. Average segment length settles at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://covidstatus.dps.illinois.edu/sarah-hyland-leaks

Page Load Overview

0.43s
Total Load Time
2
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:780 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
56%
education
45%
adult content
40%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.23.64.144UnknownUnknown
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EDF2D773E2FC1C2E554342E1B8A972B66E55814F9A0D0918F59D02AC1F43DEBA87B36C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:VNMeX/2rBH/kDv4YXgv/9nmoS07R8Wo0cb/Io8Zvaqf:9OhkDv4UybptcMo8X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37020:KJZAErIAQHQwMxXUUgMSsAUEgmFogUCE1CAYWImhAABI8wKx6AKEBDpaCvAFkBhRGQsUwCUbCZmdgSSkAIgMQGYomLQGIOLT

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:e060000000007e7e
Perceptual Hash:c06bc06b3fc43e8d
Difference Hash:c9c2d0cc72f0c48c
Wavelet Hash:efe06e001c00ff7e
Color Hash:#6cdce0

Other Hashes

Scan History

Scan history not available

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