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Security Scan Report: hcc.ucareapp.com

Submitted: Nov 17, 2025, 11:48:29 PMCompleted: Nov 17, 2025, 11:50:20 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 hcc.ucareapp.com and was registered NaN years ago.

Submitted URL: https://hcc.ucareapp.com/

AI Security Verdict

Safe Website

Confidence: 88%

2
Risk Score

Site appears legitimate with no significant security concerns.

Safety Factors
Long‑standing domain registration
Absence of malicious Indicators of Compromise
No hidden or deceptive form fields
No suspicious redirects or external domains
Domain age information unavailable

Details

Page Title

Sign In | UCare

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

The domain 'hcc.ucareapp.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'hcc'. The core label 'ucareapp' covers 8 characters containing 4 vowels alongside four consonants. Splitting it apart reveals 3 words: uc, are, app. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hcc.ucareapp.com/

Page Load Overview

30.11s
Total Load Time
3
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:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
59%
adult content
49%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
323.101.208.52Sydney, New South Wales, Australia
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F041442665309C3242276AD572719B1D5097D35CC913AC0043FDD3AA6BFAEC6CE114DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:1f6bHxjqQIwRTTYEOX4n/gPcTPdT2faFxGUZeUFIFaFq0CeL5:l6VuSTTpOo/gPcTPBaa/GE9FIFaFq0CG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2439:AAAAAAAgAAAAgQEoAAEYABAQgAmUAARAECAAAAEAAACAAAFQBAIAAAAgQAAAAECBMAUDAAACQAAAAAAAAAAAAAACUAAAMABg

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:ffe7a7e7e7ffffff
Perceptual Hash:b333cccc64cc9933
Difference Hash:1008284c0c300000
Wavelet Hash:ccc8c0c0d8f0f0f0
Color Hash:#c5b187

Other Hashes

Crop Resistant:1008284c0c300000

Scan History

Scan history not available

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