Security Scan Report: unif.pages.dev

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Submitted: Feb 24, 2026, 12:55:59 PMCompleted: Feb 24, 2026, 12:57:33 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 unif.pages.dev and was registered NaN years ago.

Submitted URL: https://unif.pages.dev/apply

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Site appears legitimate; only an email‑only form is present and no malicious activity was detected.

Risk Factors
Subdomain on a free hosting platform with unknown creation date
Safety Factors
No password or payment fields present
No malicious Indicators of Compromise
No JavaScript malware detected
No credential exfiltration behavior
Domain age information unavailable

Details

Page Title

unifone / apply

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(64%)

Domain Information

The domain 'unif.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'unif'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus three consonants. Word splitting yields one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unif.pages.dev/apply

Page Load Overview

0.40s
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:130 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network64% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
64%
technology software
60%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.47.73United States
AS13335Cloudflare, Inc.
31--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18861635892B31454F413E5583FDF228C1514F1174D09DD18FECEAA88CFCA6C8AA53B5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBr6yzvsfuQvBfcHmK0lvE6rfEW0Qtwke7WPz:Vr6yjxQp0HAJrfT0PA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3300:EAyAhAIABAEAEABAYABQAkAMQAERBCKBAjBoAAAkBSABCgAAAIAJAAIAkACKkKAAIRAIEgQQACAAAAkFACgGAiBAiMAAoASA

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:0030000000183c00
Perceptual Hash:cc66cc9933993399
Difference Hash:1064606020307104
Wavelet Hash:80fe3cfe3cbc3c00
Color Hash:#5391ac

Other Hashes

Scan History

Scan history not available

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