Security Scan Report: unif.one

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Submitted: Mar 1, 2026, 2:02:25 PMCompleted: Mar 1, 2026, 2:03:57 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is unif.one and was registered NaN years ago.

Submitted URL: https://unif.one/apply/

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

New domain with an email-only form and no malicious signs; low risk.

Safety Factors
No credential or payment collection
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

unifone / apply

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(64%)

Domain Information

Domain 'unif.one' uses the .one top-level domain. Its registrable label 'unif' stretches across 4 characters containing 2 vowels alongside 2 consonants. Breaking it apart gives two words: un, if. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unif.one/apply/

Page Load Overview

0.28s
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: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
2172.67.134.99United States
21--

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:#6ce090

Other Hashes

Scan History

Scan history not available

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