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Security Scan Report: www.myunidays.com

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Submitted: Nov 24, 2025, 11:47:54 PMCompleted: Nov 24, 2025, 11:50:16 PMpubliccompleted
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Summary

This website contacted 47 IPs in 2 countries across 16 domains to perform 226 HTTP transactions. The main domain is myunidays.com and was registered NaN years ago.

Submitted URL: https://www.myunidays.com/US/en-US/campaigns/black-friday

The Cisco Umbrella rank of the primary domain is #116,341 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site appears legitimate but low ranking suggests a minor risk.

Risk Factors
Low Cisco Umbrella ranking for a brand claim (potential typoesquatting indicator)
Safety Factors
Domain age 5390 days (well‑established)
No malicious Indicators of Compromise matches found
No credential or payment forms present
Domain age information unavailable

Details

Page Title

Black Friday 2026 Deals | Exclusive Student Discounts | UNiDAYS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(79%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.myunidays.com' is registered with subdomain 'www'. Count 9 characters in 'myunidays' split between 3 vowels and 6 consonants. Splitting it apart reveals 3 words: my, uni, days. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.myunidays.com/US/en-US/campaigns/black-friday

Page Load Overview

0.74s
Total Load Time
226
HTTP Requests
16
Domains
1.3 MB
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:3,347 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning79% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
79%
technology software
58%
documentation technical
38%
healthcare medical
36%
corporate
35%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12652.222.136.31United States
AS16509AMAZON-02
4518.245.46.2United States
AS16509AMAZON-02
1535.190.14.188United States
AS396982GOOGLE-CLOUD-PLATFORM
752.222.214.45United States
AS16509AMAZON-02
6185.221.85.3Ireland
AS206998New Relic International Limited
652.222.136.83United States
AS16509AMAZON-02
535.166.10.37Boardman, Oregon, United States
AS16509AMAZON-02
418.245.46.4United States
AS16509AMAZON-02
452.222.214.32United States
AS16509AMAZON-02
418.245.46.17United States
AS16509AMAZON-02
22647--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A64E9F7918015222113DDEB567B1D8E6B0BCC36D802FDE4B59581C39ECF4AA0725BAE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:upEDMyG/7Sb4tAO2HpHu+DGDtPHjlg6lzkeIhoOzMJ:eEDMyq7Sb4tAO+pCDlg6l2Z4J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:326292:AkNAejIwTDCYSOENMABZw0QpiUTCEgjdwcTwJA8whMCgAAJwvLxYkVMtbRAIokgiRpAgBAkUcA2GxRAkIJJBJJfCGkAIsoSJ

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:ff8181ffff83dfff
Perceptual Hash:bc6dc191c39636c3
Difference Hash:93332f2d3b3b373b
Wavelet Hash:c3818197cf81c3df
Color Hash:#726ce0

Other Hashes

Crop Resistant:93332f2d3b3b373b,b2f0d4f4f4d6e6e6,53139c9d98181919

Scan History

Scan history not available

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