Security Scan Report: congratulationsbabykinitamwaaa-i2scgn8o4i.edgeone.app

Submitted: Apr 3, 2026, 6:45:23 AMCompleted: Apr 3, 2026, 6:46:41 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is congratulationsbabykinitamwaaa-i2scgn8o4i.edgeone.app and was registered NaN years ago.

Submitted URL: https://congratulationsbabykinitamwaaa-i2scgn8o4i.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No malicious activity detected; the page appears benign and safe.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise detected
No JavaScript malware or suspicious behavior
External resources loaded from reputable CDNs (cdn.tailwindcss.com, fonts.googleapis.com)
Content appears to be a benign graduation card
Domain age information unavailable

Details

Page Title

Class of 2025-2026 Graduation Card

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'congratulationsbabykinitamwaaa-i2scgn8o4i.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'congratulationsbabykinitamwaaa-i2scgn8o4i'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://congratulationsbabykinitamwaaa-i2scgn8o4i.edgeone.app/

Page Load Overview

0.88s
Total Load Time
10
HTTP Requests
4
Domains
178 KB
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:2,299 chars
Detector Agreement:33%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.250.201.163Singapore
243.152.26.58Singapore
2104.26.2.143Singapore
2142.250.154.95SingaporeUnknown
104--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F792EA1667A100367C5380FAEBD2BA08B22550C7CF1BC97E7ACD5200AFD79B55AD7748

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ChFSP2RaRRZQYlLpql+q0JH7JXeS7JXex/27xCDsNxfgL+WbQQwsfFGTgUig1ANN:Cv8xdhL7QQf0+WbQ4Gj1ANaVYopd3G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20256:oQZEHBxDIJiBQDoGoUgsyBRZiaEEhiC0eGoETEVPhIPAwSvQlFJ9QRglCFJ4okCSkoZSQVQTh0IIiDAw4EkwA4FADlIxUDAh

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:ffe7e7ffffe7e7ff
Perceptual Hash:e6269999cccc6633
Difference Hash:204d4d20104c0c10
Wavelet Hash:f8e0e0e00303031b
Color Hash:#78583a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data