Security Scan Report: scattered-blush-4m2k2fea3o-mnp25mr7ls.edgeone.app

Submitted: Mar 29, 2026, 10:14:23 PMCompleted: Mar 29, 2026, 10:15:42 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 6 HTTP transactions. The main domain is scattered-blush-4m2k2fea3o-mnp25mr7ls.edgeone.app and was registered NaN years ago.

Submitted URL: https://scattered-blush-4m2k2fea3o-mnp25mr7ls.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%

0
Risk Score

No malicious activity detected; the site appears to be a harmless personal birthday countdown.

Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise
Low JavaScript obfuscation and no malware signatures
Standard external resources (Google Fonts, i.ibb.co)
Subdomain on a known hosting platform but no suspicious behavior
Domain age information unavailable

Details

Page Title

SREENANDA BIRTHDAY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(59%)

Domain Information

You're looking at domain 'scattered-blush-4m2k2fea3o-mnp25mr7ls.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'scattered-blush-4m2k2fea3o-mnp25mr7ls'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Segmentation suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://scattered-blush-4m2k2fea3o-mnp25mr7ls.edgeone.app/

Page Load Overview

1.17s
Total Load Time
6
HTTP Requests
4
Domains
86 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:76 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism59% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
59%
healthcare medical
51%
government public service
45%
adult content
35%
education learning
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
345.43.142.2Singapore
143.152.26.58Singapore
1142.251.127.94United States
1172.217.16.202UnknownUnknown
64--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FFA1666B61F300116417A4A53BE32B585A58F203D307C5DCBADE57849FCAA44ED977CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T+HOSJcyRHmkHVO3yJ14Sy5Pg5PA5PDOdC2:CuS3mkHQ3yJ1dy5Y5o5H2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4666:CAOAIBghgAIAEgEi8ABAJESAMBIRBgnEQOEgAgAAAIDiyoBAGAAAVrQCIIoAMgbBBARJoAhmiBAGAEEgAgABBAQKQkABwEDI

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:e149293f3f210167
Perceptual Hash:ab48706d966ccb36
Difference Hash:c39bd37169434b4d
Wavelet Hash:e169293d3f2103e7
Color Hash:#962dd2

Scan History

Scan history not available

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