Security Scan Report: serious-amaranth-uqvp71xef8-nvgvco7ikf.edgeone.app

Submitted: Jan 7, 2026, 6:04:56 PMCompleted: Jan 7, 2026, 6:06:22 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 20 HTTP transactions. The main domain is serious-amaranth-uqvp71xef8-nvgvco7ikf.edgeone.app and was registered NaN years ago.

Submitted URL: https://serious-amaranth-uqvp71xef8-nvgvco7ikf.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: 95%

0
Risk Score

No security concerns detected; the page appears to be a benign personalized message.

Safety Factors
No forms collecting sensitive data
Established domain age reduces suspicion
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

For Megha 💗

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(48%)

Domain Information

Domain 'serious-amaranth-uqvp71xef8-nvgvco7ikf.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'serious-amaranth-uqvp71xef8-nvgvco7ikf'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://serious-amaranth-uqvp71xef8-nvgvco7ikf.edgeone.app/

Page Load Overview

1.74s
Total Load Time
3
HTTP Requests
2
Domains
6 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:223 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content48% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
48%
documentation technical
42%
healthcare medical
33%
government public service
28%
news media journalism
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
1104.18.40.96Singapore
1172.64.147.160United States
AS13335CLOUDFLARENET
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128A1C74F66530A14C16FC8903093A7EE322482025E4EC97466EEF162BFC6D7B95367F9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TnPCx0iyodMkSBavv5r1e89U1ZOy55yaKYS3rEE6PBxV7Yk67YNvliTp0:+YOM9uvl++ppMxhYk67YNvETp0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4841:AABACFQAgIEAoQgMkAEHAJOQCIgQgmCkABAUiEAQAMjQAgQUEwEBuUgEgQikBAMjgNAIEEoJIAQAgDCoAACBAcYRGGADRAAW

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:000000191b1b0707
Perceptual Hash:8863368dc876778d
Difference Hash:224454b1b2122c24
Wavelet Hash:01031b1f3f1f0f1f
Color Hash:#93351f

Other Hashes

Crop Resistant:224454b1b2122c24

Scan History

Scan history not available

Unable to load historical scan data