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Security Scan Report: embarrassed-peach-9hx8ahznxi-d8nux6nswp.edgeone.app

Submitted: Mar 14, 2026, 1:23:21 PMCompleted: Mar 14, 2026, 1:24:42 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 embarrassed-peach-9hx8ahznxi-d8nux6nswp.edgeone.app and was registered NaN years ago.

Submitted URL: https://embarrassed-peach-9hx8ahznxi-d8nux6nswp.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: 93%

0
Risk Score

No malicious activity detected; page appears to be a harmless birthday greeting.

Safety Factors
Benign birthday greeting content
No credential or payment collection fields
No cross‑origin credential exfiltration
Hosted on a known platform without malicious activity
No network IDS alerts
Domain age information unavailable

Details

Page Title

Happy Birthday

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(78%)

Domain Information

You're looking at domain 'embarrassed-peach-9hx8ahznxi-d8nux6nswp.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'embarrassed-peach-9hx8ahznxi-d8nux6nswp'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Segmentation suggests two 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://embarrassed-peach-9hx8ahznxi-d8nux6nswp.edgeone.app/

Page Load Overview

0.97s
Total Load Time
2
HTTP Requests
1
Domains
5 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:139 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content78% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
78%
news media journalism
58%
healthcare medical
56%
government public service
47%
finance banking
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2314186AAF31C42655387290FBB966075A88813911EC61C37CFB29DCFC02925AA939C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hR2ACvi3oywvionmqLSVq1DyQaOreDneSJg5vyNV4Y04dXV2FmyEInzIurBJFSJ6:TRcfxLeqk5OKaewv6qYDEzLF6sbjP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1655:AAIAAQAAABgAALAAAAAAAKhIAAAIIEAABEAAAAQgCAIAAEBAAAAQAAAEAQAAAiCAAoQAAACAAAAAAEIAAAAQAAAgAQAABABQ

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:0f3f07434347ffff
Perceptual Hash:a05c9b72648d7373
Difference Hash:fffb9f968f8ffbff
Wavelet Hash:0f0f030303077fff
Color Hash:#d22dae

Other Hashes

Crop Resistant:fffb9f968f8ffbff

Scan History

Scan history not available

Unable to load historical scan data