Security Scan Report: inner-green-wi8rh563v8-h1o8mjhmog.edgeone.app

Submitted: Mar 18, 2026, 5:36:32 AMCompleted: Mar 18, 2026, 5:38:14 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is inner-green-wi8rh563v8-h1o8mjhmog.edgeone.app and was registered NaN years ago.

Submitted URL: https://inner-green-wi8rh563v8-h1o8mjhmog.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

No malicious activity detected; the site appears to be a simple birthday greeting page.

Safety Factors
No credential or payment collection fields
No suspicious JavaScript behavior or exfiltration
Content appears harmless and non‑phishing
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(42% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'inner-green-wi8rh563v8-h1o8mjhmog.edgeone.app' is registered with subdomain 'inner-green-wi8rh563v8-h1o8mjhmog'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 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://inner-green-wi8rh563v8-h1o8mjhmog.edgeone.app/

Page Load Overview

0.85s
Total Load Time
3
HTTP Requests
1
Domains
8 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:42%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:42%
Script Type:Latin
Text Length:159 chars
Detector Agreement:100%

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
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DF0D3A75626241F358391A07D81D6CF3C84D2937717B5D115C714ACD3C8807593664D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:8s3rpYxPGpHxKYWUwf7JwguitxVxDvcl+CP4rBHQF+dxSMBRu+xrdzVmgY5aHj:8MYfYAJwNitxUH8ZQIUMnt7zhY5e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:649:AABAAAABAAAAAAAAAAAAAABAAAAAAAAgAAABAAAABCAAAgAAAAAAAAAAgIBIAAAEAAABAAABAAAAAAAAAgAAAAAAIAAAAAAA

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:000fffffffffffff
Perceptual Hash:87070f0f0f0f0f8f
Difference Hash:7898000000000000
Wavelet Hash:0000ffff0f0f0f0f
Color Hash:#79ced2

Other Hashes

Crop Resistant:7898000000000000

Scan History

Scan history not available

Unable to load historical scan data