Security Scan Report: xeric-green-oh4mmbb5lv-pvpgtfo615.edgeone.app

Submitted: Mar 16, 2026, 7:42:48 AMCompleted: Mar 16, 2026, 7:44:06 AMpubliccompleted
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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 xeric-green-oh4mmbb5lv-pvpgtfo615.edgeone.app and was registered NaN years ago.

Submitted URL: https://xeric-green-oh4mmbb5lv-pvpgtfo615.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: 88%

0
Risk Score

No security concerns detected; the site appears to be a personal page with no malicious activity.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation indicative of malicious behavior
Hosted on a reputable hosting platform (edgeone.app) without suspicious redirects or scripts
Domain age information unavailable

Details

Page Title

For Srijeta ๐Ÿ’•

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

adult content

(50%)

Domain Information

The domain 'xeric-green-oh4mmbb5lv-pvpgtfo615.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'xeric-green-oh4mmbb5lv-pvpgtfo615'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Segmentation suggests two 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://xeric-green-oh4mmbb5lv-pvpgtfo615.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
10 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
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:229 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content50% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
50%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15FA2D8A1926200227127C2EA52CB17B475782A43F2169C3C776EB518CFCCE6D33B76B5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+1cTyIxLG7fFaFiDP5FTaQxe0R+Rf9J77J8HAaqtfKW7pIFkGwlPBGpwHm8A31U9:+1cTyIx6J4WRhBwWUVZ9gJWCmyWzB8op

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23013:NKcAArSVVjHMShkHUEqBYgkhwIA0NaBATPFIRLAJwoiGF4FNIBIQCQRQeKNIACQ8KiNWpm4IRUxHAQRoKSRisBEwBmCEAvUa

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:0000181c18180000
Perceptual Hash:cc663399cc669999
Difference Hash:0000303032320c10
Wavelet Hash:00183c3c3d3f9d83
Color Hash:#7453ac

Other Hashes

Crop Resistant:0000303032320c10

Scan History

Scan history not available

Unable to load historical scan data