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Security Scan Report: psychiatric-apricot-ak2pfijxjh-3ffwdr639f.edgeone.app

Submitted: Feb 14, 2026, 8:36:42 AMCompleted: Feb 14, 2026, 8:37:54 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 psychiatric-apricot-ak2pfijxjh-3ffwdr639f.edgeone.app and was registered NaN years ago.

Submitted URL: https://psychiatric-apricot-ak2pfijxjh-3ffwdr639f.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; site appears legitimate.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No forms or sensitive data collection
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

psychiatric-apricot-ak2pfijxjh-3ffwdr639f.edgeone.app

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

technology software

(48%)

Domain Information

Within the application-focused generic top-level domain (.app), 'psychiatric-apricot-ak2pfijxjh-3ffwdr639f.edgeone.app' is registered and includes subdomain 'psychiatric-apricot-ak2pfijxjh-3ffwdr639f'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://psychiatric-apricot-ak2pfijxjh-3ffwdr639f.edgeone.app/

Page Load Overview

2.37s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:99 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

technology software48% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
48%
documentation technical
48%
government public service
37%
cryptocurrency blockchain
35%

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

T1FB048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszs2bMy8Oldo:5hoC9JSqzzbs6o3Sj3gcrsI2eAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184656:EggAgCYogkEGCmCsEBOQrgCognAaAAcrqsKaVipFUZAEQKQwFECKdwyIApYQb0AIgAFAXkqWAEQQEERJcASDBBSASGAGQFUB

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3c1c00040f0f0f0f
Color Hash:#d2799a

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data