Security Scan Report: fit-lavender-1uzzzld8m0-2xsm37mlam.edgeone.app

Submitted: Feb 28, 2026, 2:09:24 PMCompleted: Feb 28, 2026, 2:10:43 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is fit-lavender-1uzzzld8m0-2xsm37mlam.edgeone.app and was registered NaN years ago.

Submitted URL: https://fit-lavender-1uzzzld8m0-2xsm37mlam.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: 78%

3
Risk Score

No malicious content detected; low risk despite unknown subdomain age.

Risk Factors
Subdomain on edgeone.app with unknown creation date
Safety Factors
HTTPS with strong SSL encryption
No credential or payment collection fields
No malicious JavaScript or YARA detections
No external links or cross‑origin requests
No Indicators of Compromise in threat intelligence
Domain age information unavailable

Details

Page Title

Identity Verification | Secure Portal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(47%)

Domain Information

You're looking at domain 'fit-lavender-1uzzzld8m0-2xsm37mlam.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'fit-lavender-1uzzzld8m0-2xsm37mlam'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Segmentation suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fit-lavender-1uzzzld8m0-2xsm37mlam.edgeone.app/

Page Load Overview

0.99s
Total Load Time
2
HTTP Requests
1
Domains
2 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:232 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical47% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
47%
technology software
34%
government public service
28%

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

T1BBA17376A96714657943D4682BF747063B90C4039B0BC9193FECB288CF45B9AD9B238C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TuQ7Y9cmPVwOWwXOegjwsGZMJmVkivaQ+j3rN+SFFbou19B+mrV1:TAuwhf2JmVki+fPh9kMV1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5001:KhgxAhABWIDMCrAQQEAACCxIDiCAAAABSICDAAQKYMEKAEEQsKFBgIAgUsChEAk7AxEgIgADgkQw8gQgCLAIGAXgIYCQAJAQ

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:ffffe7e7e7e7ffff
Perceptual Hash:b3998c663399cc66
Difference Hash:001008084d080000
Wavelet Hash:f0f0f8e0c0d8c0c0
Color Hash:#93351f

Other Hashes

Crop Resistant:001008084d080000

Scan History

Scan history not available

Unable to load historical scan data