Security Scan Report: lingoflow-eetsjrkvd9.edgeone.app

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Submitted: Dec 20, 2025, 11:32:50 PMCompleted: Dec 20, 2025, 11:36:43 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is lingoflow-eetsjrkvd9.edgeone.app and was registered NaN years ago.

Submitted URL: https://lingoflow-eetsjrkvd9.edgeone.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age 955 days (well established)
No forms collecting sensitive data
No malicious Indicators of Compromise matches found
No redirects or external links
Unranked status but no other suspicious signals
Domain age information unavailable

Details

Page Title

LingoFlow

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'lingoflow-eetsjrkvd9.edgeone.app' is registered with subdomain 'lingoflow-eetsjrkvd9'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Splitting it apart reveals 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://lingoflow-eetsjrkvd9.edgeone.app/

Page Load Overview

230.81s
Total Load Time
0
HTTP Requests
0
Domains
N/A
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:179 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
77%
healthcare medical
73%
entertainment media
71%
adult content
68%
government public service
57%

Detected Features

No structural features detected

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A05370655110E4AFDE833C8E6A3E3E3723DCC3FA4526DD4AA15FC30419E98B627652B1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Yf80ugTfiNvSu3XS1LZXj5eNZAFeyeyV1OQLGRtE55hJWzMhST3qdlIJxXpBw0gm:Of4vS8WOgfl2y4Nb7U2t4zwT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62908:AxcEVQNhg0DhQiQ6JKCRmhgDVQnZCQgMEL4FWAMAgsgKKgQrAQggCQKEQoHhwxBKgERxQB2BVIZ+GKoA4ySB0oFIoAhAJwdw

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:0c7f6f4f0f030200
Perceptual Hash:91db5f2c6a2e2c1a
Difference Hash:78d8888a8aceeecc
Wavelet Hash:0f7f7f4f4f030204
Color Hash:#e06cda

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data