Security Scan Report: foolish-coral-jlflvukmm4-rtz1dyoxks.edgeone.app

Submitted: Mar 23, 2026, 8:25:21 PMCompleted: Mar 23, 2026, 8:26:29 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is foolish-coral-jlflvukmm4-rtz1dyoxks.edgeone.app and was registered NaN years ago.

Submitted URL: https://foolish-coral-jlflvukmm4-rtz1dyoxks.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Site mimics Frontline.io on a new free‑hosting subdomain; no credential capture but caution advised.

Risk Factors
Brand impersonation (title claims Frontline.io on unrelated domain)
Very new subdomain on free hosting platform (.edgeone.app)
Low Cisco Umbrella ranking
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise matches
No JavaScript malware or suspicious behavior detected
Only external resources are benign (Google Fonts, Wix static assets)
Domain age information unavailable

Details

Page Title

Field Service Benchmark Survey – frontline.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(44%)

Domain Information

The domain 'foolish-coral-jlflvukmm4-rtz1dyoxks.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'foolish-coral-jlflvukmm4-rtz1dyoxks'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://foolish-coral-jlflvukmm4-rtz1dyoxks.edgeone.app/

Page Load Overview

0.58s
Total Load Time
8
HTTP Requests
4
Domains
98 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:2,264 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software44% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
44%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
265.8.131.76Singapore
2142.251.208.163Singapore
2172.217.16.202SingaporeUnknown
84--

Detected Technologies1

25%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10BA2737525B31626A06354D5B7FB1B5F23A0E107D90B851A7BEC13E48FC2EC8DCA3688

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ccbBNKG9VhQwm0D6udVklRY7vsR2/5gWK9q9KgpMdZLvUL+LDp81rk/qifc0J/cg:cmTwaS3uYcw1TYTvvB02p95Ne

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21534:LIVaBRgAROoKOKFEPP3lkGXCRScBWIE6EEemMoDSGAokYSGgACXAwmAYIaTGIVWAMBlCQQEDcEgIMQKQAJzQFHLSjVhagSKG

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:ffffcfc7ffc3e7ff
Perceptual Hash:b399cc66993323cc
Difference Hash:00101c1c100c0c00
Wavelet Hash:f0c0c0c0c3c3c3ff
Color Hash:#772d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data