Security Scan Report: naval-emerald-nfsbwkncii-t10h3h6jet.edgeone.app

Submitted: Mar 9, 2026, 4:22:10 AMCompleted: Mar 9, 2026, 4:23:46 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 9 HTTP transactions. The main domain is naval-emerald-nfsbwkncii-t10h3h6jet.edgeone.app and was registered NaN years ago.

Submitted URL: https://naval-emerald-nfsbwkncii-t10h3h6jet.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: 92%

1
Risk Score

Site appears legitimate with no malicious activity; safe to browse.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Standard free‑hosting platform without suspicious scripts
Domain age information unavailable

Details

Page Title

Coffee and Bagels | Premium Café & Coffee Shop in Mohali

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

Within the application-focused generic top-level domain (.app), 'naval-emerald-nfsbwkncii-t10h3h6jet.edgeone.app' is registered and includes subdomain 'naval-emerald-nfsbwkncii-t10h3h6jet'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Segmentation 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://naval-emerald-nfsbwkncii-t10h3h6jet.edgeone.app/

Page Load Overview

8.17s
Total Load Time
1
HTTP Requests
1
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:837 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
38%
adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
0142.250.201.67Singapore
0142.251.141.106Singapore
0146.75.120.193Singapore
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C1E2930219FB5005A063A1AAAFB7176A2AE6D007D40DC9257FEC630C9FDF465BDA334D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:VxgHIB+XP4C0NVA1hB9QDNqIQMIbYRoLd6Tilw/HCCPMgn0IvV5/vJ:oIB+gC0NVAUNqIlOl3Iz/vJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32024:nCAEACmHICokQtVeHl2awABfIQCAJgUDxQAAZCoQACqACQzYosOAIgApBOWiMoACAnMCIAkWwElRKABynwEESIDKvSybOKGF

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:ffc3c3c3c3c38383
Perceptual Hash:fd82d782d782c2d2
Difference Hash:232b2b333333232b
Wavelet Hash:ffc3c3c3c3838381
Color Hash:#c5879c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data