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Security Scan Report: digital-coffee-njrvh7rng7-e5isb3ftf0.edgeone.app

Submitted: Apr 13, 2026, 12:32:59 AMCompleted: Apr 13, 2026, 12:34:19 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 digital-coffee-njrvh7rng7-e5isb3ftf0.edgeone.app and was registered NaN years ago.

Submitted URL: https://digital-coffee-njrvh7rng7-e5isb3ftf0.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: 75%

2
Risk Score

The site shows no malicious activity and lacks credential or payment forms; despite an unknown subdomain age and low ranking, it is assessed as low risk.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain ranking in Cisco Umbrella
Safety Factors
Absence of login, payment, or credential‑harvesting forms
No malicious network or IDS alerts
No external links or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Indian Cash Book

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(74%)

Domain Information

You're looking at domain 'digital-coffee-njrvh7rng7-e5isb3ftf0.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'digital-coffee-njrvh7rng7-e5isb3ftf0'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Breaking it apart gives 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://digital-coffee-njrvh7rng7-e5isb3ftf0.edgeone.app/

Page Load Overview

0.42s
Total Load Time
2
HTTP Requests
1
Domains
4 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:224 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking74% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
74%
government public service
40%
healthcare medical
38%

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

T1C1E1865B72F309E2615761BD5FB74B12BB74C013D909CE153E8D62B48F81DA140ABB8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Vr1FQEsl2b8xFFee3j22Up5FdVwZ3VwHWygEaqwS24QnP:Vr1FdslO23j2Ph4SNg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6872:QlAIMBCMBCIVtwAQARwAhEBOUwSSSIliJKWaABCizQEVAIiKgiIQEmDEEEACsIggQZAA1VwBAoCAGGAgOAgMKm4QIQMQAAiB

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:ff8181ffffffffff
Perceptual Hash:bc6dc3c3c3963434
Difference Hash:c92b376002000000
Wavelet Hash:6719017f0f0f0f0f
Color Hash:#aca053

Other Hashes

Crop Resistant:c92b376002000000,008012ccc65a1802

Scan History

Scan history not available

Unable to load historical scan data