Security Scan Report: bilka-23s2b6u2n9.edgeone.app

Submitted: May 5, 2026, 8:15:00 AMCompleted: May 5, 2026, 8:16:15 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is bilka-23s2b6u2n9.edgeone.app and was registered NaN years ago.

Submitted URL: https://bilka-23s2b6u2n9.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: 72%

5
Risk Score

The site hosts a credential form on a newly created, low‑reputation subdomain; moderate risk suggests caution before interacting.

Risk Factors
Unknown subdomain age
Low domain reputation
Credential collection form on a newly created subdomain
Safety Factors
No malicious JavaScript patterns detected
No network IDS alerts
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Bilkaaz Billing

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

finance banking

(44%)

Domain Information

You're looking at domain 'bilka-23s2b6u2n9.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'bilka-23s2b6u2n9'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. It segments into 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://bilka-23s2b6u2n9.edgeone.app/

Page Load Overview

0.56s
Total Load Time
2
HTTP Requests
1
Domains
13 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:hi
Text Length:794 chars
Detector Agreement:100%
Language mismatch: Declared as hi but detected as en

Website Classification

Primary Category

finance banking44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
44%

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

T1CE23851660F32422599770B9BFEF9B063564C203F60ACE507EAC52D49F96DA4C97738C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6z5PWtSx0n+GIGHTsmpXZ3lXp7X/WkdfN:6pZ5Gzs0p3ekdfN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48396:YABEUyZlho2SxYgEhHdpIGiNCAFFUFqIdyAKwHCS+qgQHAGEBCAUwEjQEgBBK6M8AIkHjXQCcdAY2oZMSgQbJ58RGQCjwkBA

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:3c3c3c3c3c3c3c3c
Perceptual Hash:dbce31cf26914493
Difference Hash:6969696969617969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#53a5ac

Scan History

Scan history not available

Unable to load historical scan data