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Security Scan Report: rbisir1receipt3-soa4ahprch.edgeone.app

Submitted: Nov 19, 2025, 7:29:17 PMCompleted: Nov 19, 2025, 7:31:07 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 3 HTTP transactions. The main domain is rbisir1receipt3-soa4ahprch.edgeone.app.

Submitted URL: https://rbisir1receipt3-soa4ahprch.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

RBISIR School Fee Card Maker

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

The domain 'rbisir1receipt3-soa4ahprch.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'rbisir1receipt3-soa4ahprch'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rbisir1receipt3-soa4ahprch.edgeone.app/

Page Load Overview

30.15s
Total Load Time
3
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:810 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
51%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58UnknownUnknown
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DD33F82D32F200371C5380F6F7ABB649B951E183DE0BDA98B99C82449FD7D52D893395

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ATewiIhL7GYYEhd/1AFunvrcZ6DdvNSTbSiRffbCQyhCfbo1+WtUsNrJi1jaxqic:ATewXhn5Y4v5DcYCTo9rdXvhux

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50211:EIAJIJkGChGNHAw8UEI4yQqNJAF0TQWwAhBtAA+p02EJQMAQsBQSfFXEIUGTHBEJ0DVAA1wMBgCAGUAyDIAmGhkZeKSEBJIF

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:0000181818180000
Perceptual Hash:cc3333cccc3333cc
Difference Hash:100c32b2b2320c10
Wavelet Hash:00003c3c3c3c0000
Color Hash:#4c2d86

Other Hashes

Crop Resistant:100c32b2b2320c10

Scan History

Scan history not available

Unable to load historical scan data