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Security Scan Report: rbisir1receipt2-mwheu4hils.edgeone.app

Submitted: Nov 21, 2025, 11:21:29 PMCompleted: Nov 21, 2025, 11:23:25 PMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 5 domains to perform 10 HTTP transactions. The main domain is rbisir1receipt2-mwheu4hils.edgeone.app.

Submitted URL: https://rbisir1receipt2-mwheu4hils.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: 70%

3
Risk Score

Site shows low ranking and possible brand impersonation but lacks malicious activity; treat as low risk.

Risk Factors
Low domain ranking combined with brand‑like naming may indicate typosquatting
Safety Factors
No forms collecting passwords, payment details, or personal identifiers
No malicious Indicators of Compromise matches
No external links to known malicious domains
Domain age information unavailable

Details

Page Title

Advanced 3D School Fee Card Maker - RBISIR

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

Within the application-focused generic top-level domain (.app), 'rbisir1receipt2-mwheu4hils.edgeone.app' is registered; it also runs on subdomain 'rbisir1receipt2-mwheu4hils'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Breaking it apart gives 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rbisir1receipt2-mwheu4hils.edgeone.app/

Page Load Overview

0.39s
Total Load Time
10
HTTP Requests
5
Domains
232 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:1,245 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.186.131United States
AS15169GOOGLE
243.152.26.58Singapore
AS139341ACE
2104.17.24.14United States
AS13335CLOUDFLARENET
1104.26.2.143United States
AS13335CLOUDFLARENET
1142.250.185.74United States
AS15169GOOGLE
0142.250.181.227United States
AS15169GOOGLE
0142.250.186.106United States
AS15169GOOGLE
0104.17.25.14United States
AS13335CLOUDFLARENET
02a00:1450:4001:80f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
02606:4700:20::681a:28fUnited States
AS13335CLOUDFLARENET
1017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17433E7247472047609DB84D6EEB3AA1431759343C60BC6CDF9AD83E41FDBC28D6B72A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:GTe28FxXFphneHjtKOn+jpG6HeoM1ySfFM+GtebP79+3N:L33hovnsY6HeowRHbP79+3N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50551:ABIIwi1YTAJY1QMSoymkajQAAYAAqaUOgEXCB2UKsomd5GQ7QIkEgkUEMJZygJFDAg3CCHKMBDEgkIRJsJgAYYoRP0RCCIVo

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:0000001818000001
Perceptual Hash:885522dd8877778d
Difference Hash:00100c32b20c1101
Wavelet Hash:00003c3c3f3f0303
Color Hash:#bfb540

Other Hashes

Crop Resistant:00100c32b20c1101

Scan History

Scan history not available

Unable to load historical scan data