Security Scan Report: secure-page-editor--schoolfeesinabu.replit.app

Submitted: Sep 25, 2026, 6:50:14 AMCompleted: Sep 25, 2026, 6:50:49 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Replit-hosted placeholder, but the primary domain carries a multi-source phishing threat-intel hit tied to a 'school fees' naming pattern. Treat as high risk; do not enter any data.

Risk Factors
Content-malware phishing indicator on the primary domain (multi-source corroborated)
Hosted on a free/instant shared-hosting namespace where the apex age is not attributable to this page
Domain is unranked in Cisco Umbrella with no established reputation
Domain age information unavailable

Details

Page Title

This app isn't live yet

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'secure-page-editor--schoolfeesinabu.replit.app' is registered with subdomain 'secure-page-editor--schoolfeesinabu'. The registrable portion 'replit' spans 6 characters holding 2 vowels versus 4 consonants. Segmentation suggests two words: rep, lit. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://secure-page-editor--schoolfeesinabu.replit.app/

Page Load Overview

0.63s
Total Load Time
16 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,270 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software52% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
52%
finance banking
52%
healthcare medical
49%
cryptocurrency blockchain
49%
documentation technical
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
334.117.33.233Google · CDNKansas City, Missouri, United States
AS396982Google LLC
31--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158F153AA6FD63C505243C6B46BA5A1ECDF9DEC07C70AC971349C33588F8C7C8495E688

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TxKGZodxcFJ/CmjHYf+M6hfyORfmyjGrlIM6hfyORfmyjGrT:1KeuxcFdCm02MQfzf26MQfzf2T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8191:cYA05AAgQhRDgAYBMwiCFBIxEiAIQEURTJyEAMkhWJIEgANAUi0R8hCeAZEhxADa3IZQA/IUqeIAaYiBQAUvigBMAmRQBKkE

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:996666999933cccc
Difference Hash:0008103032300800
Wavelet Hash:30303838fcfcf0f0
Color Hash:#67931f

Other Hashes

Crop Resistant:0008103032300800

Scan History

Scan history not available

Unable to load historical scan data