ScanMalware.com

Security Scan Report: fit-red-majbifpev5-9t2lp1abgd.edgeone.app

Submitted: Apr 11, 2026, 5:57:20 PMCompleted: Apr 11, 2026, 5:58:50 PMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 1 HTTP transaction. The main domain is fit-red-majbifpev5-9t2lp1abgd.edgeone.app and was registered NaN years ago.

Submitted URL: https://fit-red-majbifpev5-9t2lp1abgd.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: 78%

3
Risk Score

The site shows low risk overall: no forms or malicious indicators, but unknown subdomain age and high JS obfuscation suggest caution.

Risk Factors
Unknown subdomain age
High JavaScript obfuscation and use of eval()
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment collection forms
No Indicators of Compromise detected
No JavaScript malware YARA matches
No IDS/Suricata alerts
Domain age information unavailable

Details

Page Title

Subscriber Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(43%)

Domain Information

You're looking at domain 'fit-red-majbifpev5-9t2lp1abgd.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'fit-red-majbifpev5-9t2lp1abgd'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fit-red-majbifpev5-9t2lp1abgd.edgeone.app/

Page Load Overview

5.75s
Total Load Time
128
HTTP Requests
8
Domains
9 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:132 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking43% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
43%
documentation technical
41%
healthcare medical
31%
news media journalism
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2813.205.59.42Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
2565.8.131.101United States
AS16509Amazon.com, Inc.
2513.203.250.23United States
AS16509
2518.244.18.126United States
AS16509Amazon.com, Inc.
2543.152.26.58Singapore
AS139341ACE
1285--

Detected Technologies1

Razorpay
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136919726A953095145A3A2A47E73830C3316C003AD0598583EEC72ACCFCFFAB95B779D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBrWC1y1mXFiiwZmPA+EE+686fj0mUksZqsGQC/CdZDWRAT:VrWC1yAXFii4mI+EEFj0ZksZqsHTqq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4492:AC0RgoWMhgAAhAEIAEhoEUAMAAJoCAgAAHCIgGCAABkICQIAYGEAgAABEKESgDAAAAgACGEC+AFqYAQJCQ1BQAgBFACAeELA

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:ffffffffa7e7ffff
Perceptual Hash:b389cc6633996666
Difference Hash:000008324c0c1000
Wavelet Hash:0f0f1f1f041c0c0c
Color Hash:#2d8643

Other Hashes

Crop Resistant:000008324c0c1000

Scan History

Scan history not available

Unable to load historical scan data