Security Scan Report: ftmofunders.com

Redirected to:
https://ftmofunders.com/app/#/pages/login/login
Site favicon
Submitted: Aug 10, 2026, 10:17:28 PMCompleted: Aug 10, 2026, 10:19:11 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is ftmofunders.com and was registered NaN years ago.

Submitted URL: https://ftmofunders.com/app/

Effective URL: https://ftmofunders.com/app/#/pages/login/loginRedirected

AI Security Verdict

Low Risk

Confidence: 60%

5
Risk Score

Heuristic analysis (AI unavailable): Standard risk profile

Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(36%)

Domain Information

The domain 'ftmofunders.com' uses the commercial generic top-level domain (.com) without a subdomain. Count 11 characters in 'ftmofunders' with three vowels and eight consonants. It segments into four words: ftm, of, under, s. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ftmofunders.com/app/

Page Load Overview

7.57s
Total Load Time
87
HTTP Requests
3
Domains
36 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:419 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
87156.67.28.227Lauterbourg, Grand Est, France
AS51167Contabo GmbH
871--

Page Statistics

87
Requests
3
Unique Domains
1.2 MB
Total Size

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB242A31A10D14A5B337C411A290EF1D6965F233C2920EADF79A362C8FC6FDB15A7B58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kBEMruhOicImgcaqTND1j8fxUyvD2zrJ05:4ETZmgcaqJDCf5ve9Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:216899:iSMaBQSUbCZpSSBJC5QFIhgDwhKqVCgMRFCHQkjgVAKDgalAgISBFkEZBwROABUmtKgsEQByDlFDNAIIod9MmJJAEhIYA0A0

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:e7e7e7e7e7e7e7e7
Perceptual Hash:b399663399996623
Difference Hash:4d4d4d4d4d4d4d4d
Wavelet Hash:c3c3c3c3c3c3c3c3
Color Hash:#931f3c

Scan History

Scan history not available

Unable to load historical scan data