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Security Scan Report: secure.fundsupermart.com

Redirected to: https://secure.fundsupermart.com/fsmone/stocks/factsheet/NASDAQ.VNDA

Submitted: Oct 10, 2025, 3:51:40 AMCompleted: Oct 10, 2025, 3:53:13 AMpubliccompleted
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Summary

This website contacted 19 IPs in 2 countries across 8 domains to perform 93 HTTP transactions. The main domain is secure.fundsupermart.com and was registered NaN years ago.

Submitted URL: https://secure.fundsupermart.com/fsm/stocks/factsheet/NASDAQ.VNDA/Vanda-Pharmaceuticals

Effective URL: https://secure.fundsupermart.com/fsmone/stocks/factsheet/NASDAQ.VNDARedirected

The Cisco Umbrella rank of the primary domain is #576,154 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No forms collecting sensitive data
Official brand representation
Domain age information unavailable

Details

Page Title

FSMOne Singapore - Formerly Fundsupermart.com (FSM)

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

e-commerce shopping

(37%)

Domain Information

The domain name 'secure.fundsupermart.com' uses the commercial generic top-level domain (.com), featuring subdomain 'secure'. The core label 'fundsupermart' covers 13 characters containing four vowels alongside 9 consonants. Splitting it apart reveals three words: fund, super, mart. Average segment length settles at four characters. Most frequently, 'fund' shows up in Albanian. It also appears in Romanian and German contexts. Net impression: Albanian phrase.

Screenshot

Security scan screenshot of https://secure.fundsupermart.com/fsm/stocks/factsheet/NASDAQ.VNDA/Vanda-Pharmaceuticals

Page Load Overview

39.35s
Total Load Time
93
HTTP Requests
8
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
HTML Lang Attribute:en
Text Length:51 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
37%
healthcare medical
28%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21146.75.121.140Frankfurt am Main, Hesse, Germany
AS54113FASTLY
4104.17.6.193United States
AS13335CLOUDFLARENET
423.212.219.36Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
423.212.222.251Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
4104.16.174.226United States
AS13335CLOUDFLARENET
423.48.23.55Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
42a02:26f0:3500:3::b818:4d2fUnited StatesUnknown
423.48.23.63United StatesUnknown
42606:4700::6810:afe2United StatesUnknown
4104.16.175.226United StatesUnknown
9319--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198E1B553AD04A83A9720819FF027BA4DD675694AD020CCD7B5CD979E2FE8E89C073739

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:dOko8s4b0qsHqM0Kl3/PpEMHL+S/ftfMqnljSN3j:vBs4wqM0KPSMHBLi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7125:AATJGDAgFZoIkkFEQBIYKIzFGsNyACjCEhAgtCGVBmxAhAcAgRSAAosSoAogAFJoDEJCRgA3hSAYhiFgQKo0ECmSTJAkAVAI

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#78663a

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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