ScanMalware.com

Security Scan Report: fanniemay.com

Redirected to: https://www.fanniemay.com/us/en/

Submitted: Mar 14, 2026, 5:14:02 AMCompleted: Mar 14, 2026, 5:14:57 AMpubliccompleted
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Summary

This website contacted 9 IPs in 5 countries across 9 domains to perform 33 HTTP transactions. The main domain is fanniemay.com and was registered NaN years ago.

Submitted URL: https://fanniemay.com

Effective URL: https://www.fanniemay.com/us/en/Redirected

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Site appears legitimate with no phishing, malware, or credential‑harvesting indicators.

Safety Factors
Well‑established domain with decades of registration
Meta tags consistent with the genuine brand
Only benign email/username form present
All external resources are standard CDNs and analytics providers
No redirects to suspicious or unrelated domains
Domain age information unavailable

Details

Page Title

fmstorefront

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce

(40%)

Domain Information

You're looking at domain 'fanniemay.com' on the commercial generic top-level domain (.com) while skipping any subdomain. Count 9 characters in 'fanniemay' containing four vowels alongside 5 consonants. Word splitting yields 2 words: fannie, may. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fanniemay.com

Page Load Overview

2.64s
Total Load Time
174
HTTP Requests
31
Domains
4.2 MB
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:10,172 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce40% confidence
Type: webapp
Method: structural

All Detected Categories

e-commerce
40%
forum
40%

Detected Features

Search
Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2220.101.86.199Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
19216.58.206.67United States
AS15169Google LLC
1923.75.64.194Prague, Prague, Czech Republic
AS16625Akamai Technologies, Inc.
1917.253.57.204Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
1954.76.9.40Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
19146.75.122.4Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
19142.251.141.66United States
AS15169Google LLC
1923.36.162.207Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1992.123.104.67Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1749--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16192E862286493B581D348C330DEB726791E502768518862FDFC8CDCAFC7DAB52E2B5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:iRWWkIQW6B266gWv2RWS2TDJrD+oo2RsXEQfTKipxNNtMGZLjnk6EE:i3t7oJbdN5j8E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21256:0KkMCQjKEaAASD0gKAWBQsCoBnQoAAIaASoD0SzFe6UgQRECZlIEDAgRRHY0FAYxwBi5gAQzCqATGBKAgCFAA5A4wFALAoSA

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:#934a1f

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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