Security Scan Report: mmmm-nu-eight.vercel.app

Page Did Not Load

This site did not respond consistently during our scan — it may be intermittently unreachable, or refusing automated visitors. The screenshot and page details below show the page as it was captured.

Submitted: Sep 11, 2026, 12:45:33 AMCompleted: Sep 11, 2026, 12:50:17 AMpubliccompleted

AI Security Verdict

Not Assessed

This site blocked our scanner, so the page was never loaded and no AI security assessment could be performed. This is not a statement that the site is safe.

Anti-bot protection prevented the scan. Sites that block automated scanning cannot be assessed from their content — treat this result as "unknown", not "clean".

Details

Page Title

Transfer Trust Walletsecondary capture

Scan Type

public

Domain Name Analysis

The domain 'mmmm-nu-eight.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'mmmm-nu-eight'. The second-level label 'vercel' is 6 characters long split between 2 vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://mmmm-nu-eight.vercel.app/

Page Load Overview

75.29s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7 chars
Detector Agreement:0%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
64%
documentation technical
56%
e-commerce shopping
52%
adult content
40%
news media journalism
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131United States
AS16509Amazon.com, Inc.
0104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.3United States
AS16509Amazon.com, Inc.
23--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193310306FD915A0AB00355BA0DDFB17C397CE82783084D9C3D9CE5349F62BE979A3809

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hAhAANF6nvVmm53iWDqjWETr3u1QXa1QXpjNInCNInaJOWmkoRWAHJWL6OeZRl4G:GAAcVvcWWqO3uuaupjWCWaJ9mkowA4Lg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1465:AAAEACgAgAEAABATAABgAAAAAAAEAAgAEABQCkGAABEQAiAAAgAAAQAAAAAAEAAAAiAAAAACAAAACAAQAABDAAAABAAAwAAA

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:1818000000000018
Perceptual Hash:cc66cc66cc339933
Difference Hash:30300000000008b2
Wavelet Hash:1818383000003c3c
Color Hash:#d22d64

Other Hashes

Crop Resistant:30300000000008b2

Scan History

Scan history not available

Unable to load historical scan data