Security Scan Report: daskankontostand-5sd4ivs2u-mason-martins-projects.vercel.app

Submitted: Jul 18, 2026, 12:51:47 AMCompleted: Jul 18, 2026, 12:53:22 AMpubliccompleted

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Deployment Unavailable

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'daskankontostand-5sd4ivs2u-mason-martins-projects.vercel.app' is registered and includes subdomain 'daskankontostand-5sd4ivs2u-mason-martins-projects'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and 4 consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://daskankontostand-5sd4ivs2u-mason-martins-projects.vercel.app/

Page Load Overview

0.49s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service56% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
56%
news media journalism
56%
cryptocurrency blockchain
55%
healthcare medical
54%
real estate property
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1433142B745B1702EF33B88FE34E633646244911AC0960F59B658AFB8E2D7CA65123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7TZf0:TGi9ScnwEYTZf0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAEAAAAAgCAgAgAAIAADAASACAAAAAAgACAAUAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:3c3c3c24070f0f07
Color Hash:#d2932d

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data