Security Scan Report: moz-extensionkeplrr-pudgbhnp-avds-projects-gnhfnp-avds-projects.vercel.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://moz-extensionkeplrr-pudgbhnp-avds-projects-gnhfnp-avds-projects.vercel.app/

AI Security Verdict

High Risk

Confidence: 0%

7
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Domain Name Analysis

The domain name 'moz-extensionkeplrr-pudgbhnp-avds-projects-gnhfnp-avds-projects.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'moz-extensionkeplrr-pudgbhnp-avds-projects-gnhfnp-avds-projects'. The registrable portion 'vercel' spans 6 characters with 2 vowels and 4 consonants. Segmentation suggests 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://moz-extensionkeplrr-pudgbhnp-avds-projects-gnhfnp-avds-projects.vercel.app/

Page Load Overview

0.13s
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 service57% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
57%
cryptocurrency blockchain
56%
news media journalism
55%
healthcare medical
54%
real estate property
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB3174B745B1702EF23B88FE34E637686244D51BC0920F59F618EBF8E2C7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7oB0:nGi9ScnwEYoB0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAIAAEAACYAAIAACAAAAAAICAAIAAAAAIIEQBQAAAAgABAIAACAAAAAIECAAAAABAwEAAAgAAQAEAAQIAAMAAAAAQAA

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:e699999966999989
Difference Hash:0000000c0c00000c
Wavelet Hash:0c0c3c24273f3f27
Color Hash:07000000000

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data