Security Scan Report: www.tqi21.vercel.app

Redirected to:
https://8ns8mt0ynl.tosyretwohwouttrion.com/yjcsyfeg-hu7eearram-pbkwdwx...
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 6 domains to perform 42 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.tqi21.vercel.app/

Effective URL:
https://8ns8mt0ynl.tosyretwohwouttrion.com/yjcsyfeg-hu7eearram-pbkwdwx...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

Fake Adobe Acrobat Reader 'secured attachment' page served after a redirect to a random domain, flagged by Safe Browsing for social engineering and by two phishing feeds. Do not download or interact.

Risk Factors (7)
Google Safe Browsing Social Engineering detection
Multi-source phishing reputation on the scanned domain
Impersonation of Adobe Acrobat Reader branding on a non-Adobe domain
Redirect to an unrelated random registrable domain of unknown age
Fake 'Secured Remote Attachment' / 'DOWNLOAD ALL' document lure typical of malware or credential lures
Anti-analysis: DevTools and context-menu blocking
IDS HIGH alert (Spamhaus DROP inbound) and abused-cloud-hosting TLS/DNS signatures
Domain age information unavailable

Details

Page Title

Files

Scan Type

public

Domain Name Analysis

The domain 'www.tqi21.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.tqi21'. The core label 'vercel' covers 6 characters split between two vowels and four consonants. Segmentation suggests 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.tqi21.vercel.app/

Page Load Overview

0.96s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:244 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
56%
documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
464.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
485.11.167.134Amsterdam, North Holland, Netherlands
AS197170TechTies Inc.
4104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4210--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13432DA39E501E9BFC9279D85A036BF3E50CB919EC6A5C91CB3FCC61403928B94DA6CC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuzDn9xaxIQxjyOXOYQOxlLU6+roSMLtRCxC3qrg5FuhcgnqzbJmuY:4TuP/qIwJeYrxlLUH4LSxC3qr0oqXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11904:CMGKBQkgNHpRhOgFijhVCSAhOoiA0MCwAaiS2GCBoJgEAigQJCCjjAzGIwIJlHJMQkYmhVAAPRCDtIMyQFB1ooiTyxVwjhIA

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:00e3ff8181bfffff
Perceptual Hash:ff60405f4b591b62
Difference Hash:50060e2b2b710421
Wavelet Hash:00c3c7818189ffff
Color Hash:#40acbf

Scan History

Scan history not available

Unable to load historical scan data