Security Scan Report: bqwn86gkrn-h28n.vercel.app

Submitted: Sep 30, 2026, 1:46:05 PMCompleted: Sep 30, 2026, 1:47:14 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 75%

1
Risk Score

Dead Vercel deployment returning a standard 404 error page. No forms, no brand impersonation, no malware or threat-intel hits; the only alerts are generic 'abused hosting' signatures. Nothing malicious here.

Safety Factors (4)
No credential or payment collection on the page
No brand impersonation — page displays only platform error text and no third-party brand
No threat-intelligence matches, no JavaScript malware, no obfuscated or behavioral sink
Static error page with no interactive functionality beyond navigation buttons
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'bqwn86gkrn-h28n.vercel.app' is registered, featuring subdomain 'bqwn86gkrn-h28n'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside four consonants. Segmentation suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bqwn86gkrn-h28n.vercel.app/

Page Load Overview

0.20s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
cryptocurrency blockchain
33%
news media journalism
32%
technology software
31%
healthcare medical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.131Aws · CLOUDUnited 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

T15BF1E99170613A3FF6338922189B511D313CE006ED275ECA998A85F09EDE5E33A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9POh8/QBFytD7uYjv5AG7XOuT24gEcy5m:WuGh84BFy5717+WXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7956:4xcQAghhIQ4LAgAE0VYIjEm4gMWPYJRBDACAoCAzIFkACMLPzGXlwFGEGIoCAgGXggIAiAYGAmJvEAQQwkIdFgASQKahkRBT

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:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce4243c3820
Color Hash:#865c2d

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data