Security Scan Report: cjaeawaqav.vercel.app

Submitted: Sep 30, 2026, 1:45:58 PMCompleted: Sep 30, 2026, 1:47:00 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 80%

1
Risk Score

Vercel-hosted 404 error page with no content, no forms, no IoC and no impersonation. Two Suricata alerts are generic cloud-hosting reputation tags, not content evidence. Harmless.

Safety Factors (4)
No forms, no credential or payment fields, no data collection
No external domains contacted and no cross-origin scripts
No malware, phishing or IoC evidence on the page itself
Standard platform-generated 404 error page rather than authored content
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

You're looking at domain 'cjaeawaqav.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'cjaeawaqav'. The second-level label 'vercel' is 6 characters long split between 2 vowels and four consonants. It segments into two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cjaeawaqav.vercel.app/index.html

Page Load Overview

0.19s
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 technical53% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
53%
news media journalism
32%
healthcare medical
28%
government public service
28%
technology software
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15CF1EA9170613A3EF6338922189B511D313CE007FD275EDB998A85F09ADE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9POh8/QBFytD7uYj85rG7XOuT24gEcy5m:WuGh84BFy571oRWXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7956:4RcQAghhIQ4JAgAE0VYMjEm4gMWPYJRBDACAoCAzIFkACMLPzGHlwNGEGIoCAgGXggIAiAYGAmJvEAQQw0IdEgASQKahmRBT

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:3c3c3c24243c3c24
Color Hash:#4c2d86

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data