Security Scan Report: robl.vercel.app

Submitted: Jul 3, 2026, 4:52:10 PMCompleted: Jul 3, 2026, 4:53:49 PMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is robl.vercel.app and was registered NaN years ago.

Submitted URL: https://robl.vercel.app/

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Google Safe Browsing flags this Vercel subdomain as a social engineering site; treat as high‑risk phishing.

Risk Factors
Unknown subdomain age on a hosting platform
Highly obfuscated JavaScript (base64, unescape, excessive concatenation)
Medium severity IDS alert indicating suspicious activity
Domain age information unavailable

Details

Page Title

robl.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

Domain 'robl.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'robl'. The second-level label 'vercel' is 6 characters long with 2 vowels and four consonants. Splitting it apart reveals two 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://robl.vercel.app/

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:741 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
56%
adult content
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3United States
AS16509Amazon.com, Inc.
054.192.35.3Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
023.207.210.74Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
023.207.210.79Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02.16.164.99Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0142.251.110.97Google · CDNUnited States
AS15169Google LLC
023.207.210.96Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
018.66.147.43Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0216.239.32.178Google · CDNUnited States
AS15169Google LLC
19--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B048F77329A063986558498E05B830D9F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:u/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsP0dONPHfLJxcQ2JM2bMy8Oldq:vhoC9JSqzzbs6okSjggcpsb2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187888:tAEgAEmcCEKJG6CISBAW2UgBEG4QuQAQFiQioJJhKAAAiQGkVAYUAKZKHUA513AVCjEBjQWwEGEjRAySUDWMECcAFbFkBLKA

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:2f0f0707c0fcf0f0
Color Hash:#ac6ce0

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data