Security Scan Report: jiolatest.vercel.app

Submitted: Sep 21, 2026, 3:50:02 PMCompleted: Sep 21, 2026, 3:50:26 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Jio-branded recharge page on an unofficial vercel.app subdomain, with a multi-source phishing threat-intel match. Avoid interaction.

Risk Factors
Jio brand impersonation on a non-official domain
Multi-source phishing threat-intel match against the primary domain
Unranked shared-hosting subdomain with unknown creation date
Recharge/mobile-number collection on a lookalike domain
Network IDS alerts referencing an abused cloud hosting service
Domain age information unavailable

Details

Page Title

Jio - Best Prepaid, Postpaid Plans

Scan Type

public

Domain Name Analysis

The domain 'jiolatest.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'jiolatest'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. Word splitting yields 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://jiolatest.vercel.app/

Page Load Overview

2.50s
Total Load Time
453 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:176 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software50% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
50%
social media network
47%
download file sharing
30%
cryptocurrency blockchain
27%
entertainment media
25%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
82--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175C195B052B405AF9093C6569EB2332A1FDEF163F51681007AAC49F10FC7D96D9A7298

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nCJ8GS8TRJnHIWfR1ZYcA4KCXRPow9ZehMOka0BWIHgrCZ:rGS6RJzp1acXKoeyOkE1rCZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5947:UAEoAECgKgYYLCQkhxQcjgAGRoACQgACAAIFwQOAXugQAjADMIkGIAAugQRiAYQCgAEAhk9CQKIC0IAIQhUKMEiJUMIpOBwR

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data