Security Scan Report: jiolatest.vercel.app

Submitted: Sep 28, 2026, 4:50:03 PMCompleted: Sep 28, 2026, 4:50:39 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

jiolatest.vercel.app impersonates Jio with a fake recharge page and is flagged as phishing by two independent threat feeds; a throwaway vercel subdomain harvesting mobile numbers. Do not enter any details.

Risk Factors (5)
Brand impersonation of Jio on a non-official vercel.app domain
Multi-source corroborated phishing threat-intel match on the primary domain
Mobile-number capture form under a copied telecom brand identity
Instant/free PaaS subdomain with unknown true creation date
IDS alerts indicating abuse of the hosting provider by malicious actors
Domain age information unavailable

Details

Page Title

Jio - Best Prepaid, Postpaid Plans

Scan Type

public

Domain Name Analysis

You're looking at domain 'jiolatest.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'jiolatest'. The registrable portion 'vercel' spans 6 characters with two vowels and four consonants. Segmentation suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jiolatest.vercel.app/

Page Load Overview

0.54s
Total Load Time
454 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
464.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.3Aws · 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

T178C1A5B052F445AF90A3C651AEB2362B1FDEF123F51681007AAC49F10FC7D86D9A7298

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nCJ8GS8TRJnHIWfR1ZYcA4KCXRPow9ZehMOka0BWIHgrCwL:rGS6RJzp1acXKoeyOkE1rCwL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6070:UAEoAECgKgYILCQkhxQcjgAGRoACQgACAAIFwQOAXugQEjADMIkGIAAugQZiAYQCgAEAhk9CQKIC0IAIQhUKEEiJUMIpORwR

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