Security Scan Report: junrecharge.vercel.app

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Submitted: Sep 28, 2026, 5:50:10 PMCompleted: Sep 28, 2026, 5:50:46 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

Free-hosting recharge page reusing PhonePe/Airtel branding with a countdown lure, but no credential or payment form, no Indicators of Compromise, and no malware — suspicious promo page, not confirmed phishing.

Risk Factors (4)
Generic recharge-offer page hosted on a free platform subdomain with unknown age
Use of PhonePe / Airtel brand names in offer copy on a domain unrelated to either brand
Countdown-timer urgency tactic typical of promotional scam lures
Unranked in Cisco Umbrella top 1M
Safety Factors (4)
No credential, password, or payment forms present in the captured DOM
No Indicators of Compromise matched against the page or its resources
No JavaScript malware (YARA) patterns and no credential exfiltration detected
No cross-origin form submission or cross-origin script data flow
Domain age information unavailable

Details

Page Title

My Recharge App

Scan Type

public

Domain Name Analysis

The domain name 'junrecharge.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'junrecharge'. The core label 'vercel' covers 6 characters split between two vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.05s
Total Load Time
523 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:173 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
53%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.3Aws · CLOUDUnited States
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2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
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2100.22.133.0Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
2157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
135--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106D24FA0AA44F05BF27B862E59D1E50835DDE60BFDF3085CF414D1508FC7E5E2ABA2A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:9YuULIfwBD2IrhssFAsPstmQu3Mu/of7W7KkPCel1kW0:fNfwl2YmFG/ooKkJrj0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30342:aBDiBCMDSwCxAEAjCRMaCKduiQwGQJmaaRgBEk4xNkGUNWmpACgEwKJiIQZnHOWUg0BwAZgWCdAQhJgHCpYAIgCARAA2lRBM

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:0f070fffffff001f
Perceptual Hash:933318e4ccce8c7b
Difference Hash:da9adaea8a804575
Wavelet Hash:0707070fff7f000f
Color Hash:#4d783a

Scan History

Scan history not available

Unable to load historical scan data