Security Scan Report: junrecharge.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 4 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Unverified recharge promo on a free vercel.app subdomain that references PhonePe offers with a countdown timer, but shows no forms, no credential capture and no threat-intel or malware matches — suspicious marketing, not a confirmed scam.

Risk Factors (3)
Promotional 'PhonePe Offers' claim on an unrelated third-party recharge page without any stated affiliation or disclosure
Countdown timer ('Special Offer Ends In: 15:00') creating artificial urgency
Content hosted on a free shared platform subdomain where operator identity and creation date cannot be verified
Safety Factors (5)
No credential, login or payment form present (0 forms, 0 password fields, 0 payment fields)
No threat-intelligence Indicators of Compromise against the page or its loaded resources
No YARA/JavaScript malware patterns and no known phishing kit in the roster
No cross-origin credential exfiltration; external scripts limited to Facebook SDK
No fake login or brand-logo impersonation page structure — page presents its own 'My Recharge App' / junrecharge identity
Domain age information unavailable

Details

Page Title

My Recharge App

Scan Type

public

Domain Name Analysis

You're looking at domain 'junrecharge.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'junrecharge'. Count 6 characters in 'vercel' split between 2 vowels and four consonants. It segments into 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.33s
Total Load Time
527 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
5216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
252.39.70.65Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
2157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
264.29.17.131Aws · 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

T1DED25060AA88F05BF27B862E59D1E50835DDE60BFDF3085CF414D1508FC7D5E2A7A2A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:QTLIfwBD2IrhssFAsPstmQu3Mu/of7W7KkPCel1kW0:Zfwl2YmFG/ooKkJrj0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30339:ofmQWRAUWB1EAJGLIIQkoI5dh1GgJVuoUlCQEFgUABFAEGQmpJtEAADBhAUBCEUCgA8XAwhUA0P6IZAIeDA4iQEiFQEQQUCe

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:#d279cc

Scan History

Scan history not available

Unable to load historical scan data