Security Scan Report: junrecharge.vercel.app

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Submitted: Completed: publiccompleted

AI Security Verdict

Moderate Risk

Confidence: 58%

5
Risk Score

Unranked Vercel subdomain offering an urgent 'PhonePe recharge offer' with a countdown and mobile-number entry — uses another company's brand unaffiliated. No forms, malware or Indicators of Compromise were found, so treat as unverified offer spam, not confirmed phishing.

Risk Factors (4)
Free hosting subdomain with unknown creation date used for a financial-offer page
Unaffiliated use of the PhonePe brand in an incentive/offer ('Get New PhonePe Offers On Recharge')
Artificial urgency countdown timer pressuring users to act
Requests mobile-number details as part of a recharge offer of unverifiable origin
Safety Factors (5)
No credential, password or payment fields detected in the DOM
No Indicators of Compromise or content-malware matches against the page or its resources
No YARA JavaScript malware patterns and no known phishing kit in the roster
No cross-origin credential exfiltration and no cross-origin form submission
Only a small number of third-party scripts, from a commonly used host
Domain age information unavailable

Details

Page Title

My Recharge App

Scan Type

public

Domain Name Analysis

The domain 'junrecharge.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'junrecharge'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside four consonants. Splitting it apart reveals 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://junrecharge.vercel.app/

Page Load Overview

1.01s
Total Load Time
526 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

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564.29.17.67Aws · CLOUDUnited States
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2184.33.208.178Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
257.144.244.1Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, 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

T186D25060AA84F05BF27B862E59D1E50835DDE60BFDF3085CF414D1508FC7E5E2ABA2A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:fTLIfwBD2IrhssFAsPstmQu3Mu/of7W7KkPCel1kW0:wfwl2YmFG/ooKkJrj0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30354:nAMKJjAHiGqgwnI0BFnyGaoXACRICGRJnRAEcwvHFAEUyYEYkjHEAI8BbFoAQCggBJBxSksHJCgmQEwkKhHWRKCFPCimxCNQ

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:#d22dc5

Scan History

Scan history not available

Unable to load historical scan data