Security Scan Report: junrecharge.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 6 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: 60%

4
Risk Score

Unranked vercel.app subdomain showing an urgency-timer recharge/PhonePe-offer lure with a mobile-number field; no forms, malware, or threat-intel hits, so suspicious but not confirmed malicious.

Risk Factors (3)
Hosting-platform subdomain of unknown age with no reputation (unranked)
Countdown-timer offer lure consistent with fake recharge/reward solicitations
Solicits mobile number and network provider with no visible legitimate operator or brand of its own
Safety Factors (5)
No credential or payment forms exist on the page (0 forms, 0 password fields, 0 payment fields)
No threat-intelligence matches against the page or its loaded resources
No JavaScript malware patterns, obfuscated scripts, or credential exfiltration detected
No known malicious kit in the roster and no high-precision hunting-rule hits
Third-party scripts are limited to Facebook SDK/analytics — common and not malicious
Domain age information unavailable

Details

Page Title

My Recharge App

Scan Type

public

Domain Name Analysis

Domain 'junrecharge.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'junrecharge'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. Breaking it apart gives 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.97s
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

RequestsIP AddressLocationAS Autonomous System
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
234.212.194.100Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
2157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
136--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195D25F60AA88F05BF27B862E59D1E50835DDE60BFDF3085CF414D1508FC7E5E2A7A2A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hTLIfwBD2IrhssFAsPstmQu3Mu/of7W7KkPCel1kW0:2fwl2YmFG/ooKkJrj0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30339:s0sQGD2AAhdgD5OPLIWAiqcdkACjMdsosASQUGpAgBcKIMwVJbNKAQjQAQYFCEcChAsBAABEQ0dWKTASAgQuBg0iGRkAAQEN

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:#53a2ac

Scan History

Scan history not available

Unable to load historical scan data