Security Scan Report: codashop-ff-wen.vercel.app

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Submitted: Sep 26, 2026, 12:50:26 AMCompleted: Sep 26, 2026, 12:51:30 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Codashop Free Fire top-up page on a non-official vercel.app subdomain, impersonating the Codashop/Coda Payments brand and hosting a credential login form; treat as phishing.

Risk Factors (5)
Brand impersonation of Codashop on a non-official vercel.app subdomain
Credential-harvesting login form (email + password) on an impersonating domain
Single-source phishing threat-intel match on the primary domain
Unranked domain (not in Cisco Umbrella top 1M)
IDS alerts flagging the abused vercel.app hosting service
Domain age information unavailable

Details

Page Title

Top Up Free Fire | Latest Deals - Codashop

Scan Type

public

Domain Name Analysis

Domain 'codashop-ff-wen.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'codashop-ff-wen'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside 4 consonants. Segmentation suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://codashop-ff-wen.vercel.app

Page Load Overview

2.27s
Total Load Time
664 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,464 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media47% confidence
Type: webapp
Method: ml+structural

All Detected Categories

entertainment media
47%
technology software
28%
e-commerce shopping
27%

Detected Features

Login Form
Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
392--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B92BC70A5F984B341A380E2A9A55F0B7BC0EA17CA5B064072FC5BE41FE7D8BEC13559

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Bv4VBrmzJGzpE+FnZ1rPnZ1afznZ1xLnZ1NmnZ1JbrnZ12kznZ15QunZ1KEnZ1eo:kmVGzpE+FnZxPnZiznZfLnZjmnZXrnZb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19777:TURBAAkBDWGhJGookEoDMQBoKII4VrCBwrwISAEmAhBKjlpUUo7LEAjzYoEZBRgJOCVRrHOQ0ICIkgQaIphSRUHA0WC5wEMA

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:0018181818181818
Perceptual Hash:8c6666663399b399
Difference Hash:a1b3b3b3b3b3b3b3
Wavelet Hash:1919191919191919
Color Hash:#8440bf

Scan History

Scan history not available

Unable to load historical scan data