Security Scan Report: acesscassh.netlify.app

Redirected to:
https://acesscassh.netlify.app/
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Submitted: Completed: publiccompleted
This website contacted 23 IPs in 4 countries across 10 domains to perform 117 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://acesscassh.netlify.app/resgatar/

Effective URL:
https://acesscassh.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake 'TikTok Rewards' payout page on a netlify.app subdomain using a self-drawn counterfeit reCAPTCHA gate — brand impersonation and reward-scam funnel; no forms on the captured page.

Risk Factors (5)
Impersonation of TikTok's brand on a domain TikTok does not own
Fake reCAPTCHA checkbox rendered without any reCAPTCHA script or frame
Reward/payout lure naming Cash App, PayPal, Venmo and Zelle
Conversion-tracking and affiliate-network scripts on a page claiming to be a social platform's rewards program
Unranked shared-hosting subdomain
Domain age information unavailable

Details

Page Title

TikTok Rewards

Scan Type

public

Domain Name Analysis

You're looking at domain 'acesscassh.netlify.app' on the application-focused generic top-level domain (.app), featuring subdomain 'acesscassh'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus 5 consonants. Segmentation suggests 3 words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

© security Verification G reCAPTCHA I'm not a robot Protected by reCAPTCHA : Privacy -Tetms

Page Load Overview

0.79s
Total Load Time
2.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:119 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network95% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
95%
entertainment media
78%
technology software
47%
adult content
36%
government public service
34%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
763.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
535.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
531.25.12.21Google · CLOUDSwitzerland
AS396982Google LLC
52.18.244.23Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
5104.26.11.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.251.20.97Google · CDNUnited States
AS15169Google LLC
5104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5216.239.34.36Google · CDNUnited States
AS15169Google LLC
5104.26.10.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
523.50.131.221Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11723--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17903C756BC4801246D3B5669AA97B3BCB835B003EE81CC35B04C2659EFC3FF615E5E58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:m859WzqXO5fHOFiIq5LNI7O8U5Q6nBOmEAUU/cxksc64Jysq7v5zsAJT:Ch5LNisnB7cxksc64Jysq7v5zDJT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38110:rhBkAwToFkXjAlHIClA2YAowUAAioABBhGigYpn4SiBEFgAIEoSNARAQBgoWTxyUUkCDRwOASdwhWAIJ0Kk6R0zJghGgJEQQ

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:ffffe7e7ffe7ffff
Perceptual Hash:b333cccc893333cc
Difference Hash:0010080800080000
Wavelet Hash:f0f0f0e0e0e0f0f0
Color Hash:N/A

Other Hashes

Crop Resistant:0010080800080000

Scan History

Scan history not available

Unable to load historical scan data