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Security Scan Report: otkacess.vercel.app

Redirected to:
https://otkacess.vercel.app/
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Submitted: Aug 13, 2026, 12:45:27 AMCompleted: Aug 13, 2026, 12:48:10 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is otkacess.vercel.app and was registered NaN years ago.

Submitted URL: http://otkacess.vercel.app/

Effective URL: https://otkacess.vercel.app/Redirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site impersonates TikTok but lacks credential collection; treat as moderate risk and avoid providing personal data.

Risk Factors
Brand impersonation without legitimate branding
Unranked / low‑reputation subdomain
Unknown subdomain age
Safety Factors
No forms collecting credentials or payments
No JavaScript malware matches
No network IDS alerts
No external credential exfiltration observed
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

TikTok Rewards

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(94%)

Domain Information

Within the application-focused generic top-level domain (.app), 'otkacess.vercel.app' is registered with subdomain 'otkacess'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside 4 consonants. It segments into two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://otkacess.vercel.app/

Page Load Overview

2.64s
Total Load Time
17
HTTP Requests
4
Domains
0 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:120 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
94%
entertainment media
78%
technology software
42%
adult content
34%
government public service
29%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17216.198.79.3United States
AS16509Amazon.com, Inc.
171--

Page Statistics

17
Requests
4
Unique Domains
196.0 KB
Total Size

Detected Technologies2

Open-Graph-Protocolvwebsite
100%
jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145C2EA95741C02785E3B6729EAC6A32CA035B043AED6C421B04D0989EBD2FF525F9FD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Qzj35fHOQsAO8U5Q6nBOmEAUU/cxksc64Jysq7v5lpNt1:g9sMsnB7cxksc64Jysq7v5l/t1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27678:ka9AEQHWk0mNAhHUBUgC+kgYohgICChAWIiEIkEYhGTcSUBAEJ8FLihqKNAtMyxFUOCBqGC0iAICkKACjCORHgEgiiLSBNTT

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:0000000818000000
Perceptual Hash:993366cc993366cc
Difference Hash:0000081030080000
Wavelet Hash:3f3f3f3f18080000
Color Hash:#842d86

Other Hashes

Crop Resistant:0000081030080000

Scan History

Scan history not available

Unable to load historical scan data