Security Scan Report: otkacess.vercel.app

Bot Protection Detected

This website is protected by captcha bot protection. The screenshot and page details below show the page as it was captured.

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Submitted: Sep 4, 2026, 1:47:03 PMCompleted: Sep 4, 2026, 1:50:06 PMpubliccompleted

Summary

This website contacted 16 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is otkacess.vercel.app and was registered 14 years ago.

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

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Page impersonates TikTok brand without collecting credentials; moderate risk due to brand misuse and unverified phishing flag.

Risk Factors
Brand impersonation without matching domain
Unverified phishing indicator from threat‑intel
Unknown subdomain age on shared hosting
Domain age information unavailable

Details

Page Title

TikTok Rewards

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(94%)

Domain Information

You're looking at domain 'otkacess.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'otkacess'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Segmentation suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.41s
Total Load Time
47
HTTP Requests
8
Domains
609 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.
223.53.1.134Marseille, Provence-Alpes-Côte d'Azur, France
AS20940Akamai International B.V.
223.53.1.135Marseille, Provence-Alpes-Côte d'Azur, France
AS20940Akamai International B.V.
264.29.17.3United States
AS16509Amazon.com, Inc.
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.12.82Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.7.183Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
223.53.1.144Marseille, Provence-Alpes-Côte d'Azur, France
AS20940Akamai International B.V.
4716--

Page Statistics

47
Requests
8
Unique Domains
935.7 KB
Total Size

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F5175679510C42D12F961A2E8597448C6F9770FE7856C80F91C13FE1DBAFE2C0A7A2A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:PzvYs7Rbxzjs4HmPolraTXraT0HmfetHmehCONaNKGJ4LN9wKZTXFt00Y1y1t:PTHzjFH3snHpHhC3qdZTM2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2612:chAEAoABABAAQYgwAAAAsQAIAABAAACAgIARAAEAUQAAhBMIABAAAAQAAIRCAEAQAAQBCEAACAAAAgSAAAAgAIIQYAAAACIB

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:#1f9353

Other Hashes

Crop Resistant:0000081030080000

Scan History

Scan history not available

Unable to load historical scan data