Security Scan Report: getstarted.tiktok.com

Redirected to: https://getstarted.tiktok.com/na-retail?lang=en-US

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Submitted: Dec 11, 2025, 1:55:44 PMCompleted: Dec 11, 2025, 1:57:49 PMpubliccompleted
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Summary

This website contacted 113 IPs in 2 countries across 25 domains to perform 267 HTTP transactions. The main domain is getstarted.tiktok.com and was registered NaN years ago.

Submitted URL: https://getstarted.tiktok.com/na-retail

Effective URL: https://getstarted.tiktok.com/na-retail?lang=en-USRedirected

The Cisco Umbrella rank of the primary domain is #506 of the top 1 million websitesTop 1K Site

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Page appears to be a phishing scam harvesting credentials despite using a legitimate TikTok domain.

Risk Factors
Disguised password fields are a critical phishing indicator
External malicious domain (ttwstatic.com) linked from the page
Unicode evasion used to obscure form fields
Hidden password field suggests credential harvesting
Domain age information unavailable

Details

Page Title

TikTok for Business | Advertising Products and Marketing Solutions

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(78%)

Domain Information

You're looking at domain 'getstarted.tiktok.com' on the commercial generic top-level domain (.com), featuring subdomain 'getstarted'. Its registrable label 'tiktok' stretches across 6 characters holding two vowels versus 4 consonants. It segments into 2 words: tik, tok. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://getstarted.tiktok.com/na-retail

Page Load Overview

47.70s
Total Load Time
267
HTTP Requests
25
Domains
7.5 MB
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
Text Length:10,235 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
78%
social media network
57%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4323.50.131.218Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2184.24.77.44Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2184.24.77.76Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2184.24.77.75Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.50.131.196Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22.22.50.139Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
295.100.110.5Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2184.24.77.82Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.207.210.155Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22.16.168.10Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
267113--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9F3B62194211C3B26BBCEE771F2232970B3A28DDC520944FBDC47E657D9C58FA2758A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FC1sKwlfLozNOoeSZyPlCUr07dP2me0dc2/bO9H2cISq+gUYXV2s5KHOwi4LmOO4:FC1LUbmdO2itxYX95KaTU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:172934:aQQEQBCgLUHHbEVJpq0RkZvAgEGvIV1ACVVxSQBIYgE7SIISCewQkQoA4kAIsRCkBMEUSDwRAMIoDIA0QAqCShmJskWzIqIH

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:ffff0004040404ff
Perceptual Hash:92eded92c612196d
Difference Hash:001798cccccccc96
Wavelet Hash:ffff000404046eff
Color Hash:#53a2ac

Scan History

Scan history not available

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