Summary
This website contacted 15 IPs in 2 countries across 15 domains to perform 1 HTTP transaction. The main domain is developers.tiktok.com and was registered NaN years ago.
Submitted URL: https://developers.tiktok.com
The Cisco Umbrella rank of the primary domain is #506 of the top 1 million websitesTop 1K Site
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate TikTok developer site; no security concerns detected.
Safety Factors
Details
Page Title
TikTok for Developers
Scan Type
public
Language
English
Category
social media network
(71%)Domain Information
The domain name 'developers.tiktok.com' uses the commercial generic top-level domain (.com), featuring subdomain 'developers'. Count 6 characters in 'tiktok' split between two vowels and four consonants. It segments into two words: tik, tok. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 14 | 2.16.10.80 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 2.16.10.81 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 184.24.77.36 | United States | Unknown |
| 11 | 23.36.163.11 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 23.36.162.217 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 23.36.162.220 | United States | Unknown |
| 11 | 23.36.162.202 | United States | Unknown |
| 11 | 184.24.77.42 | United States | Unknown |
| 11 | 2.16.164.34 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 23.50.131.221 | United States | Unknown |
| 168 | 15 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data