Security Scan Report: newsroom.tiktok.com

Submitted: Dec 31, 2025, 10:55:40 PMCompleted: Dec 31, 2025, 10:57:09 PMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 10 domains to perform 70 HTTP transactions. The main domain is newsroom.tiktok.com and was registered NaN years ago.

Submitted URL: https://newsroom.tiktok.com/tiktok-reveals-the-top-artists-and-songs-of-2025?lang=en

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate TikTok newsroom page with low risk due to a minor external link to a flagged domain.

Risk Factors
External link to suspicious domain ttwstatic.com
Safety Factors
Official TikTok newsroom subdomain
High Cisco Umbrella ranking (506)
Domain age > 10 years (well‑established)
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

TikTok reveals the Top Artists and Songs of 2025 - Newsroom | TikTok

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(79%)

Domain Information

The domain name 'newsroom.tiktok.com' uses the commercial generic top-level domain (.com), featuring subdomain 'newsroom'. The core label 'tiktok' covers 6 characters split between two vowels and four consonants. Word splitting yields 2 words: tik, tok. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://newsroom.tiktok.com/tiktok-reveals-the-top-artists-and-songs-of-2025?lang=en

Page Load Overview

9.57s
Total Load Time
70
HTTP Requests
10
Domains
4.3 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:10,619 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network79% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
79%
entertainment media
77%
technology software
38%
news/blog
35%
adult content
31%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
132.16.168.12Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.16.168.4Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.22.50.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.16.168.7Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.20.245.177Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.16.168.8Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.216.77.36Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
395.101.27.168Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.36.162.196Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.16.168.104Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7020--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195241A8E7233182D48276457F50D7B0CB7A0DC5FF601BEBA66A90309AE625D740B626F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vU5009kvLF0M0TofcqdBttj/kYenlppCZETrd96/5fNPIQWLinchbvcODYbcOCB4:s60LdwxZYrd96/RNAqNrZF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:213018:KKjAchh1cYiDIwSdlhGJADgGwKEJZkCmQIEQCINgyhh4kEIEYggJRJYkGtwKBQlANIBgomAEGFQQoeUwKuAQAeUYvykjEkEQ

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:fffffbffffff0000
Perceptual Hash:bfc341d210b86f2d
Difference Hash:cc40233e3d2d1f86
Wavelet Hash:ffff819f9f810000
Color Hash:#862d5f

Scan History

Scan history not available

Unable to load historical scan data