Security Scan Report: tensortuk.pages.dev

Site favicon
Submitted: Completed: publiccompleted
This website contacted 40 IPs in 4 countries across 27 domains to perform 52 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://tensortuk.pages.dev/post/danish-sait-wiki/

AI Security Verdict

Moderate Risk

Confidence: 68%

4
Risk Score

Auto-generated celebrity/scraper content farm on a free pages.dev subdomain. No phishing form, no malware, no Indicators of Compromise — spam-quality content only, not a credential or payment threat.

Risk Factors (3)
Low-quality scraped/auto-generated content farm with no original authorship
Free hosting-platform subdomain with unverifiable page age
Third-party ad server script loaded on a spam content page
Safety Factors (5)
No Indicators of Compromise matched against the page or its resources
No JavaScript malware (YARA) patterns and no known malicious kit in the roster
No credential, password or payment fields present — no phishing form
No cross-origin credential submission or credential exfiltration detected
Brand strings present are scraped article text, not impersonation; page self-brands as 'Textengo'
Domain age information unavailable

Details

Page Title

Danish Sait Wiki - Top keywords % of search traffic. - Textengo

Scan Type

public

Domain Name Analysis

The domain 'tensortuk.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'tensortuk'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside three consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tensortuk.pages.dev/post/danish-sait-wiki/

Page Load Overview

80.12s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,069 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
68%
adult content
46%
social media network
41%
news media journalism
36%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.64.147.39Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1213.165.247.112United States
AS22611InMotion Hosting, Inc.
1159.89.171.221Bengaluru, Karnataka, India
AS14061DigitalOcean, LLC
1162.159.153.247Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.192.174Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
5240--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17ED22A0756D50837930207513726BF6CD803841EE3574BADB51EB1ADFB47AA28A3FAB4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:SJlPiKW40+dWZsiDGCIuy/bgH4JYJ1/0yYyLnaS27v6K6JH2DyEFgx2kicnc:SJFiKW40+EZsiDGCIuyDgH4JYJ1/0yYZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29128:60EDKAghMagCriGgvdAjhITSsSFxIFiZggAYGKvGiF1oiQcAQHlAADx0MGEAAHS8NDAbTEI0JZeDIFCUigJyTQyGEDmoRQgp

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:ffcf8787c7cbefef
Perceptual Hash:b83ac7cc38c7c730
Difference Hash:383c3a1e9e961e1c
Wavelet Hash:9e8f838383c3c3c7
Color Hash:#40bf5e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data