Summary
This website contacted 14 IPs in 4 countries across 11 domains to perform 27 HTTP transactions. The main domain is ww1.789chan.org and was registered NaN years ago.
Submitted URL: http://789chan.org
Effective URL: https://ww1.789chan.org/Redirected
AI Security Verdict
Safe Website
Confidence: 72%
No malicious signals detected; site appears legitimate.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain name '789chan.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. Count 7 characters in '789chan' containing 1 vowel alongside 3 consonants, along with 3 digits. Tokenizing the label suggests two words: 789, chan. Average segment length settles at 3.5 characters. 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 | 87.230.98.78 | Germany | AS61157PlusServer GmbH |
| 1 | 87.248.119.252 | United Kingdom | AS203220Yahoo-UK Limited |
| 1 | 46.22.41.108 | Germany | AS61157PlusServer GmbH |
| 1 | 212.102.56.179 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 195.181.170.18 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 104.21.26.182Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 150.171.109.194Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 1 | 208.91.196.145 | British Virgin Islands | AS40034Confluence Networks Inc |
| 1 | 216.245.197.44 | Dallas, Texas, United States | AS46475Limestone Networks, Inc. |
| 27 | 14 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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