Summary
This website contacted 299 IPs in 14 countries across 231 domains to perform 965 HTTP transactions. The main domain is op.gg.
Submitted URL: https://op.gg/
The Cisco Umbrella rank of the primary domain is #84,668 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 92%
Legitimate site, but the current 403 error and redirect chain warrant caution.
Risk Factors
Safety Factors
Details
Website Access Blocked
This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.
Page Title
ERROR: The request could not be satisfied
Scan Type
public
Language
English
Category
technology software
(68%)Domain Information
Within the .gg country-code top-level domain, 'op.gg' is registered. The registrable portion 'op' spans 2 characters with 1 vowel and 1 consonant. Word splitting yields 1 word: op. Median word length is two 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 |
|---|---|---|---|
| 71 | 172.111.38.111 | Washington, District of Columbia, United States | AS63023AS-GLOBALTELEHOST |
| 3 | 80.82.210.217 | Solingen, North Rhine-Westphalia, Germany | AS24961WIIT AG |
| 3 | 18.66.102.69 | United States | AS16509AMAZON-02 |
| 3 | 52.211.159.185 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 37.157.5.84 | Denmark | AS198622Adform A/S |
| 3 | 51.38.30.15 | France | AS16276OVH SAS |
| 3 | 2.19.126.142 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 3.69.90.204 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 3 | 188.166.203.175 | Amsterdam, North Holland, Netherlands | AS14061DIGITALOCEAN-ASN |
| 3 | 77.243.51.121 | Aalborg, North Denmark, Denmark | AS42697Netic A/S |
| 965 | 299 | - | - |
Detected Technologies3
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
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