Summary
API
This website contacted 10 IPs in 2 countries across 8 domains to perform 132 HTTP transactions. The main domain is betora.app and was registered 7 years ago.
Submitted URL: https://betora.app/prediction/germany-bundesliga/bayern-munchen-vs-sv-elversberg
AI Security Verdict
Safe Website
Confidence: 88%
Betora sports prediction page with email subscribe; no credential/payment forms, no Indicators of Compromise, YARA, or IDS hits. Gambling-related content but no malicious signals.
Safety Factors
Details
Page Title
SV Elversberg vs Bayern München Prediction, Lineups & Stats (13 Sept 2026) | Betora
Scan Type
public
Domain Name Analysis
The domain name 'betora.app' uses the application-focused generic top-level domain (.app) without a subdomain. Count 6 characters in 'betora' with 3 vowels and 3 consonants. Tokenizing the label suggests 2 words: be, tora. Median word length is 3 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 |
|---|---|---|---|
| 15 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 13 | 104.16.79.73Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 13 | 104.21.31.228Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 13 | 142.251.127.97Google · CDN | United States | AS15169Google LLC |
| 13 | 20.250.198.32Azure · CLOUD | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 13 | 52.167.81.85Azure · CLOUD | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 13 | 188.114.96.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 13 | 104.16.80.73Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 13 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 13 | 150.171.110.49Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 132 | 10 | - | - |
Detected Technologies4
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