Summary
This website contacted 94 IPs in 5 countries across 26 domains to perform 978 HTTP transactions. The main domain is msn.com.
Submitted URL: https://bat.bing.com/
Effective URL: https://www.msn.com/de-deRedirected
The Cisco Umbrella rank of the primary domain is #22 of the top 1 million websitesTop 100 Site
AI Security Verdict
Details
Page Title
bat.bing.com
Scan Type
public
Language
German
Category
blog personal website
(86%)Domain Information
Domain 'bat.bing.com' uses the commercial generic top-level domain (.com) and includes subdomain 'bat'. Count 4 characters in 'bing' with one vowel and 3 consonants. Tokenizing the label suggests one word: bing. Average segment length settles at 4 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 |
|---|---|---|---|
| 442 | 184.24.77.37 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 257 | 2.18.64.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 109 | 92.123.104.62 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 44 | 204.79.197.203 | United States | AS8068MICROSOFT-CORP-MSN-AS-BLOCK |
| 13 | 2.18.64.209 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 104.46.162.225 | Melbourne, Victoria, Australia | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 11 | 172.66.148.140 | United States | AS13335CLOUDFLARENET |
| 10 | 92.123.104.49 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 23.52.180.153 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 10 | 104.20.47.80 | United States | AS13335CLOUDFLARENET |
| 978 | 94 | - | - |
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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