Summary
This website contacted 21 IPs in 2 countries across 22 domains to perform 128 HTTP transactions. The main domain is acrobat.adobe.com and was registered NaN years ago.
Submitted URL: https://adobefreeuserschannel.na4.documents.adobe.com
Effective URL: https://acrobat.adobe.com/us/en/Redirected
The Cisco Umbrella rank of the primary domain is #154 of the top 1 million websitesTop 1K Site
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Adobe redirect page with no security concerns.
Safety Factors
Details
Page Title
Adobe Acrobat
Scan Type
public
Language
English
Category
technology software
(55%)Domain Information
Domain 'adobefreeuserschannel.na4.documents.adobe.com' uses the commercial generic top-level domain (.com) and includes subdomain 'adobefreeuserschannel.na4.documents'. The registrable portion 'adobe' spans 5 characters holding three vowels versus two consonants. Word splitting yields one word: adobe. 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 |
|---|---|---|---|
| 33 | 142.250.110.84 | United States | |
| 14 | 34.160.81.0 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 14 | 18.235.168.50 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 14 | 2.16.168.107 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 23.36.162.197 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 172.66.0.163 | United States | AS13335CLOUDFLARENET |
| 14 | 13.33.187.74 | New York, New York, United States | AS16509AMAZON-02 |
| 14 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 52.35.253.84 | Unknown | Unknown |
| 14 | 23.36.162.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 313 | 21 | - | - |
Detected Technologies5
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
Scan history not available
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