Summary
This website contacted 37 IPs in 2 countries across 10 domains to perform 117 HTTP transactions. The main domain is ups.com and was registered NaN years ago.
Submitted URL: https://www.ups.com/us/en/support/tracking-support/where-is-my-package/how-to-use-infonotice
AI Security Verdict
Safe Website
Confidence: 95%
The page appears to be a legitimate UPS support page with no security concerns.
Safety Factors
Details
Page Title
www.ups.com
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
You're looking at domain 'www.ups.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 3 characters in 'ups' with 1 vowel and 2 consonants. Word splitting yields one word: ups. Average segment length settles at 3 characters. 'ups' most often appears in Bosnian. Secondary signals appear in Danish and German. Taken together, it feels Bosnian with single-word simplicity.
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 |
|---|---|---|---|
| 9 | 23.35.237.156 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 23.36.162.207 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 13.33.187.58 | New York, New York, United States | AS16509AMAZON-02 |
| 3 | 23.36.162.206 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 3 | 23.206.209.118 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 69.192.160.133 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 23.206.209.165 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 3 | 23.35.232.134 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 117 | 37 | - | - |
Detected Technologies7
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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