Summary
This website contacted 31 IPs in 4 countries across 10 domains to perform 127 HTTP transactions. The main domain is moft.us and was registered NaN years ago.
Submitted URL: https://www.moft.us/blogs/news/iphone-17-rumors?srsltid=AfmBOoqdFO6o8Wz4rbRf4PjmBd7nYs7slaUmbSDxeIJk2WAoFoRp28R9
The Cisco Umbrella rank of the primary domain is #964,138 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 85%
Legitimate news article about iPhone 17; low risk.
Safety Factors
Details
Page Title
iPhone 17 Rumors: Everything We Know So Far – MOFT
Scan Type
public
Language
English
Category
documentation technical
(38%)Domain Information
You're looking at domain 'www.moft.us' on the United States country-code top-level domain (.us); it also runs on subdomain 'www'. The core label 'moft' covers 4 characters holding one vowel versus three consonants. Breaking it apart gives 3 words: m, of, t. The median word length lands at 1 character. 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 |
|---|---|---|---|
| 94 | 23.227.38.74 | Ottawa, Ontario, Canada | AS13335CLOUDFLARENET |
| 15 | 23.227.39.200 | Ottawa, Ontario, Canada | AS13335CLOUDFLARENET |
| 6 | 185.172.148.132 | Germany | AS44239proinity GmbH |
| 4 | 172.64.145.29 | United States | AS13335CLOUDFLARENET |
| 4 | 2a0b:4d07:101::1 | Switzerland | AS44239proinity GmbH |
| 4 | 2620:127:f00e:ff01:: | Canada | AS13335CLOUDFLARENET |
| 4 | 2600:9000:213f:7000:f:8ce2:fb80:93a1 | United States | AS16509AMAZON-02 |
| 4 | 2600:9000:2130:6000:f:8ce2:fb80:93a1 | United States | AS16509AMAZON-02 |
| 4 | 2606:4700:4405::ac40:911d | United States | AS13335CLOUDFLARENET |
| 4 | 54.192.35.127 | United States | AS16509AMAZON-02 |
| 127 | 31 | - | - |
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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