Summary
API
This website contacted 34 IPs in 5 countries across 12 domains to perform 47 HTTP transactions. The main domain is socker.se and was registered 13 years ago.
Submitted URL: https://socker.se
AI Security Verdict
Safe Website
Confidence: 88%
Established 9-year-old Swedish nutrition site (Socker.se) with informational sugar/calorie content, self-branded, no forms capturing credentials or payment, and no threat-intel, YARA, or IDS hits. Legitimate.
Safety Factors (5)
Details
Page Title
Sugar - How much sugar the food contains
Scan Type
public
Domain Name Analysis
The domain name 'socker.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'socker' is 6 characters long with 2 vowels and four consonants. Breaking it apart gives two words: so, cker. 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 |
|---|---|---|---|
| 14 | 104.21.43.76Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 142.251.13.97Google · CDN | United States | AS15169Google LLC |
| 1 | 142.251.13.95Google · CDN | United States | AS15169Google LLC |
| 1 | 104.18.10.207Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 172.64.147.188Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 172.67.181.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 1 | 142.251.20.156Google · CDN | United States | AS15169Google LLC |
| 1 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 3.161.82.39Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 47 | 34 | - | - |
Detected Technologies11
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