Summary
This website contacted 122 IPs in 3 countries across 33 domains to perform 82 HTTP transactions. The main domain is investorshangout.com and was registered NaN years ago.
Submitted URL: https://investorshangout.com/sysco-corporation-set-to-reveal-q1-fy-2026-financials-soon-414456-/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate informational article with no security concerns.
Safety Factors
Details
Page Title
Sysco Corporation Set to Reveal Q1 FY 2026 Financials Soon - Investors Hangout
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
Domain 'investorshangout.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'investorshangout' stretches across 16 characters with six vowels and 10 consonants. It segments into two words: investors, hangout. The median word length lands at 8 characters. 'investors' most often appears in English. You will also see it in Chinese (Pinyin) and Breton contexts.
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 |
|---|---|---|---|
| 82 | 3.171.214.60 | United States | AS16509AMAZON-02 |
| 0 | 3.123.181.193 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 0 | 104.18.12.146 | United States | AS13335CLOUDFLARENET |
| 0 | 3.174.46.42 | United States | AS16509AMAZON-02 |
| 0 | 67.202.105.33 | United States | AS32748STEADFAST |
| 0 | 69.16.229.65 | United States | AS32244LIQUIDWEB |
| 0 | 172.67.149.20 | United States | AS13335CLOUDFLARENET |
| 0 | 94.130.203.123 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 0 | 104.20.22.97 | United States | AS13335CLOUDFLARENET |
| 0 | 216.239.34.36 | United States | AS15169GOOGLE |
| 82 | 122 | - | - |
Detected Technologies8
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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