Summary
This website contacted 45 IPs in 3 countries across 18 domains to perform 68 HTTP transactions. The main domain is nyc.teacherssupportnetwork.com and was registered NaN years ago.
Submitted URL: https://nyc.teacherssupportnetwork.com/
Effective URL: https://nyc.teacherssupportnetwork.com/Home.doRedirected
AI Security Verdict
High Risk
Confidence: 88%
High‑risk phishing site impersonating NYC public school teacher portal
Risk Factors
Details
Page Title
Welcome to the New York City Public Schools Teacher Application
Scan Type
public
Domain Information
Within the commercial generic top-level domain (.com), 'nyc.teacherssupportnetwork.com' is registered and includes subdomain 'nyc'. The registrable portion 'teacherssupportnetwork' spans 22 characters containing 7 vowels alongside 15 consonants. Splitting it apart reveals three words: teachers, support, network. Expect 7 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 16 | 172.203.220.128 | Washington, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 10 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 9 | 142.251.140.168 | United States | AS15169GOOGLE |
| 6 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 2.21.20.155 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 54.210.29.73 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 34.49.192.216 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 18.172.114.101 | United States | AS16509AMAZON-02 |
| 2 | 35.71.131.137 | United States | AS16509AMAZON-02 |
| 68 | 45 | - | - |
Detected Technologies4
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
Unable to load historical scan data