Summary
This website contacted 15 IPs in 3 countries across 11 domains to perform 22 HTTP transactions. The main domain is zacharyclevien.pages.dev and was registered NaN years ago.
Submitted URL: https://zacharyclevien.pages.dev/dhocl-social-security-award-letter-2025-lfbha/
AI Security Verdict
High Risk
Confidence: 78%
Impersonates Social Security award letters on an unranked personal domain; likely phishing.
Risk Factors
Details
Page Title
Social Security Award Letter 2025 - Zachary C. Levien
Scan Type
public
Language
BN
Category
cryptocurrency blockchain
(71%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'zacharyclevien.pages.dev' is registered; it also runs on subdomain 'zacharyclevien'. Count 5 characters in 'pages' with 2 vowels and three consonants. Breaking it apart gives one word: pages. Expect 5 characters per word on average. 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 |
|---|---|---|---|
| 8 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 216.58.210.129 | United States | AS15169GOOGLE |
| 1 | 23.53.42.248 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 104.21.69.200 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.212.207 | United States | AS13335CLOUDFLARENET |
| 1 | 184.24.77.19 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 184.24.77.14 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 137.200.40.10 | Baltimore, Maryland, United States | AS11985ASN-SSA |
| 1 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 22 | 15 | - | - |
Detected Technologies3
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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