Summary
This website contacted 10 IPs in 2 countries across 13 domains to perform 38 HTTP transactions. The main domain is brianabarberc.pages.dev and was registered NaN years ago.
Submitted URL: https://brianabarberc.pages.dev/rwzhy-social-security-increase-2025-colab-mpohb/
AI Security Verdict
High Risk
Confidence: 88%
Impersonates Social Security on an unranked domain; high risk phishing.
Risk Factors
Details
Page Title
Social Security Increase 2025 Colab - Brian A Barber
Scan Type
public
Language
English
Category
news/blog
(60%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'brianabarberc.pages.dev' is registered and includes subdomain 'brianabarberc'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside three consonants. Splitting it apart reveals one word: pages. Expect five 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 |
|---|---|---|---|
| 10 | 104.18.38.162 | United States | AS13335CLOUDFLARENET |
| 3 | 172.66.44.172 | United States | AS13335CLOUDFLARENET |
| 3 | 104.26.0.222 | United States | AS13335CLOUDFLARENET |
| 3 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 3 | 92.204.80.11 | Strasbourg, Grand Est, France | AS21499Host Europe GmbH |
| 3 | 142.250.186.182 | United States | AS15169GOOGLE |
| 3 | 104.21.18.46 | United States | AS13335CLOUDFLARENET |
| 3 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 3 | 192.0.66.204 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 37 | 10 | - | - |
Detected Technologies12
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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