Summary
This website contacted 18 IPs in 2 countries across 19 domains to perform 59 HTTP transactions. The main domain is archertabrahams.pages.dev and was registered NaN years ago.
Submitted URL: https://archertabrahams.pages.dev/qbngm-social-security-income-tax-limit-2025-calendar-gkipq/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate informational page with no security concerns.
Safety Factors
Details
Page Title
Social Security Income Tax Limit 2025 Calendar - Archer T. Abrahams
Scan Type
public
Language
English
Category
healthcare medical
(49%)Domain Information
You're looking at domain 'archertabrahams.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'archertabrahams'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus 3 consonants. Word splitting yields one word: pages. 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 | 104.26.5.18 | United States | AS13335CLOUDFLARENET |
| 3 | 167.114.50.130 | Montreal, Quebec, Canada | AS16276OVH SAS |
| 3 | 104.198.108.103 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 172.240.108.76 | United States | AS7979SERVERS-COM |
| 3 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 3 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 104.21.6.22 | United States | AS13335CLOUDFLARENET |
| 3 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 3 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 59 | 18 | - | - |
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
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