Security Scan Report: jaredahannah.pages.dev

Submitted: Jan 22, 2026, 3:44:27 PMCompleted: Jan 22, 2026, 3:45:37 PMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 13 domains to perform 20 HTTP transactions. The main domain is jaredahannah.pages.dev and was registered NaN years ago.

Submitted URL: https://jaredahannah.pages.dev/winwr-social-security-increase-2025-calculator-ifgrh/

AI Security Verdict

Low Risk

Confidence: 82%

1
Risk Score

Low‑risk informational page; no immediate security threats detected.

Safety Factors
Informational content about Social Security benefits
No credential or payment collection forms
Hosted on reputable static site platform (pages.dev)
Meta tags align with page purpose, no brand impersonation
No external links or suspicious redirects
Domain age information unavailable

Details

Page Title

Social Security Increase 2025 Calculator - Jared A Hannah

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(61%)

Domain Information

The domain 'jaredahannah.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'jaredahannah'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jaredahannah.pages.dev/winwr-social-security-increase-2025-calculator-ifgrh/

Page Load Overview

3.63s
Total Load Time
32
HTTP Requests
15
Domains
589 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,289 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism61% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
61%
government public service
60%
adult content
53%
blog personal website
51%
healthcare medical
44%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.20.23.96Germany
2172.67.194.192Germany
2146.75.121.175Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2104.16.132.24Germany
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2141.193.213.10GermanyUnknown
2188.114.97.3United States
AS13335CLOUDFLARENET
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
2172.67.166.38GermanyUnknown
3213--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C743C8A6509521356D0B57A643CD271CE979EE32CB024E6A727E20199FC1FF913E322F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIEHnOQdapjhhimXRrjG3dqGi6qJ75pdb:4HnOQM5jrLJQiWtDFyOe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57514:bEgBoAFCjBCtJpIwVUsLAEVGAo1AJEUAEooZFAAL3ILpUSSAGAcogRGBQoBFQEgwEQcAQLABAtggAFAKLBAgSEggaaoWVAGq

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

Average Hash:0000fbdbffffffcf
Perceptual Hash:b9461202b6e3e9cf
Difference Hash:8c1313331313131b
Wavelet Hash:000089cbfbefcbcb
Color Hash:#75783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data