Security Scan Report: dawnlroderickk.pages.dev

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Submitted: Dec 3, 2025, 6:26:14 AMCompleted: Dec 3, 2025, 6:26:59 AMpubliccompleted
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Summary

This website contacted 76 IPs in 2 countries across 16 domains to perform 42 HTTP transactions. The main domain is dawnlroderickk.pages.dev.

Submitted URL: https://dawnlroderickk.pages.dev/tkzhi-social-security-increase-2025-estimate-chartmetric-oijtt/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate informational page with no security threats.

Safety Factors
No malicious Indicators of Compromise
No credential or payment collection
Informational content only
Domain age information unavailable

Details

Page Title

Social Security Increase 2025 Estimate Chartmetric - Dawn L Roderick

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(32%)

Domain Information

Domain 'dawnlroderickk.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'dawnlroderickk'. Count 5 characters in 'pages' containing two vowels alongside 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dawnlroderickk.pages.dev/tkzhi-social-security-increase-2025-estimate-chartmetric-oijtt/

Page Load Overview

0.59s
Total Load Time
42
HTTP Requests
16
Domains
1.4 MB
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:3,237 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content32% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
32%
government public service
32%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19188.114.97.3United States
AS13335CLOUDFLARENET
6142.250.186.163United States
AS15169GOOGLE
4104.21.18.46United States
AS13335CLOUDFLARENET
176.223.67.189United States
AS16509AMAZON-02
118.66.122.39United States
AS16509AMAZON-02
1142.250.185.202United States
AS15169GOOGLE
1146.75.123.52Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1172.64.149.94United States
AS13335CLOUDFLARENET
1142.250.185.246United States
AS15169GOOGLE
1150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4276--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3133A2281D90033BA0E93EDED96770C9EADA705CA070B6631ECE16C5F84DFA41B765D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:/7HZdapz2ssKLCkST+ZDCq2GoEynRl/2QWo22wTJH:/TapQT+9CioEynRhWo22wTJH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45354:g0EgiRVgBeBAEcQhC4YQoBcGzMNBBSMDaEACo2AkcKggUJIA8PcQRAACCAyGYLzKJ8V6NuyADIRDYhMryAJBgQKJRxIMIQQn

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:c14100c7704101f8
Perceptual Hash:e837cb3ac535c84a
Difference Hash:93912d96e1b71fb3
Wavelet Hash:c1c101fff1f101f9
Color Hash:#3ad22d

Scan History

Scan history not available

Unable to load historical scan data