Security Scan Report: danielobaumgartnere.pages.dev

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Submitted: Jan 10, 2026, 7:53:14 AMCompleted: Jan 10, 2026, 7:54:44 AMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 14 domains to perform 1 HTTP transaction. The main domain is danielobaumgartnere.pages.dev and was registered NaN years ago.

Submitted URL: https://danielobaumgartnere.pages.dev/witkh-social-security-2025-cola-estimate-dqggh/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain (>5 years)
Standard hosting without suspicious redirects
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Social Security 2025 Cola Estimate - Daniel O Baumgartner

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'danielobaumgartnere.pages.dev' is registered; it also runs on subdomain 'danielobaumgartnere'. Its registrable label 'pages' stretches across 5 characters split between two vowels and 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://danielobaumgartnere.pages.dev/witkh-social-security-2025-cola-estimate-dqggh/

Page Load Overview

16.44s
Total Load Time
53
HTTP Requests
14
Domains
3.4 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:2,924 chars
Detector Agreement:60%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.66.47.49United States
AS13335CLOUDFLARENET
3142.251.140.182Germany
3104.20.23.96Germany
3142.250.186.131United States
AS15169GOOGLE
3146.75.123.52Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3172.66.169.241United States
AS13335CLOUDFLARENET
3104.21.18.46GermanyUnknown
33.174.46.74GermanyUnknown
3188.114.97.3United States
AS13335CLOUDFLARENET
3150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5314--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DA83F9E1D1D135262767835CFAD4B985BF9EB350D5410BF4B1B9820E0FD8A88A6E370B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Lapqdo7N+N4Qibc+7d3K8Wjc+7d3K8Wl8uhWJ1BM6E8WvSAc8B2rZ6mDac+CPSLe:uz6YyXrm2g00Dyt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87673:khAyhQKCGiGJIIUwCFqmQwYSIik4gaCJihBDGyABYAQOGUcxwLIAMiVAQATQARpEkQAlJDWCZCU4pFALBDXAGgKqaVEMDAcE

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:ffffffffff818181
Perceptual Hash:bcc32c49d63c4d96
Difference Hash:a08c2d1c2b33332b
Wavelet Hash:feefc78f81818181
Color Hash:#40a2bf

Scan History

Scan history not available

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