ScanMalware.com

Security Scan Report: natedaleyr.pages.dev

Site favicon
Submitted: Dec 28, 2025, 1:39:38 AMCompleted: Dec 28, 2025, 1:40:04 AMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 1 country across 16 domains to perform 30 HTTP transactions. The main domain is natedaleyr.pages.dev and was registered NaN years ago.

Submitted URL: https://natedaleyr.pages.dev/yvbsl-social-security-payment-schedule-may-2025-pdf-rcmdn/

AI Security Verdict

High Risk

Confidence: 95%

7
Risk Score

High risk phishing site due to malicious primary domain pages.dev.

Risk Factors
Primary domain pages.dev matches malicious Indicators of Compromise
Unranked/low reputation domain in Cisco Umbrella
Threat intelligence classifies the site as clearfake (malicious)
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule May 2025 Pdf - Nate Daley

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(47%)

Domain Information

You're looking at domain 'natedaleyr.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'natedaleyr'. The core label 'pages' covers 5 characters containing 2 vowels alongside 3 consonants. Breaking it apart gives 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://natedaleyr.pages.dev/yvbsl-social-security-payment-schedule-may-2025-pdf-rcmdn/

Page Load Overview

10.61s
Total Load Time
30
HTTP Requests
0
Domains
N/A
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:3,094 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
47%
healthcare medical
42%
corporate
35%
adult content
33%
finance banking
32%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18172.66.44.235United States
AS13335CLOUDFLARENET
2150.171.28.10UnknownUnknown
2104.21.69.200United States
AS13335CLOUDFLARENET
1172.66.169.241UnknownUnknown
1172.240.127.244UnknownUnknown
1142.250.184.225UnknownUnknown
1104.20.23.96United States
AS13335CLOUDFLARENET
1209.59.168.98UnknownUnknown
1142.251.141.97UnknownUnknown
09--

Detected Technologies5

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv1.0.0
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150E2D732A0AD10377E9F93EC81A17318EA9DE511CA039B3975FC31949F91EFA01AB15D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:kTbZdapNLTWZgM/O8h5IBaITij43kF6TiU7QjIZ5WJ:Gap5TWOM/baB4j486TiU7QjIrWJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34123:BkiOYCaCgQvsgEqRBjMCAgECJRKofkAAoBNiYgACJLRkAJAIhoYQCyeAADSeFoGhJRCSiJgwIE0FrsBMBSsS2EEcogzExIQC

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:ff0000ffffc787cf
Perceptual Hash:b84736b4cdb2cd0c
Difference Hash:084d730b321f1f1e
Wavelet Hash:e70019fbcbc383c3
Color Hash:#931f25

Other Hashes

Crop Resistant:084d730b321f1f1e,48a8d8e4a4584848,000387b1796b1322

Scan History

Scan history not available

Unable to load historical scan data