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Security Scan Report: annacquickj.pages.dev

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Submitted: Jan 8, 2026, 5:05:47 AMCompleted: Jan 8, 2026, 5:06:59 AMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 18 domains to perform 44 HTTP transactions. The main domain is annacquickj.pages.dev and was registered NaN years ago.

Submitted URL: https://annacquickj.pages.dev/wwfko-social-security-pay-calendar-2025-goasy/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No suspicious forms or brand impersonation
Domain age information unavailable

Details

Page Title

Social Security Pay Calendar 2025 - Anna C Quick

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

You're looking at domain 'annacquickj.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'annacquickj'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus 3 consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://annacquickj.pages.dev/wwfko-social-security-pay-calendar-2025-goasy/

Page Load Overview

3.12s
Total Load Time
44
HTTP Requests
18
Domains
587 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:2,604 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10159.60.130.35United States
AS35280F5 Networks SARL
2216.177.130.27United States
AS3955321P-WSS
2104.20.23.96United States
AS13335CLOUDFLARENET
223.36.162.215United States
AS20940
2104.20.30.217United States
AS13335CLOUDFLARENET
23.174.46.76United States
AS13335
2104.26.1.222United States
AS16509
2172.64.150.129United States
AS13335CLOUDFLARENET
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
2172.67.180.98United States
AS13335CLOUDFLARENET
4418--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16043F8A7949839323F89E3F8E9557285FB56C434D602697538F01AAC86D8CEF216730F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TapXT4SfXQNijGUgY9T+tynab4jHk3rKCfJCg0JjgUVmTK:2lTjANijGUjJUUVm+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55848:RNmsAYUENBAkEQBvLHsA0ARqAQpwCQAC1JtQu5BExoHNASAKoAg8CF2BAVA0AAh0SCZExJCBKomwMIMICahQTiBAmFC2hqhJ

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:ffffff8787c7c7c7
Perceptual Hash:b2ccc7633c26c1cd
Difference Hash:3a1b3e2f0f0f0d0d
Wavelet Hash:cf83db8383838787
Color Hash:#c56ce0

Other Hashes

Crop Resistant:3a1b3e2f0f0f0d0d,242451652da98956,ccfcd9c8c84a648c

Scan History

Scan history not available

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