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Security Scan Report: spaaagtew.pages.dev

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Submitted: Nov 25, 2025, 12:45:37 AMCompleted: Nov 25, 2025, 12:50:09 AMpubliccompleted
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Summary

This website contacted 59 IPs in 3 countries across 13 domains to perform 36 HTTP transactions. The main domain is spaaagtew.pages.dev.

Submitted URL: https://spaaagtew.pages.dev/posts/umsw-social-security-max-2024-benefit-increase

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing page impersonating brands on an unranked domain.

Risk Factors
Presence of malicious Indicators of Compromise (highperformanceformat.com)
Brand impersonation on a low‑reputation, unranked domain
New or unknown domain age with no established reputation
Domain age information unavailable

Details

Page Title

Social Security Max 2024 Benefit Increase - Kate Edinburgh

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(43%)

Domain Information

You're looking at domain 'spaaagtew.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'spaaagtew'. The registrable portion 'pages' spans 5 characters split between 2 vowels and three consonants. Splitting it apart reveals one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://spaaagtew.pages.dev/posts/umsw-social-security-max-2024-benefit-increase

Page Load Overview

1.15s
Total Load Time
36
HTTP Requests
13
Domains
1.7 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:3,274 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
43%
government public service
40%
corporate
35%
news/blog
30%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36172.240.253.132United States
AS7979SERVERS-COM
18188.114.96.3United States
AS13335CLOUDFLARENET
3104.26.14.73United States
AS13335CLOUDFLARENET
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1172.66.40.135United States
AS13335CLOUDFLARENET
1104.196.233.173The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
1142.250.186.129United States
AS15169GOOGLE
154.39.128.162Beauharnois, Quebec, Canada
AS16276OVH SAS
1173.236.141.159United States
AS26347DREAMHOST-AS
1104.20.10.41United States
AS13335CLOUDFLARENET
3659--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12DB20926474D253E325623C526233B0E966BD935DF23C8B27BA9B81C57D0DE8827718F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:s21udIhLyNk4t+kWdSK8QbbXgDag4ezC0oXo:s21udIheNkA+kW07QnXgDag4ezC0oY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25292:KCJY5LCnA2BM0MCGQ6BDMVIqNEB5TwogCIdFIQRAHAg0LzIQAHwBogaAwBnkAiRMoAgDAYAgJPEEtMBhxQNBiKCHDQIgi2K0

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:9fff8f8f8f8f8787
Perceptual Hash:bfc9461b18371d62
Difference Hash:303a1a1b1b3b0f2f
Wavelet Hash:00cf8f8f8f838787
Color Hash:#c6d279

Other Hashes

Crop Resistant:303a1a1b1b3b0f2f,0000000000000000,d9a1871a68c30e3c,38610c208f3e7081,e8c1879c0f7f78e4,d9a1471a68c38e3c

Scan History

Scan history not available

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