Security Scan Report: loatleyaiden.pages.dev

Submitted: Jan 4, 2026, 2:05:34 AMCompleted: Jan 4, 2026, 2:08:01 AMpubliccompleted
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Summary

This website contacted 14 IPs in 5 countries across 16 domains to perform 39 HTTP transactions. The main domain is loatleyaiden.pages.dev and was registered NaN years ago.

Submitted URL: https://loatleyaiden.pages.dev/warot-social-security-cola-increase-2025-amount-qhmmu/

AI Security Verdict

High Risk

Confidence: 95%

8
Risk Score

High‑risk phishing site impersonating Social Security; do not trust.

Risk Factors
Malicious domain Indicator of Compromise (pages.dev)
Malicious IP Indicator of Compromise (208.91.197.27)
Brand impersonation of Social Security on a low‑reputation domain
Unranked domain with no established reputation
Suspicious content about Social Security COLA increase
Domain age information unavailable

Details

Page Title

Social Security Cola Increase 2025 Amount - L Oatley Aiden

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(63%)

Domain Information

You're looking at domain 'loatleyaiden.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'loatleyaiden'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://loatleyaiden.pages.dev/warot-social-security-cola-increase-2025-amount-qhmmu/

Page Load Overview

77.00s
Total Load Time
32
HTTP Requests
16
Domains
229 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:3,270 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
63%
blog personal website
57%
forum community discussion
45%
adult content
42%
healthcare medical
42%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
2172.66.169.241United States
AS13335CLOUDFLARENET
2208.91.197.27British Virgin Islands
AS40034CONFLUENCE-NETWORK-INC
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
292.204.80.11Strasbourg, Grand Est, France
AS21499Host Europe GmbH
2104.21.11.140United States
AS13335CLOUDFLARENET
2172.67.166.38Unknown
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2188.114.97.3United States
AS13335CLOUDFLARENET
2162.0.212.3United States
AS22612NAMECHEAP-NET
3214--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A443D9A6509521366D0B57A693CD271CD838AE32CE034E6A72BE21195FC1FF913D722F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIEapjFhhmXffGGHGNBCJdEEAyCtDFyOe:v520HyCtDFyOe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56332:E1ALRAqD0hi6AORBASIkICTckQkC0AyFkKgtAgFUeAFMRKhJQBHGgQDmQK9B5TjRo6JhsIEFhAegBgicBKQxZQHIkQBkSABE

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:0000fbfbffffffff
Perceptual Hash:bd63121686e1e1eb
Difference Hash:8c13133333333323
Wavelet Hash:000089cb9f8bdfdf
Color Hash:#c587a5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data