Security Scan Report: giseleaseagnesse.pages.dev

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Submitted: Dec 28, 2025, 7:36:38 PMCompleted: Dec 28, 2025, 7:37:23 PMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 17 domains to perform 45 HTTP transactions. The main domain is giseleaseagnesse.pages.dev and was registered NaN years ago.

Submitted URL: https://giseleaseagnesse.pages.dev/fsuiaqw-social-security-2024-cost-of-living-increased-images-ymwbuym/

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Phishing site impersonating Amazon on an unranked pages.dev subdomain.

Risk Factors
Brand impersonation on an unranked domain
Malicious Indicators of Compromise matches for pages.dev
Unranked domain used to mimic a well‑known brand
Presence of suspicious subdomain (giseleaseagnesse.pages.dev) with brand claims
Domain age information unavailable

Details

Page Title

Social Security 2024 Cost Of Living Increased - Lilli Paulina

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(60%)

Domain Information

You're looking at domain 'giseleaseagnesse.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'giseleaseagnesse'. The registrable portion 'pages' spans 5 characters containing 2 vowels alongside three consonants. It segments into one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://giseleaseagnesse.pages.dev/fsuiaqw-social-security-2024-cost-of-living-increased-images-ymwbuym/

Page Load Overview

27.25s
Total Load Time
45
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:4,177 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service60% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
60%
news media journalism
57%
adult content
51%
healthcare medical
37%
documentation technical
36%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23188.114.96.3United States
AS13335CLOUDFLARENET
4172.240.108.84UnknownUnknown
3104.19.154.92UnknownUnknown
2172.217.18.10UnknownUnknown
2172.217.23.99UnknownUnknown
2172.66.169.241United States
AS13335CLOUDFLARENET
1150.171.27.10UnknownUnknown
1162.241.224.101UnknownUnknown
1172.67.137.188UnknownUnknown
135.215.114.175UnknownUnknown
013--

Detected Technologies8

WordPressv6.7.1
100%
JQueryv3.7.1
100%
Bootstrapv5.2.2
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148234B3181DC2577776FA3D9A471731D55EAAA31CB03876A72F6A428DB84CF6017310E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:w0W4DWrPsZdapzVOlTWZvHpG7mxidzd59roQ00zse1JxYHZI:w0W4DWrkapSTW9pG7mxidz9oQ00zse1l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46945:MGsCh5R5YBQCgllQWglxfBUFJhEABIVSTAYQkqgAgIigPHVEBCKB2SShgKEeyNTDVJENBIAc6EnDLAAg8sIIAhC3pbQSguga

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:00bfffffff838383
Perceptual Hash:bec13e34c338a6c9
Difference Hash:23240b2b3a3f3f3f
Wavelet Hash:0000ffbfff838383
Color Hash:#9353ac

Scan History

Scan history not available

Unable to load historical scan data