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Security Scan Report: barbaraguiliani.pages.dev

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Submitted: Dec 29, 2025, 5:58:58 PMCompleted: Dec 29, 2025, 6:00:19 PMpubliccompleted
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Summary

This website contacted 19 IPs in 2 countries across 18 domains to perform 28 HTTP transactions. The main domain is barbaraguiliani.pages.dev and was registered NaN years ago.

Submitted URL: https://barbaraguiliani.pages.dev/bcicj-social-security-payment-schedule-may-2025-pdf-vbmui//

AI Security Verdict

High Risk

Confidence: 95%

8
Risk Score

High‑risk phishing site due to malicious primary domain and government service impersonation.

Risk Factors
Primary domain pages.dev flagged as malicious (ek clearfake)
Unranked domain with low Cisco Umbrella reputation
Impersonation of a government service (Social Security) on a non‑government domain
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule May 2025 Pdf - barbara Guiliani

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(43%)

Domain Information

The domain name 'barbaraguiliani.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'barbaraguiliani'. The core label 'pages' covers 5 characters with two vowels and three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://barbaraguiliani.pages.dev/bcicj-social-security-payment-schedule-may-2025-pdf-vbmui//

Page Load Overview

10.83s
Total Load Time
43
HTTP Requests
18
Domains
1.2 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:3,186 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service43% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
43%
corporate
35%
healthcare medical
33%
adult content
29%
documentation technical
28%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
723.48.23.144Germany
AS15169
2172.240.108.68Germany
AS7979
2172.240.108.84Germany
AS8075
2104.20.23.96Germany
AS20940
2216.58.212.129Germany
AS32244
2142.250.186.138Germany
AS13335
2188.114.96.3United States
AS13335CLOUDFLARENET
2172.217.23.99Germany
AS16509
2172.66.169.241United States
AS13335CLOUDFLARENET
2142.251.141.97GermanyUnknown
4319--

Detected Technologies10

WordPressv6.4.2
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A403F632A1B914337A5FC3ECD1927318A9A8E611CB039B6574FC72A49F84DF601B721E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:VqbZdap6/26yzEx2NHCosWGx9yoKlZ54n:V4apC2WxkHCosWGx9yoKlr4n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38477:hwEIWKEjynoQCANBMBjBCgFyBEYCgAhMQOaG8QYRewEFLSUQCAxFUEYAuEwgihBBolYQiAkuuQcHiDSCR8TlFBgmknE5ghMA

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:ff0000000000ffff
Perceptual Hash:bb43b5c1bad089b4
Difference Hash:4969492969690c6d
Wavelet Hash:ff01018d0101ffff
Color Hash:#b940bf

Other Hashes

Crop Resistant:4969492969690c6d

Scan History

Scan history not available

Unable to load historical scan data