Security Scan Report: dianajhirano.pages.dev

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Submitted: Jan 18, 2026, 6:46:06 AMCompleted: Jan 18, 2026, 6:47:16 AMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 14 domains to perform 43 HTTP transactions. The main domain is dianajhirano.pages.dev and was registered NaN years ago.

Submitted URL: https://dianajhirano.pages.dev/igfoygb-att-ipad-deals-2025-photos-mwsnflj/

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Informational AT&T‑related content on a personal site; low risk but brand impersonation noted.

Risk Factors
Brand impersonation on an unranked domain
Safety Factors
Well‑established domain age (>5 years)
No credential or payment collection forms
No malicious Indicators of Compromise detected
No external links or redirects
Domain age information unavailable

Details

Page Title

At&T Ipad Deals 2025 - Gaynor Gilligan

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum community discussion

(52%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'dianajhirano.pages.dev' is registered, featuring subdomain 'dianajhirano'. The core label 'pages' covers 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://dianajhirano.pages.dev/igfoygb-att-ipad-deals-2025-photos-mwsnflj/

Page Load Overview

2.80s
Total Load Time
42
HTTP Requests
15
Domains
2.0 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:2,906 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

forum community discussion
52%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.20.23.96United States
AS13335CLOUDFLARENET
3142.250.184.195United States
AS15169GOOGLE
3188.114.97.3United States
AS13335CLOUDFLARENET
313.35.57.21United States
AS16509AMAZON-02
318.66.102.64Germany
3172.66.135.57United States
AS13335CLOUDFLARENET
3172.67.166.38United States
AS13335CLOUDFLARENET
3216.58.206.74United States
AS15169GOOGLE
3150.171.27.10GermanyUnknown
3141.193.213.11United States
AS209242Cloudflare London, LLC
4214--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C323093295D80C3F761A53DDA2A1730EF1AA9A30CE078A65F2FA57581FD4DF2046612E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ovLZdapzitFnkST9ZHVlhMS1iUJ8iVmXDINj72ON8EhjxwtQnoXz93WLJ27M2h2p:ojap2tpT9flhMS1VmXDINj72ON8EhjxF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46535:sgyAc5QGcJhKpBhTYAkJlIEQpoUQnYAmiQmENAAGwwEFqG2qoALCgBYKDAGECEdoEBKAjcJAwC0dAEcoDaCwn6ETiMASECgD

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:0000ffcfc7c78fff
Perceptual Hash:b04e4f30cc99c6cf
Difference Hash:60c5619f9c1f1e5c
Wavelet Hash:0000ffc7c787879f
Color Hash:#c587a3

Scan History

Scan history not available

Unable to load historical scan data