Security Scan Report: christinetlivelyd.pages.dev

Submitted: Jan 10, 2026, 4:17:17 PMCompleted: Jan 10, 2026, 4:18:59 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 13 domains to perform 40 HTTP transactions. The main domain is christinetlivelyd.pages.dev and was registered NaN years ago.

Submitted URL: https://christinetlivelyd.pages.dev/tpsff-social-security-changes-coming-in-2025-for-seniors-kuptv/

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Site shows a possible compromised WordPress indicator but lacks phishing or malicious content; low risk overall.

Risk Factors
Potential compromised WordPress site (system paths detected)
Domain is unranked in Cisco Umbrella (low reputation indicator)
Safety Factors
Long domain age (well‑established)
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Social Security Changes Coming In 2025 For Seniors - Christine T Lively

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'christinetlivelyd.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'christinetlivelyd'. The second-level label 'pages' is 5 characters long holding 2 vowels versus three consonants. Breaking it apart gives 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://christinetlivelyd.pages.dev/tpsff-social-security-changes-coming-in-2025-for-seniors-kuptv/

Page Load Overview

23.50s
Total Load Time
40
HTTP Requests
13
Domains
875 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:3,120 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
27%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1082.98.157.73Madrid, Madrid, Spain
AS42612DinaHosting S.L.
3172.67.147.104Spain
3142.250.184.234Spain
3172.67.180.98United States
AS13335CLOUDFLARENET
3142.250.185.118SpainUnknown
3104.21.70.147United States
AS13335CLOUDFLARENET
3188.114.97.3United States
AS13335CLOUDFLARENET
3162.159.141.224United States
AS13335CLOUDFLARENET
3216.58.206.67SpainUnknown
3150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4011--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12303E932A1AA10337A5F93D891A67328A9A8A615CB035F7172FC73545F94DFB00BB60D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+Y+OMu4C0kZdqZUaAVkW8ghnAuFNY4iKZlSD4rH73Q8N/DlGx9yoKdfZU:77Zdap6/xZ44rH73QELlGx9yoKlZU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37775:Ryqgqg4GQBAFAYctDEiSHgIEDaEAAiIb/SUEcCwIFjB8AVJEoDEQgMCEWAYCb/hgjRAAABzUWqskBFULDIAkYoYOWhqTdDgE

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:aa40b7e09dcc23f6
Difference Hash:cc15613115816d6d
Wavelet Hash:ff0101390101ffff
Color Hash:#931f52

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data