Security Scan Report: annmturnern.pages.dev

Site favicon
Submitted: Jan 8, 2026, 6:10:07 PMCompleted: Jan 8, 2026, 6:12:48 PMpubliccompleted
Loading additional data...

Summary

This website contacted 13 IPs in 2 countries across 15 domains to perform 34 HTTP transactions. The main domain is annmturnern.pages.dev and was registered NaN years ago.

Submitted URL: https://annmturnern.pages.dev/nkwvg-social-security-benefits-2025-increase-uqipm/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age of 1954 days (well‑established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
No compromised WordPress paths detected
Unranked status mitigated by long domain age and lack of suspicious activity
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 Increase - Ann M Turner

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(83%)

Domain Information

You're looking at domain 'annmturnern.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'annmturnern'. Count 5 characters in 'pages' with two vowels and 3 consonants. Segmentation suggests 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://annmturnern.pages.dev/nkwvg-social-security-benefits-2025-increase-uqipm/

Page Load Overview

90.19s
Total Load Time
34
HTTP Requests
15
Domains
437 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:3,785 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
83%
government public service
80%
blog personal website
76%
healthcare medical
70%
news media journalism
60%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.21.18.46United States
AS13335CLOUDFLARENET
2172.67.71.161British Virgin Islands
235.239.62.3Council Bluffs, Iowa, United States
AS396982GOOGLE-CLOUD-PLATFORM
270.32.23.115United States
AS55293A2HOSTING
2150.171.27.10British Virgin Islands
235.71.189.182United States
AS16509AMAZON-02
2142.251.208.22British Virgin Islands
2172.67.136.190United States
AS13335CLOUDFLARENET
2172.66.44.92United States
AS13335CLOUDFLARENET
2104.18.38.162British Virgin IslandsUnknown
3413--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14AE2E73250AD10363D5F93DD85A6731CEAA9E610CB039B3631FD32689B95DFA41B720D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:rnbZdapNLTWZ+lhH//jS9CLvd6KHaph0OL15HHiU7QjIZXX:3ap5TW+x//ECLvd6K6ph0OL15HHiU7Q8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34195:hAlBRAVhECJYC0ABEtTUkIEQiAaUclAKQhhZHCFSsBghcSCOEoNESiAhSGGRAGC5IQxgWMwIkggTgogCQClktAKCgDTAgYMC

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:ff0000ffcfffdbe7
Perceptual Hash:b349669db2c9e21c
Difference Hash:0c0c731b3a33330f
Wavelet Hash:e70000dbcbdbc3e3
Color Hash:#92c587

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data