Security Scan Report: ljenningskayla.pages.dev

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Submitted: Jan 4, 2026, 1:06:27 PMCompleted: Jan 4, 2026, 1:07:54 PMpubliccompleted
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Summary

This website contacted 20 IPs in 3 countries across 14 domains to perform 32 HTTP transactions. The main domain is ljenningskayla.pages.dev and was registered NaN years ago.

Submitted URL: https://ljenningskayla.pages.dev/qhsca-social-security-award-letter-2025-mrlso/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing site impersonating Social Security; do not trust

Risk Factors
Malicious Indicators of Compromise match on primary domain (pages.dev)
Impersonation of a government agency (Social Security) on an unrelated domain
Unranked / low‑reputation domain claiming official award letter
Use of a generic hosting subdomain (pages.dev) commonly abused for phishing
Domain age information unavailable

Details

Page Title

Social Security Award Letter 2025 - L Jennings Kayla

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(79%)

Domain Information

The domain 'ljenningskayla.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'ljenningskayla'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ljenningskayla.pages.dev/qhsca-social-security-award-letter-2025-mrlso/

Page Load Overview

17.83s
Total Load Time
40
HTTP Requests
14
Domains
780 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:3,653 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
79%
adult content
53%
documentation technical
51%
healthcare medical
39%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.20.23.96United States
AS13335CLOUDFLARENET
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2172.67.166.38United States
AS13335CLOUDFLARENET
2188.114.96.3United States
AS13335CLOUDFLARENET
2150.171.27.10Unknown
2142.250.184.225United States
AS15169GOOGLE
22.17.100.179Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.18.4.110Unknown
2184.24.77.40UnknownUnknown
2137.200.40.10Baltimore, Maryland, United States
AS11985ASN-SSA
4020--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C131A33A1A814722F5FD3E8D5957324BEACE226C6024E7174FC62645F8ADEB017760E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:EvrZdap7hoYKaikMaxROR5wBilQsXs/nj7oR/HhMFEWtPmEmoxYQZ0:8apNGS0lQsXs/nj7m/sEWtPmEmoxYQe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43009:JAYCgBFYiRgAhRTE6IAFEyuhFkC9EC6AAADSAAIF4EYQEAKCDjHtsLAYgSi3DwVQAkKFkgHQFQQoJRAAsMAxkEKFivABSTBc

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:e7e7180c1e0e783e
Perceptual Hash:99e3e6b4b6491949
Difference Hash:0cccf39c7410e0f4
Wavelet Hash:e7e738083a0e387e
Color Hash:#583a78

Other Hashes

Crop Resistant:0cccf39c7410e0f4

Scan History

Scan history not available

Unable to load historical scan data