Security Scan Report: ljenningskayla.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 20 IPs in 3 countries across 14 domains to perform 40 HTTP transactions. The main domain is pages.dev and was registered 6 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 (4)
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

Domain Name Analysis

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

© L JENNINGS KAYLA Discover and explore ideas, tips guide and info L Jennings Kayla. Home About Contact Disclaimer DMCA Privacy Policy Terms And Conditions Blog Social Security Award Letter 2025...

Page Load Overview

17.83s
Total Load Time
934 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

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
AS20940Akamai International B.V.
2142.250.184.225United States
AS15169GOOGLE
22.17.100.179Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.18.4.110Unknown
AS13335CLOUDFLARENET
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:N/A

Other Hashes

Crop Resistant:0cccf39c7410e0f4

Scan History

Scan history not available

Unable to load historical scan data