Security Scan Report: lynkzo.dev

Redirected to: https://mystatment-desktopapp.live/ie/

Submitted: Oct 15, 2025, 7:51:40 AMCompleted: Oct 15, 2025, 7:53:24 AMpubliccompleted
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Summary

This website contacted 14 IPs in 4 countries across 5 domains to perform 8 HTTP transactions. The main domain is mystatment-desktopapp.live and was registered NaN years ago.

Submitted URL: https://lynkzo.dev/

Effective URL: https://mystatment-desktopapp.live/ie/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

High‑risk malicious site impersonating Social Security; likely malware distribution.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Critical domain age (<7 days) multiplier applied
Malicious download prompt for a sensitive government document
Use of a .live TLD often associated with low‑reputation sites
Absence of any legitimate security indicators (no login, no official branding)
Domain age information unavailable

Details

Page Title

Social Security Statement

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(73%)

Domain Information

Domain 'lynkzo.dev' uses the developer-focused generic top-level domain (.dev) with no subdomain. The second-level label 'lynkzo' is 6 characters long split between one vowel and five consonants. Tokenizing the label suggests three words: lyn, k, zo. Expect two characters per word on average. Most frequently, 'lyn' shows up in Dutch. It also appears in Slovak and Czech contexts. Taken together, it feels Dutch.

Screenshot

Security scan screenshot of https://lynkzo.dev/

Page Load Overview

78.22s
Total Load Time
8
HTTP Requests
5
Domains
4 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
Text Length:1,678 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service73% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
73%
healthcare medical
70%
documentation technical
63%
technology software
47%
download file sharing
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
878.40.143.162Bulgaria
AS45839Shinjiru Technology Sdn Bhd
02.16.241.13Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
044.230.85.241Boardman, Oregon, United States
AS16509AMAZON-02
0142.250.186.74United States
AS15169GOOGLE
023.72.37.170Dublin, Leinster, Ireland
AS20940Akamai International B.V.
02a00:1450:4001:810::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
02a02:26f0:1700:d::1737:6e93Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0142.250.185.202United States
AS15169GOOGLE
02a02:26f0:3500:18::1724:a29dFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02a02:26f0:1700:d::1737:6e9aFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
814--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A22A49FD2B30002291394793FBB6B856A55C00BE20FCD6A3E9C524CCF5569489F334E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ZqwFKkAQ/r4rTUZAFQ6T/6T7TT6G0e03prCQ/TdychyP1y8ZetPfVyXwRgWo0yJd:Z19WF85b/qzaf4CzN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10427:Q2QdAjOZGEgOqJXJUAIoNiAgIoFsEgSRREQABrmgMBLqiBEfxREIUOAUEQCKEoo8EFmBAewJDpZIOARjQjGAFDAzkaEEUGVo

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data