Security Scan Report: tatamypa.gov

Redirected to: https://www.searchhounds.com/articles/digital-nomad-visas-changing-the-face-of-work.html?psystem=PW&domain=tatamypa.gov

Submitted: Dec 23, 2025, 8:39:58 PMCompleted: Dec 23, 2025, 8:40:29 PMpubliccompleted
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Summary

This website contacted 14 IPs in 4 countries across 12 domains to perform 54 HTTP transactions. The main domain is searchhounds.com and was registered NaN years ago.

Submitted URL: https://tatamypa.gov/

Effective URL: https://www.searchhounds.com/articles/digital-nomad-visas-changing-the-face-of-work.html?psystem=PW&domain=tatamypa.govRedirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Redirect from a .gov domain to a commercial article site; no immediate threats detected.

Risk Factors
Unusual redirect from a government TLD to a non‑government commercial domain
Safety Factors
Well‑established domain age (22+ years)
No malicious Indicators of Compromise detected
No forms collecting passwords, payment data, or personal identifiers
Content appears to be a standard informational article
Domain age information unavailable

Details

Page Title

Digital Nomad Visas: Changing the Face of Work Travel | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'tatamypa.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The registrable portion 'tatamypa' spans 8 characters with 3 vowels and five consonants. Splitting it apart reveals three words: tata, my, pa. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tatamypa.gov/

Page Load Overview

1.39s
Total Load Time
54
HTTP Requests
12
Domains
846 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:61,092 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
entertainment media
35%
real estate property
30%
government public service
30%
healthcare medical
29%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
152.21.240.174Stockholm, Stockholm County, Sweden
AS20940Akamai International B.V.
313.203.174.255Mumbai, Maharashtra, India
AS16509AMAZON-02
395.100.110.3Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3216.58.209.162United States
AS15169GOOGLE
3216.58.209.202United States
AS15169GOOGLE
315.197.148.33United States
AS16509AMAZON-02
3216.58.209.195United States
AS15169GOOGLE
3216.58.209.193United States
AS15169GOOGLE
3216.58.209.206United States
AS15169GOOGLE
32.21.240.190Stockholm, Stockholm County, Sweden
AS20940Akamai International B.V.
5414--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3F0C0D3DC61C51D0B60C2D9B922F72C8006F52DDD95E840B491006744E8AE24C5A854

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:n0VA2ZARUbAiSTsSQQ9WSPD3Lp0LVe2KPD3LqWTW:n0VA8oTs49WSeVpKSWC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:539:AAAQAAAAAEAAAAEAAAAAAAIAABAAAAAAAAAAAAAAAAAAAAAAAAAACAAAAAAQAABAAAAABACAAACAAAAAAACAAAACAAAAAAAA

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#45d22d

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data