Security Scan Report: penobscottribalhealth.gov

Redirected to: https://www.searchhounds.com/articles/hidden-natural-gems-discovering-off-the-beaten.html?psystem=PW&domain=penobscottribalhealth.gov

Submitted: Dec 23, 2025, 2:36:18 PMCompleted: Dec 23, 2025, 2:36:57 PMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 13 domains to perform 57 HTTP transactions. The main domain is searchhounds.com and was registered NaN years ago.

Submitted URL: https://penobscottribalhealth.gov/

Effective URL: https://www.searchhounds.com/articles/hidden-natural-gems-discovering-off-the-beaten.html?psystem=PW&domain=penobscottribalhealth.govRedirected

AI Security Verdict

Low Risk

Confidence: 80%

1
Risk Score

The .gov domain is parked and redirects to unrelated content; no immediate malicious activity detected.

Safety Factors
Domain age is over 20 years (well‑established)
No malicious Indicators of Compromise detected
No password, email, or payment fields present
Domain age information unavailable

Details

Page Title

Hidden Natural Gems: Discovering Off-the-Beaten-Path Wonders | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

The domain name 'penobscottribalhealth.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The second-level label 'penobscottribalhealth' is 21 characters long containing seven vowels alongside 14 consonants. Tokenizing the label suggests three words: penobscot, tribal, health. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.07s
Total Load Time
57
HTTP Requests
13
Domains
873 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:61,370 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
59%
education learning
51%
government
48%
travel tourism
39%
entertainment media
32%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
62.18.64.28Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.18.64.11Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
315.197.148.33United States
AS16509AMAZON-02
3216.58.209.194United States
AS15169GOOGLE
3216.58.210.162United States
AS15169GOOGLE
313.203.174.255Mumbai, Maharashtra, India
AS16509AMAZON-02
3216.58.209.162United States
AS15169GOOGLE
3216.58.210.131United States
AS15169GOOGLE
3216.58.209.206United States
AS15169GOOGLE
3108.156.22.11United States
AS16509AMAZON-02
5718--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197A45131F840192FAB3F44C4A74AD71AB1D6A31FF4E90410D5DA07684AE9E78F52E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:1xGpyRce02Nd9PPplAzbTnd3hianxUerm0Osute0J1Q/RihTVjoKSFvE0q6PRib2:1xGpQ8hiznMK7Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:471252:RhlUyiogzMC0IkjFKmIMlmAoJInQSgADBymcZGlBiqxkIEaEwQSiCQIEQhxQRIQIQBI01gqgGo0whJTVBCQBeUWQ0nXsAC7B

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:00183c3c3c3c0000
Perceptual Hash:99d963e218b69c9c
Difference Hash:3b333232323223d7
Wavelet Hash:bf88bebebcbe0000
Color Hash:#d2af79

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data