Security Scan Report: www.help.senate.gov

Submitted: Jun 28, 2026, 11:19:09 PMCompleted: Jun 28, 2026, 11:20:49 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is help.senate.gov and was registered NaN years ago.

Submitted URL: https://www.help.senate.gov/rep/newsroom/press/chairman-cassidy-calls-on-congress-president-trump-to-work-together-to-lower-health-care-costs

The Cisco Umbrella rank of the primary domain is #74,105 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.

Page Title

Chairman Cassidy Calls on Congress, Pres... | Senate Committee on Health, Education, Labor and Pensions

Scan Type

public

Language

🇺🇸

English

(56% confidence)

Category

healthcare medical

(83%)

Domain Information

Domain 'www.help.senate.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www.help'. The second-level label 'senate' is 6 characters long containing three vowels alongside three consonants. Segmentation suggests 1 word: senate. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.help.senate.gov/rep/newsroom/press/chairman-cassidy-calls-on-congress-president-trump-to-work-together-to-lower-health-care-costs

Page Load Overview

0.55s
Total Load Time
3
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:56%
Script Type:Latin
Text Length:338 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical83% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
83%
government public service
80%
news media journalism
65%
technology software
56%
documentation technical
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
323.49.250.191Edison, New Jersey, United States
AS20940Akamai International B.V.
0142.251.13.97United States
AS15169Google LLC
0142.251.20.95United States
AS15169Google LLC
023.52.181.12Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
35--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6E0ABEFF00300574E509A8478B23A81FB547032E7E317C86352F48BA58C9E8DA068A1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxVRpedgiHkDdA2wIxvIzGslM6EZ4djmj:kjMgHDdAVIxQzGsndKj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:72c64ac4ab08bbc4c95d57c4e18de47e

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:033fffffffffffff
Perceptual Hash:870707070525fdfb
Difference Hash:c644000000000000
Wavelet Hash:033f3f3f00000000
Color Hash:#4053bf

Other Hashes

Crop Resistant:c644000000000000

Scan History

Scan history not available

Unable to load historical scan data