Security Scan Report: cuellar.house.gov

Submitted: Jan 23, 2026, 1:10:07 AMCompleted: Jan 23, 2026, 1:11:33 AMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 21 HTTP transactions. The main domain is cuellar.house.gov and was registered NaN years ago.

Submitted URL: https://cuellar.house.gov/contact/

The Cisco Umbrella rank of the primary domain is #50,489 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Official congressional contact page with no security concerns.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
Official government (.gov) domain
No credential or payment collection
No external domains or redirects
Domain age information unavailable

Details

Page Title

Contact | U.S. Congressman Henry Cuellar, Ph.D.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(85%)

Domain Information

Domain 'cuellar.house.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'cuellar'. The second-level label 'house' is 5 characters long with 3 vowels and 2 consonants. Tokenizing the label suggests 1 word: house. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cuellar.house.gov/contact/

Page Load Overview

1.57s
Total Load Time
25
HTTP Requests
5
Domains
982 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:3,119 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
85%
government public service
62%
news media journalism
58%
government
48%
healthcare medical
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
723.45.97.72Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
6142.250.185.163United States
AS15169GOOGLE
6142.251.140.170United States
AS15169GOOGLE
6142.251.141.136United States
AS15169GOOGLE
254--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145B2415694F10027033392D52D72BB3DAAA35057D64A7E1131FC8AAE5FC9F87CC1399A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:EHXLXoXmSnhjbPguEaLd6uw6FRfSSHiy0Bv4EatomBszhQgYfBv4MatQmXszh2Si:IDexhDEak96FZgwFCJCZbwWEKAWKvt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23846:QWYQCVGllIDtUEFEESVqAp+NYCFEMC5ACAAGGQgqKgIHARyABIUYiBEgQAliFEbQoZJIYC8AjZPcLBSqCSFhc6eBiAJa1IAm

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:0080ffffffffffff
Perceptual Hash:fc75545555958585
Difference Hash:8c27203830363220
Wavelet Hash:00008f9f9f839f9f
Color Hash:#cb79d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data