Security Scan Report: us.protex.ai

Redirected to:
https://us.protex.ai/login
Site favicon
Submitted: Completed: publiccompleted
This website contacted 19 IPs in 2 countries across 10 domains to perform 361 HTTP transactions. The main domain is protex.ai and was registered 5 years ago.

Submitted URL: https://us.protex.ai

Effective URL:
https://us.protex.ai/login
Redirected

The Cisco Umbrella rank of the primary domain is #749,984 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Established protex.ai subdomain hosting the platform's own sign-in page. Self-branded, no impersonation, no Indicators of Compromise or malware, no credential exfiltration. Low risk.

Risk Factors (1)
Login form present (email + password) — expected for a SaaS sign-in page but captured as a form indicator
Safety Factors (5)
Established 5+ year old domain under the protex.ai brand
Self-branding: page title 'Protex AI - Proactive EHS Platform' matches the domain, no third-party brand claimed
No threat-intelligence matches, no YARA malware, no IDS alerts, no phishing-kit roster entries
No cross-origin credential submission or JavaScript exfiltration
Legal information (Privacy Policy, Terms of Use) present
Domain age information unavailable

Details

Page Title

Protex AI - Proactive EHS Platform

Scan Type

public

Domain Name Analysis

Domain 'us.protex.ai' uses the Anguillan country-code top-level domain (.ai); it also runs on subdomain 'us'. Count 6 characters in 'protex' holding 2 vowels versus four consonants. Splitting it apart reveals two words: pro, tex. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://us.protex.ai

Page Load Overview

40.98s
Total Load Time
26.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:321 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
193.174.46.93Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19142.251.13.95Google · CDNUnited States
AS15169Google LLC
19172.67.197.50Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
193.174.46.34Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
193.174.46.2Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19142.251.20.95Google · CDNUnited States
AS15169Google LLC
193.174.46.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
193.40.5.185Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1934.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
193.167.227.111Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
36119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C192B375D08161EF6930EE37BF79F7AAC0CB6B6D0830D86095698F1EE068BD44366487

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:aw8e0Yowr0lb3ZcdlemAQ5dsDyHt6wsrDr2jeUpO/kEI+8X2JBCASMJZ6KJ7XOd1:BYJ2l1PXcP+CFOJcunA+fJpAPyIWjY7A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19942:EMpjx/42AjopMwxLNbG1wAiYWSGEBLQYQKBkQwghEjGlAhMgADGogJASqckaSAhHBkhJBEgyCSCQrY+0RSRwUmIYFml24IEJ

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:ffffffe7e7ffffff
Perceptual Hash:e63399cc2333cccc
Difference Hash:0000000808000000
Wavelet Hash:0c0c3c24273f3f3f
Color Hash:#86672d

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data