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Security Scan Report: coragents.ai

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Submitted: Jun 25, 2026, 10:53:14 AMCompleted: Jun 25, 2026, 10:54:54 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 2 HTTP transactions. The main domain is coragents.ai and was registered NaN years ago.

Submitted URL: https://coragents.ai

The Cisco Umbrella rank of the primary domain is #361,291 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 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

Page Title

502 Bad Gateway

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(65%)

Domain Information

The domain name 'coragents.ai' uses the Anguillan country-code top-level domain (.ai) and has no subdomain. Count 9 characters in 'coragents' with three vowels and 6 consonants. Tokenizing the label suggests two words: cor, agents. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://coragents.ai

Page Load Overview

0.18s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:8,317 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
65%
corporate business
57%
government public service
52%
education learning
44%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
289.106.200.1Netherlands
AS209626Enflow B.V.
016.61.50.208City of London, England, United Kingdom
AS16509Amazon.com, Inc.
034.111.179.208Kansas City, Missouri, United States
AS396982Google LLC
23--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB83C92153101A37121346F0F2A1F72DE17EC38ADE6B9849F3FC42566BCAC589A673D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:vVB1dKjh8mS1I6tmV7TfxrTxrW+sinwTDnf0dj8NtLmrghW+m6HVQ6EnBJbMtDOQ:vVBPKjum7zwTDnf0dj8pZnO/aDnF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86537:REAKpYRAFiGEMWNYDa4BCCINkIKBkAMywgQZKyKLQIKEBLCiFaMk8VBZwgBA6I+izOokwVAEBQSIFMoMga5CDCGWkBpoABBE

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:1fffffffffffffff
Perceptual Hash:8f0f0f0f0f0f0f07
Difference Hash:f020000000000000
Wavelet Hash:10f0f0f0f0f0f0f0
Color Hash:#2dc5d2

Other Hashes

Crop Resistant:f020000000000000

Scan History

Scan history not available

Unable to load historical scan data