Security Scan Report: heal.my.redcanary.co

Submitted: Jan 26, 2026, 5:08:49 AMCompleted: Jan 26, 2026, 5:10:21 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is heal.my.redcanary.co and was registered NaN years ago.

Submitted URL: https://heal.my.redcanary.co

The Cisco Umbrella rank of the primary domain is #33,610 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

No threats detected; site appears legitimate.

Safety Factors
Well-established domain (registered 2014)
High Cisco Umbrella ranking
No forms collecting sensitive data
No external domains or redirects
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Not Found

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

news media journalism

(40%)

Domain Information

The domain name 'heal.my.redcanary.co' uses the Colombian country-code top-level domain (.co) with subdomain 'heal.my'. Its registrable label 'redcanary' stretches across 9 characters with three vowels and 6 consonants. Segmentation suggests two words: red, canary. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://heal.my.redcanary.co

Page Load Overview

2.76s
Total Load Time
3
HTTP Requests
1
Domains
2.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:196 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism40% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
40%
social media network
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
318.189.97.118Columbus, Ohio, United States
AS16509Amazon.com, Inc.
31--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1443123996163B086F87258A86BB5B705614DD123D68BDC6B7AC1376CCF8C6C1D4A338C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:haa0eR/HDZ8sf0P1CkbdIJMiv9CNI5RWFoBwhDdBIwONt7iG++mQF133GaBHyZ63:RhZ8Tt5M7Vp5uKwhDbebJd5yAe4SF7M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1774:AAAEUBBIAAAAAACAAACIEACAAAAGAAAAAAAABAAIACAAAgCAAQAAAAGjCAIQAQCBAiAAgAAAkAABCKAAkAAQAIAAAgAAEAFA

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:ffcfc3c3cbcfffff
Perceptual Hash:b164ce93cecc31cc
Difference Hash:101e16171b181000
Wavelet Hash:cfc3c3c1010f0f3f
Color Hash:#1f9388

Other Hashes

Crop Resistant:101e16171b181000

Scan History

Scan history not available

Unable to load historical scan data