Security Scan Report: hh-kestrel-calendar-qy2wjous7q-uc.a.run.app

Submitted: Jan 10, 2026, 6:47:42 PMCompleted: Jan 10, 2026, 6:49:06 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is hh-kestrel-calendar-qy2wjous7q-uc.a.run.app and was registered NaN years ago.

Submitted URL: https://hh-kestrel-calendar-qy2wjous7q-uc.a.run.app

The Cisco Umbrella rank of the primary domain is #1,649 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain registration date (2018-04-05)
High Cisco Umbrella ranking indicating reputable domain
Absence of credential or payment collection mechanisms
No external links or redirects
Domain age information unavailable

Details

Page Title

hh-kestrel-calendar-qy2wjous7q-uc.a.run.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(50%)

Domain Information

Within the application-focused generic top-level domain (.app), 'hh-kestrel-calendar-qy2wjous7q-uc.a.run.app' is registered, featuring subdomain 'hh-kestrel-calendar-qy2wjous7q-uc.a'. The registrable portion 'run' spans 3 characters holding 1 vowel versus 2 consonants. Tokenizing the label suggests 1 word: run. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hh-kestrel-calendar-qy2wjous7q-uc.a.run.app

Page Load Overview

4.22s
Total Load Time
1
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:324 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical50% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
50%
technology software
48%
news media journalism
47%
adult content
42%
cryptocurrency blockchain
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
134.143.74.2United States
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8OldU:VhoC9JSqzzbs6o3Sj3gcrsQ2eAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184837:qYMiKjVIDJiqeA/SakIGAsEwzhrIAAB2CSiBBgBoBQIUR0CYCaEAwghIitlggWmQKSABccoA8BAHCVRKkBgwUdMeJNWEBASC

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:ffc7c7c3f3ffffff
Perceptual Hash:b1339acccc633333
Difference Hash:001c0c1606000000
Wavelet Hash:3f1f0303030f0f0f
Color Hash:#51d22d

Other Hashes

Crop Resistant:001c0c1606000000

Scan History

Scan history not available

Unable to load historical scan data