Security Scan Report: analytics.apphq.co

Redirected to:
https://analytics.apphq.co/login
Submitted: Nov 27, 2025, 6:27:11 AMCompleted: Nov 27, 2025, 6:29:53 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is analytics.apphq.co and was registered NaN years ago.

Submitted URL: https://analytics.apphq.co/

Effective URL: https://analytics.apphq.co/loginRedirected

The Cisco Umbrella rank of the primary domain is #220,672 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain (over 6 years old)
No malicious Indicators of Compromise detected
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Shopify App — Installation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(79%)

Domain Information

The domain 'analytics.apphq.co' uses the Colombian country-code top-level domain (.co) with subdomain 'analytics'. The core label 'apphq' covers 5 characters holding one vowel versus 4 consonants. Segmentation suggests two words: app, hq. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://analytics.apphq.co/

Page Load Overview

0.49s
Total Load Time
3
HTTP Requests
1
Domains
10 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:106 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping79% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
79%
technology software
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
335.71.145.101United States
AS16509AMAZON-02
375.2.97.79United States
AS16509AMAZON-02
099.83.151.71United States
AS16509AMAZON-02
013.248.132.87United States
AS16509AMAZON-02
34--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10912FF2465A30E05E482A41417E63F852AB5C483CD07EF5E3BCE6F20DFAAAD4799634D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:1yLOu1s2bS3q+1sMexgHbYx/2ZsTtS+X7jKo1s9+X7Vfmz:1yLhG6s7Ym2Dc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9688:OAsTOABI8IuyWQIGzQMAIpRggAFSnESQDiOZBAFAIoAguGjBihZSicpEZiGMfWASCMggiAmKSHEWJgBAEOAUQbMORpoaAUQR

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:ffc13f8f1f1fe1bf
Perceptual Hash:9fe0e01f1ee00f0f
Difference Hash:0081601868608160
Wavelet Hash:30303f8f1f3fc0c0
Color Hash:#c2d279

Other Hashes

Crop Resistant:0081601868608160

Scan History

Scan history not available

Unable to load historical scan data