Security Scan Report: convercy.app

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Submitted: Oct 2, 2026, 2:08:47 AMCompleted: Oct 2, 2026, 2:09:45 AMpubliccompleted

This website contacted 18 IPs in 2 countries across 15 domains to perform 307 HTTP transactions. The main domain is convercy.app and was registered 21 years ago.

Submitted URL: https://convercy.app

The Cisco Umbrella rank of the primary domain is #492,456 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established 3-year-old Shopify localization app (convercy.app) presenting its own brand, with no credential/payment forms, no Indicators of Compromise, and no malware patterns. Informational IP-lookup IDS alerts only. Safe.

Safety Factors (5)
Established domain active over 3 years with visible physical address and legal pages (Privacy Policy, Terms and Conditions, Usage Policy)
Domain ranks inside Cisco Umbrella's top 1M
Content is a coherent Shopify localization/currency-converter app with 3,342+ merchant installs and native Shopify integration
Third-party scripts served from reputable, top-1M hosts (Shopify CDN, jsDelivr, Tailwind, Google Fonts)
No credential, payment, or disguised-password fields present on the page
Domain age information unavailable

Details

Page Title

Convercy Website

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'convercy.app' is registered and has no subdomain. The registrable portion 'convercy' spans 8 characters split between two vowels and 6 consonants. Breaking it apart gives three words: con, ver, cy. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://convercy.app

Page Load Overview

5.20s
Total Load Time
12.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,893 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping85% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
85%
technology software
65%
corporate
35%
education learning
26%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1823.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
17142.251.20.95Google · CDNUnited States
AS15169Google LLC
17104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1723.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
17151.101.65.229Fastly · CDNUnited States
AS54113Fastly, Inc.
17142.251.14.94Google · CDNUnited States
AS15169Google LLC
1734.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
17142.251.20.97Google · CDNUnited States
AS15169Google LLC
17188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17216.239.34.36Google · CDNUnited States
AS15169Google LLC
30718--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE845C5413B1117A504381EEF971A9483B25A09BEA43C654B3DC070CAFDAEE64D6FFAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:H0scJrjkkT2hrKsFHAvROmdSQl+TmnnmraYp9pkXM11UehBKtsbh7FCJZOEAZuEA:Hn8OmdSQl+Tmnnib/hBKtsbh7FZOh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:376342:oUhEADhkCwGJZssSRA0U6wgBGNJDWmZtAFJAIAATKIkU+k1QAJCADIgQgMwehgBlgIBRGEAXAGiRgBBwOhYCMmRXJQiaPZEx

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:00ffe7efc7c3dbc3
Perceptual Hash:e9524c4d124d773e
Difference Hash:69080e0c0b13132f
Wavelet Hash:00ffe7efc3838181
Color Hash:#785b3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data