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Security Scan Report: app.favikon.com

Submitted: Mar 10, 2026, 12:32:24 PMCompleted: Mar 10, 2026, 12:34:12 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 9 domains to perform 1 HTTP transaction. The main domain is app.favikon.com and was registered NaN years ago.

Submitted URL: https://app.favikon.com/public/profile/65732d10d34a507e7bd56d54/

The Cisco Umbrella rank of the primary domain is #943,260 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 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

José Manuel Restrepo Abondano: Influencer Profile, Audience & Engagement

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(61%)

Domain Information

The domain 'app.favikon.com' uses the commercial generic top-level domain (.com), featuring subdomain 'app'. Count 7 characters in 'favikon' split between three vowels and 4 consonants. Splitting it apart reveals 3 words: fa, v, ikon. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.favikon.com/public/profile/65732d10d34a507e7bd56d54/

Page Load Overview

6.56s
Total Load Time
157
HTTP Requests
15
Domains
4.4 MB
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:2,521 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service61% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
61%
adult content
52%
documentation technical
27%
social media
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21104.16.175.226United States
AS15169
17172.64.147.188United States
AS13335Cloudflare, Inc.
1765.9.175.4France
AS13335
17172.64.149.114United States
AS13335Cloudflare, Inc.
17104.18.38.142United States
AS13335Cloudflare, Inc.
1751.15.17.203Haarlem, North Holland, Netherlands
AS12876Scaleway S.a.s.
17142.250.187.232United States
AS15169Google LLC
1713.226.244.118UnknownUnknown
1751.15.191.125Paris, Île-de-France, France
AS12876Scaleway S.a.s.
1579--

Detected Technologies1

Ubuntu
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19353E82F7408D155ED3BEF0EC4B66E784008E8772B3084A8911EDA5B50529FB6FEAF51

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9p4c4uuMg7vhFS90rGV4xksc64Jysq7v+5LMpklVV7GaevA7Qe67NTy7nWPv8FDh:CMqo9ebx/c64Jysq7v7Yt67Nebj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65133:AVbBAyWhoyCQGBWDIkCW8CqSowOnRUAOiARNUQoEADlgwmERiKlAowklIxCgIJw+IQUPkCGoiEetgkcIQkdBKBxqJAURreFV

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#743a78

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data