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Security Scan Report: flic.io

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Submitted: May 11, 2026, 12:55:02 PMCompleted: May 11, 2026, 12:56:52 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/f81f5c4d-25da-4e60-ad33-e457df67b051Domain and IP registration (RDAP)/api/v1/rdap/f81f5c4d-25da-4e60-ad33-e457df67b051Certificate Transparency/api/v1/ct/flic.ioHow often this domain was scanned/api/v1/domain/stats/flic.ioScan history for this domain/api/v1/domain/history/flic.io?limit=15

This website contacted 25 IPs in 3 countries across 38 domains to perform 230 HTTP transactions. The main domain is flic.io and was registered 12 years ago.

Submitted URL: https://flic.io

The Cisco Umbrella rank of the primary domain is #588,145 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears legitimate with low risk; no phishing or malware indicators detected.

Risk Factors (2)
High JavaScript obfuscation score (potentially suspicious but not confirmed malicious)
Low Cisco Umbrella ranking (#588,145) – not a strong indicator alone
Safety Factors (4)
Self‑branding aligns with domain
No forms collecting credentials or payments
No confirmed Indicators of Compromise on the primary domain
No malicious YARA detections
Domain age information unavailable

Details

Page Title

Flic | The Smart Button and Dimmer for Lights, Music, Smart Home and more

Scan Type

public

Domain Name Analysis

You're looking at domain 'flic.io' on the British Indian Ocean Territory country-code top-level domain (.io) while skipping any subdomain. Its registrable label 'flic' stretches across 4 characters with one vowel and 3 consonants. Word splitting yields two words: fli, c. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flic.io

Page Load Overview

11.39s
Total Load Time
7.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:14,555 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software87% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
87%
healthcare medical
84%
corporate
35%

Detected Features

Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14141.101.90.104United States
AS13335Cloudflare, Inc.
9142.251.127.94United States
AS15169Google LLC
9185.172.148.132Germany
AS44239proinity GmbH
918.66.102.11United States
AS16509Amazon.com, Inc.
952.222.236.71United States
AS16509Amazon.com, Inc.
918.66.102.43United States
AS16509Amazon.com, Inc.
913.32.121.36New York, New York, United States
AS16509Amazon.com, Inc.
9172.64.149.114United States
AS13335Cloudflare, Inc.
9142.251.13.97United States
AS15169Google LLC
923.227.38.32Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
23025--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19FF3C7B092501437025306C9A062AB26F1DED925CE0B8AC1FBFF9EDD5BD5DD2C93212E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+4D7LBEcM2QIjkNrnljmynqVq75ORA8RK:+VI43

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171984:hnLiQYBuGGQokCAGgVUcC0iMfSoAOC5CIQAQSoIUVEJySQBESASsAOC9EgC6MEA9CEEAKEBAswm2iBMo2XDKUCBEBgJnOBSQ

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:772020202020ffff
Perceptual Hash:c343bc0dbc9ca4f8
Difference Hash:86c8c9c9c1c8d90c
Wavelet Hash:ff6060602020ffff
Color Hash:#aad279

Other Hashes

Crop Resistant:86c8c9c9c1c8d90c,a6ccc9c9c9d1cad8

Scan History

Scan history not available

Unable to load historical scan data