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Security Scan Report: fonnq.me

Submitted: Nov 2, 2025, 7:09:03 AMCompleted: Nov 2, 2025, 7:10:45 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is fonnq.me.

Submitted URL: https://fonnq.me/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Site returns a 502 error and shows no malicious activity.

Safety Factors
No malicious Indicators of Compromise
No forms collecting sensitive data
Unranked domain but no other suspicious signs
Domain age information unavailable

Details

Page Title

502 Bad Gateway

Scan Type

public

Language

🇫🇷

French

(36% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'fonnq.me' uses the Montenegrin country-code top-level domain (.me) while skipping any subdomain. Its registrable label 'fonnq' stretches across 5 characters split between 1 vowel and four consonants. Tokenizing the label suggests 3 words: fon, n, q. Expect one character per word on average. 'foon' is most common in Afrikaans usage. You will also see it in Chinese (Zhuyin) and Breton contexts.

Screenshot

Security scan screenshot of https://fonnq.me/

Page Load Overview

34.34s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:45 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.92.10.215Hong Kong, Hong Kong
AS396982GOOGLE-CLOUD-PLATFORM
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6710F656C92D91581F2006C675F7209FDA7043F043CE610BA9CE3857F64F67C8A92EB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:d6ZLHCJBu6696fZRJ1yq9LZ3Na+KywsuZnAmmkRQDBs2dp18eU88t7xT:mLiHub9A1yal9TKuvkqs+1RJ8td

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3679:EACgAAhJFAADAJAAQAFAAAACKIgCDAQEGAAMYSAAAnAACAQYAAgUBk4AGWggAAEAACAAAAAEmCAATAAQAIkKAwggAeEioAAQ

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:1fffffffffffffff
Perceptual Hash:8f0f0f0f0f0f0f07
Difference Hash:f020000000000000
Wavelet Hash:10f0f0f0f0f0f0f0
Color Hash:#d22d6c

Other Hashes

Crop Resistant:f020000000000000

Scan History

Scan history not available

Unable to load historical scan data