Security Scan: Connexion

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/cea7bf74-4221-4ca8-b759-4e528caffd35 Domain and IP registration (RDAP)/api/v1/rdap/cea7bf74-4221-4ca8-b759-4e528caffd35 Certificate Transparency/api/v1/ct/faicbok.vercel.app How often this domain was scanned/api/v1/domain/stats/faicbok.vercel.app Scan history for this domain/api/v1/domain/history/faicbok.vercel.app?limit=15

This website contacted 6 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is faicbok.vercel.app and was registered 18 years ago.

Submitted URL: http://faicbok.vercel.app/

Effective URL:

https://faicbok.vercel.app/

Redirected

AI Security Verdict

High Risk

Confidence: 90%

Risk Score

Typosquat 'faicbok.vercel.app' impersonates Meta/Facebook with a French credential-harvesting login form plus a phishing report on the domain — do not enter any credentials.

Risk Factors

Brand impersonation of Meta/Facebook on an unrelated typosquat domain

Credential capture form (password + username fields) on a non-official domain

Single-source phishing threat-intel match on the primary domain

Unknown-age subdomain on a shared hosting platform with no reputation

Domain age information unavailable

Details

Page Title

Connexion

Scan Type

public

Domain Name Analysis

You're looking at domain 'faicbok.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'faicbok'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and four consonants. Word splitting yields 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

0.37s

Total Load Time

75 KB

Total Size

Language Analysis

Primary Language

🇫🇷French

Code: fr

Confidence:80%

Script:Latin

Direction:ltr

Detection Details

HTML Lang Attribute:fr

Text Length:220 chars

Detector Agreement:50%

Website Classification

Primary Category

social media network54% confidence

Type: static

Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network

54%

news media journalism

40%

forum community discussion

37%

adult content

35%

finance banking

31%

Detected Features

No structural features detected

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
2	185.15.59.240	United States	AS14907Wikimedia Foundation Inc.
1	88.99.85.235	Falkenstein, Saxony, Germany	AS24940Hetzner Online GmbH
1	64.29.17.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	192.178.183.94Google · CDN	United States	AS15169Google LLC
1	216.198.79.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	195.201.128.178	Nuremberg, Bavaria, Germany	AS24940Hetzner Online GmbH
7	6	-	-

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12AD186531EA328426153C86977F3AB057674D4038246CD743EEDA364CF8AB8999A33FC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:DwJRuX6K6KKPipTFVWKmHXFiUold0iYhby4NYT4l7K+VFUiztxsXbiBiXH:D8RuqbUpTFVTCXMJENMFJiqiBiXH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6499:AQEKAEAJbACIBEBAAQQBqQEL4qAIuLGCAhVAMEADAoFQBpQOGWEABEM4NykiFEAqqGMKAEQEgQBGiQAQElgBAAuAgAJIAlYB

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:ffffffe7e7ffffe7

Perceptual Hash:e664cccc6666cccc

Difference Hash:0408004d0c000c0c

Wavelet Hash:243c2424273f2f27

Color Hash:#73862d

Other Hashes

Crop Resistant:0408004d0c000c0c

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: faicbok.vercel.app