Security Scan Report: stats.falais.com

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Submitted: Dec 27, 2025, 11:32:51 AMCompleted: Dec 27, 2025, 11:33:14 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 14 HTTP transactions. The main domain is stats.falais.com and was registered NaN years ago.

Submitted URL: https://stats.falais.com

The Cisco Umbrella rank of the primary domain is #24,921 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Site likely phishing; do not enter credentials.

Risk Factors
Hidden password field (obfuscation technique)
Credential harvesting form on a domain without clear purpose
Lack of visible legitimate content or branding
Domain age information unavailable

Details

Page Title

Welcome, Java Hipster!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(61%)

Domain Information

The domain 'stats.falais.com' uses the commercial generic top-level domain (.com) and includes subdomain 'stats'. The core label 'falais' covers 6 characters holding 3 vowels versus 3 consonants. It segments into three words: fal, a, is. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stats.falais.com

Page Load Overview

8.38s
Total Load Time
13
HTTP Requests
2
Domains
4 KB
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:268 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software61% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
61%
adult content
59%
government public service
47%
documentation technical
34%
finance banking
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13188.114.96.3United States
AS13335CLOUDFLARENET
131--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A992E8684FA12426015F4959B7E57F0C236DA633EE0A8D4D77DE26882FC6FE890D3349

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:78JUpz6Ps88QYMjefUIBNw4gMpifNU/+5Bke:78ns88Pw7FU/+5Bke

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19555:rKXn0KQbogAIAOJpaiECw4BDaJgDEMVnCGQANaMYQEICAIDeFQ6UIEAOREkbACQDYAAgCODhMljBrqFJMxJBmECAUdVGFMQR

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:bd18181818000000
Perceptual Hash:cccc7373b38c2626
Difference Hash:32b2b2b2320c2000
Wavelet Hash:ffff3c3c3c000000
Color Hash:#3e931f

Scan History

Scan history not available

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