Security Scan Report: redirect-fb4b1.web.app

Redirected to:
https://pital.shop/bFlQaWpxUFlVRnkwNFBzZ3BKbFc4MSszK2E0aXhTTmRUNTQ4SEd...
Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Submitted: Aug 8, 2026, 3:23:35 AMCompleted: Aug 8, 2026, 3:25:09 AMpubliccompleted

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is pital.shop.

Submitted URL: https://redirect-fb4b1.web.app/#/bFlQaWpxUFlVRnkwNFBzZ3BKbFc4MSszK2E0aXhTTmRUNTQ4SEdIM0VIV1Rlb3VVVHdwQjFrY0xBdEtQQW5EYmxpbzRISWowRmhaYjM0ellURkdtdzZTMENZYXhwTnRaYkQyTjZCaWxlRUE9

Effective URL: https://pital.shop/bFlQaWpxUFlVRnkwNFBzZ3BKbFc4MSszK2E0aXhTTmRUNTQ4SEdIM0VIV1Rlb3VVVHdwQjFrY0xBdEtQQW5EYmxpbzRISWowRmhaYjM0ellURkdtdzZTMENZYXhwTnRaYkQyTjZCaWxlRUE9Redirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site shows a simple math captcha with no credential collection; lack of reputation and unknown subdomain age raise moderate suspicion.

Risk Factors
Unranked domain
Unknown subdomain age (could be newly created)
Hosted on a generic cloud subdomain
Safety Factors
No malicious JavaScript detected
No external form submissions or credential exfiltration
No phishing or malware IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Math Captcha Verification

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(54%)

Domain Information

The domain name 'redirect-fb4b1.web.app' uses the application-focused generic top-level domain (.app) with subdomain 'redirect-fb4b1'. Count 3 characters in 'web' with one vowel and two consonants. Splitting it apart reveals one word: web. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of pital.shop

Page Load Overview

0.41s
Total Load Time
3
HTTP Requests
2
Domains
0 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:78 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism54% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
54%
healthcare medical
49%
adult content
44%
government public service
41%
finance banking
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2199.36.158.100United States
AS54113Fastly, Inc.
151.77.144.244France
AS16276OVH SAS
32--

Page Statistics

3
Requests
2
Unique Domains
1.8 KB
Total Size

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10531127394A7A88909B029248480B7140D6DA89BCF059C0C768C07A93FCEB46CE5FAE4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nYF6Goy9uXKf5DdfIfF7JUrdfACZqApe1L2B1iY:nY6ljmTEFsBpqAAV2x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1505:AAEQAQAIAAAAAAAACAACAIAQDgABEAgAgQAACAACAAAAAAAAAAAIAAAAAAACAAAAAAAAgAAABAACIQYAEAABCACAABAIAAEA

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:3fffffffffffffff
Perceptual Hash:87070707070f1f7f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#8798c5

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data