Security Scan Report: firmequinharia.net

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 1 domain to perform 8 HTTP transactions. The main domain is firmequinharia.net and was registered 6 days ago.

Submitted URL: https://firmequinharia.net/

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Page matches an analyst-vetted fake 'AI trading platform' lead-funnel kit: CRITICAL YARA hit for SMS-verified lead harvesting, 6-day-old unranked domain, hidden third-party endpoints. Avoid; do not submit phone or personal data.

Risk Factors (6)
Matches an analyst-vetted AI-trading lead-funnel phishing kit family
CRITICAL high-precision YARA detection for SMS-verified lead harvesting to /api/leads
Domain only 6 days old while presenting an established-looking financial platform
Hidden, unexplained third-party endpoints (finsy4-magnam64.cfd, ph.splicer-lane.pro)
Obfuscation/encoding functions in inline JavaScript
HIGH IDS alert (Spamhaus DROP listed traffic)
Domain age information unavailable

Details

Page Title

Firme Quinhária — Plataforma de IA para gestão multi-exchange

Scan Type

public

Domain Name Analysis

The domain name 'firmequinharia.net' uses the network infrastructure generic top-level domain (.net) and has no subdomain. The registrable portion 'firmequinharia' spans 14 characters with seven vowels and 7 consonants. Segmentation suggests five words: firm, e, quin, hari, a. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://firmequinharia.net/

Page Load Overview

1.08s
Total Load Time
37 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt
Text Length:5,624 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
80%
corporate
35%
corporate business
30%
government public service
29%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4158.94.210.119Amsterdam, North Holland, Netherlands
AS202412Omegatech LTD
1172.67.149.79Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.21.95.214Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
85--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1634AB135960025A3B35196B3DF7B0AA92CD1039846C495F6FE47669FCBFA6A03370C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:EL+69bBLQxFcIIeYwsdU9Y+ukymAwmaSgpVYa23p7rI+iT3uQ/KUrFq9LhN3REyv:wBLcGIIcpukLNSIed0/K8y7r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73139:QABjqkIEoEwoV8EhKgBYQAFkZAQFYQ8CzaigAQBsmAzxJpAQggsAgrIJMtgCCMYCCEa0jwgCJJEAhgS1CE7QUKrGR1QAoIAi

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:ff00c08000c08001
Perceptual Hash:e8c989c989e9e9c9
Difference Hash:2315212595252541
Wavelet Hash:ff00c0c1c1c1d9ff
Color Hash:#bf409f

Scan History

Scan history not available

Unable to load historical scan data