Security Scan Report: macc.fccn.pt

Redirected to:
https://www.macc.fccn.pt/
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Submitted: May 4, 2026, 11:32:17 PMCompleted: May 4, 2026, 11:33:15 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 51 HTTP transactions. The main domain is macc.fccn.pt.

Submitted URL: https://macc.fccn.pt

Effective URL: https://www.macc.fccn.pt/Redirected

The Cisco Umbrella rank of the primary domain is #242,079 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

The site uses its own brand and an email form on an unknown‑age, low‑ranked domain, indicating a high risk of credential phishing.

Risk Factors
Unknown domain age
Brand claim on low‑ranked domain
Email collection form without clear purpose
Suspicious JavaScript constructor usage
External malicious IP listed in IoC matches
Domain age information unavailable

Details

Page Title

MACC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

The domain 'macc.fccn.pt' uses the Portuguese country-code top-level domain (.pt) and includes subdomain 'macc'. The registrable portion 'fccn' spans 4 characters containing 0 vowels alongside 4 consonants. Word splitting yields 2 words: fcc, n. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://macc.fccn.pt

Page Load Overview

4.83s
Total Load Time
77
HTTP Requests
9
Domains
7.6 MB
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-US
Text Length:4,729 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1334.160.236.44Kansas City, Missouri, United States
AS396982Google LLC
8198.185.159.144New York, New York, United States
AS53831Squarespace, Inc.
8146.75.120.237Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
8146.75.120.238Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
8142.251.13.95United States
AS15169Google LLC
8142.250.154.94United States
AS15169Google LLC
8198.185.159.145United States
AS53831Squarespace, Inc.
823.207.210.150Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8142.251.110.95United States
AS15169Google LLC
779--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD64B66E90B53167028BA1F097AA33095693D313CAD68EC4F49CC5B99FCBFD50C9325A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:fRHH1lWdxDdYDoT3g9G8Qt5s9yilu88JSCzZqwTs9iVAq6d9Mi:VC2yi/wD89t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:314040:IAZCCAABwCoABGA1AoYIUMELAtFQVCKYVOScnsi21ow0xQgxASMBn+QJRmCAgA3IkYwAQOUECwAEhAAAEMBVCAzQSkQIkTuC

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:ff00000000ffffff
Perceptual Hash:8a42fde5b3cd8c28
Difference Hash:c4cd61e94dcd131b
Wavelet Hash:ff00000000ffffff
Color Hash:#c587c3

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data