Security Scan Report: primeirosanos.iscte-iul.pt

Redirected to:
https://www.zawayaplus.net/archives/34829
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Submitted: May 3, 2026, 2:14:12 PMCompleted: May 3, 2026, 2:15:56 PMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 16 domains to perform 71 HTTP transactions. The main domain is zawayaplus.net and was registered NaN years ago.

Submitted URL: https://primeirosanos.iscte-iul.pt/wp/archives/434

Effective URL: https://www.zawayaplus.net/archives/34829Redirected

The Cisco Umbrella rank of the primary domain is #197,009 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 86%

2
Risk Score

The site appears to be a low‑risk news article with no phishing or malware indicators, though low domain ranking and heavy JS obfuscation suggest caution.

Risk Factors
Low Cisco Umbrella ranking (#197,009) for the domain
Critical JavaScript obfuscation score (high entropy/minification)
Two redirects from the original to a different domain
Safety Factors
No malicious IoC matches
No forms collecting passwords or payment information
No network IDS alerts
Article content with no brand impersonation claims
Domain age information unavailable

Details

Page Title

وفاة هاني شاكر أمير الغناء العربي ... سبب وفاة هاني شاكر - زوايا بلس

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

social media network

(100%)

Domain Information

Within the Portuguese country-code top-level domain (.pt), 'primeirosanos.iscte-iul.pt' is registered, featuring subdomain 'primeirosanos'. The core label 'iscte-iul' covers 9 characters holding 4 vowels versus 4 consonants, plus 1 hyphen. Tokenizing the label suggests four words: is, cte, i, ul. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://primeirosanos.iscte-iul.pt/wp/archives/434

Page Load Overview

6.55s
Total Load Time
102
HTTP Requests
19
Domains
1.7 MB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:80%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:63,456 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network100% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
100%
entertainment media
100%
healthcare medical
100%
news media journalism
100%
blog personal website
100%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1823.67.132.85Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
6142.251.14.155United States
AS15169Google LLC
6142.250.154.95United States
AS15169Google LLC
63.161.82.3United States
AS16509Amazon.com, Inc.
6192.178.183.95United States
AS15169Google LLC
6184.33.68.201Boardman, Oregon, United States
AS16509Amazon.com, Inc.
6142.251.20.94United States
AS15169Google LLC
6142.251.13.97United States
AS15169Google LLC
6188.114.96.3United States
AS13335Cloudflare, Inc.
623.53.42.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10215--

Detected Technologies4

WordPressv6.9.4
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1889309F273088436162747CEF0B0B368D4766C16DF66A0B476FF31148796963A25B2BE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TnUtC3bypifkWKag45RmDZSyBwXaA8Nv0O3XsByB13r/i74Xl1a4WsHbNHgd3Tqe:TnUtC2ryPjXmBom274Xl1a45bNHgd3TR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:97666:QgQWDDgAWBAhIB8HHkFoAG4IDAECIPq7CmSABAwFQiAbCCIMsVsDkEEZWnBQACACRTEGV1nyccZCLJhoACAgCkAeBjgCVhDc

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:ffffffc3c3c3c3ff
Perceptual Hash:a49f9b341c348f8e
Difference Hash:20ccc696969696cc
Wavelet Hash:9ce6f3c343434366
Color Hash:#3a7852

Scan History

Scan history not available

Unable to load historical scan data