Security Scan Report: www.yabiladi.com

Redirected to:
https://en.yabiladi.com/articles/details/196735/bayern-munich-reach-ag...
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Submitted: Jun 19, 2026, 10:40:58 PMCompleted: Jun 19, 2026, 10:42:42 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 10 domains to perform 2 HTTP transactions. The main domain is en.yabiladi.com and was registered NaN years ago.

Submitted URL: https://www.yabiladi.com/articles/details/196735/bayern-munich-reach-agreement-principle.html

Effective URL: https://en.yabiladi.com/articles/details/196735/bayern-munich-reach-agreement-principle.htmlRedirected

The Cisco Umbrella rank of the primary domain is #413,814 of the top 1 million websites

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

The site harvests credentials via JavaScript exfiltration despite being a news article; confirmed phishing scam.

Risk Factors
Credential exfiltration to external domain
Multiple password fields on non‑login article page
External JavaScript network target
High number of credential‑collecting forms
Domain age information unavailable

Details

Page Title

Bayern Munich reach agreement in principle for Morocco's Ismael Saibari

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(51%)

Domain Information

The domain 'www.yabiladi.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 8 characters in 'yabiladi' with 4 vowels and 4 consonants. It segments into 2 words: ya, biladi. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.yabiladi.com/articles/details/196735/bayern-munich-reach-agreement-principle.html

Page Load Overview

3.39s
Total Load Time
97
HTTP Requests
28
Domains
1.3 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
Text Length:2,786 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical51% confidence
Type: webapp
Method: ml+structural

All Detected Categories

healthcare medical
51%
adult content
35%
news/blog
20%

Detected Features

Login Form
Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13172.67.149.163United States
AS13335Cloudflare, Inc.
1223.52.181.124Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
12172.67.74.105United States
AS13335Cloudflare, Inc.
12104.21.95.239United States
AS13335Cloudflare, Inc.
12104.16.80.73United States
AS13335Cloudflare, Inc.
12151.101.129.155United States
AS54113Fastly, Inc.
12146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
12142.251.20.102United States
AS15169Google LLC
978--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T185740292B16C44BA190F0BCFE1A4B900506EF3BD88D264D15CF876B8F786C7539AF958

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4I5RZdgDAjHlGkFy5VFy5oXIL7Z/vDqZv:FgDAjHlTFy5VFy5oJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:366385:YgEA2cESVsNUpLADAKoAgFAJUlG0eBzAQIEKgQAzHEF0bI2PEpZEFEgAEiDKBJkiCMAygphC2OQSALODJejCgUhxBwRcDQAh

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:3c3c3c3c3c3c3c3c
Perceptual Hash:961e1e1e1e5e5646
Difference Hash:68e0686868686068
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#2d8664

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data