Security Scan Report: wam.ae

Submitted: Mar 30, 2026, 3:35:12 AMCompleted: Mar 30, 2026, 3:36:28 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is wam.ae.

Submitted URL: https://wam.ae

The Cisco Umbrella rank of the primary domain is #625,659 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

No malicious indicators detected; low risk despite unknown domain age and low ranking.

Safety Factors
Standard hosting (no IPFS or cloud storage)
No credential or payment collection fields
No cross‑origin credential exfiltration observed
No network IDS alerts
Page title matches the domain (wam.ae)
Domain age information unavailable

Details

Page Title

wam.ae

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(56%)

Domain Information

Within the Emirati country-code top-level domain (.ae), 'wam.ae' is registered. The second-level label 'wam' is 3 characters long split between one vowel and two consonants. Breaking it apart gives two words: w, am. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wam.ae

Page Load Overview

0.93s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:282 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism56% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
56%
government public service
55%
documentation technical
54%
technology software
50%
adult content
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.54.19.210Sharjah, Emirate of Sharjah, United Arab Emirates
AS202024Telecommunications And Digital Government Regulatory Authority
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1723178F27A7E3249E2513871A76FB90DB2326534981CD025CC46F0504F8C5CAE1BDEAD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:m9dw1+Wq9vW399199nuo9M6/Anj6ADARbJ7klyQ++bxh1O:qw13Yv+9R3M6/4j66q17k9c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1598:AAgAEAAACAAAACAAAAAAAIAAACEAQAEAAIABAAAADBgAAAARQBYgEgBACEAAAAAACAkAAAAAAQAQACAAABAAAABAAAAABAAA

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#6a40bf

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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