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Security Scan Report: accounts.freemail.hu

Redirected to: https://accounts.freemail.hu/a/login

Submitted: Mar 28, 2026, 1:39:05 AMCompleted: Mar 28, 2026, 1:40:38 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 9 domains to perform 1 HTTP transaction. The main domain is accounts.freemail.hu.

Submitted URL: https://accounts.freemail.hu

Effective URL: https://accounts.freemail.hu/a/loginRedirected

The Cisco Umbrella rank of the primary domain is #252,731 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Login page on an unknown, low‑rank domain with heavily obfuscated script – treat as high‑risk phishing.

Risk Factors
Credential collection on low‑reputation/unknown‑age domain
Highly obfuscated JavaScript with extensive eval() usage
Absence of brand verification – generic login page on non‑official domain
Domain age information unavailable

Details

Page Title

Freemail

Scan Type

public

Language

🇭🇺

HU

(80% confidence)

Category

travel tourism

(67%)

Domain Information

Within the Hungarian country-code top-level domain (.hu), 'accounts.freemail.hu' is registered and includes subdomain 'accounts'. The registrable portion 'freemail' spans 8 characters with four vowels and four consonants. Tokenizing the label suggests two words: free, mail. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://accounts.freemail.hu

Page Load Overview

2.31s
Total Load Time
113
HTTP Requests
19
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇭🇺Hungarian
Code: hu
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hu
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:hu
Text Length:3,736 chars
Detector Agreement:67%

Website Classification

Primary Category

travel tourism67% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
67%
government public service
67%
news media journalism
66%
e-commerce shopping
65%
healthcare medical
64%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
123.160.150.117United States
AS16509Amazon.com, Inc.
12142.251.153.119United States
AS5483
12142.250.187.232United States
AS15169Google LLC
12145.236.99.51Böhönye, Somogy County, Hungary
AS5483Magyar Telekom Plc.
12185.51.66.13Hungary
AS47381Servergarden Kft.
12142.250.187.227UnknownUnknown
12172.217.168.78United States
AS15169Google LLC
1284.2.43.64Dunaharaszti, Pest County, Hungary
AS5483Magyar Telekom Plc.
1139--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13223A69D6451C4219417CCAB05371F1E50CCC437C92AEAE9FB6CC7A74F86AB7061EB8A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:RPmu1QuNN5x5cJ57i0vNQQXVH0KTseB64JYuRvVP0G0Sy2itpMnqI1KHWZiJBavA:VmK9NN5KCwH0KTsCIwvV8dvqNs1Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49679:BjChmkQRAZSgOlIYCMQBQ2UBKAMBgrFBRSONMVAhTGAKCKCTUm0EIGFAqChAbDgJgJUUjlAAAAzAQjKgIBMowBcgMFDJi4bP

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:2120383e3e3c3131
Perceptual Hash:877367269265784b
Difference Hash:cdc963e0ece1c767
Wavelet Hash:2139383e3e3f3135
Color Hash:#79b5d2

Other Hashes

Crop Resistant:cdc963e0ece1c767,c5696ae0e4606365

Scan History

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