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Security Scan Report: allegrolokalnie.fds-gffsad-efd-das3.top

Submitted: Oct 11, 2025, 8:30:51 AMCompleted: Oct 11, 2025, 8:33:51 AMpubliccompleted
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Summary

This website contacted 44 IPs in 3 countries across 8 domains to perform 26 HTTP transactions. The main domain is allegrolokalnie.fds-gffsad-efd-das3.top and was registered NaN years ago.

Submitted URL: https://allegrolokalnie.fds-gffsad-efd-das3.top/

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

New, unranked site with no malicious indicators; low risk but monitor due to age.

Risk Factors
Very new domain (<30 days) increases suspicion
Unranked domain (low reputation) adds moderate risk
Safety Factors
No malicious Indicators of Compromise
No credential or payment collection forms
No brand impersonation detected
No external links or redirects
Domain age information unavailable

Details

Page Title

fds-gffsad-efd-das3.top

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

cryptocurrency blockchain

(37%)

Domain Information

The domain name 'allegrolokalnie.fds-gffsad-efd-das3.top' uses the .top top-level domain; it also runs on subdomain 'allegrolokalnie'. The second-level label 'fds-gffsad-efd-das3' is 19 characters long containing three vowels alongside 12 consonants; it also includes 1 digit and 3 hyphens. Breaking it apart gives 9 words: fd, s, g, ff, sad, ef, d, das, 3. The median word length lands at 2 characters. 's' most often appears in German. Usage also turns up in Croatian and English contexts. Taken together, it feels German with character flair.

Screenshot

Security scan screenshot of https://allegrolokalnie.fds-gffsad-efd-das3.top/

Page Load Overview

4.66s
Total Load Time
26
HTTP Requests
8
Domains
60 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:de
Text Length:104 chars
Detector Agreement:100%
Language mismatch: Declared as de but detected as en

Website Classification

Primary Category

cryptocurrency blockchain37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
37%
government public service
34%
news media journalism
33%
technology software
28%
healthcare medical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
754.75.69.192Dublin, Leinster, Ireland
AS16509AMAZON-02
6142.250.186.33United States
AS15169GOOGLE
515.197.130.221United States
AS16509AMAZON-02
2142.250.184.238United States
AS15169GOOGLE
2216.58.206.78United States
AS15169GOOGLE
118.172.112.14United States
AS16509AMAZON-02
118.66.121.138United States
AS16509AMAZON-02
1142.250.185.226United States
AS15169GOOGLE
1142.250.181.228United States
AS15169GOOGLE
0142.250.184.225United States
AS15169GOOGLE
2644--

Detected Technologies1

HTTP/3
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110E24B7289F31935549F710AD5B9B349B24FE7977A821BF5704E83002F06B1E6A632BC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:fiXMf2wJDY6Fa8vMa/vvpXqk9B/HSVcqTEZ9eKD5SJvsXYwm3t:fQC/pXe4m3t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32999:ogcGEOIRa2GYBAE0CyBwwBk5iUzSHNAHwAxJhnQEpfCQFQIYwBgIU0og0igCCDkB5YbBgChAlEQJDDJEMYXKMQEOTABAwKAz

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:427e7e1818000000
Perceptual Hash:c4c433397d39395c
Difference Hash:96ccf4b221300400
Wavelet Hash:ffff7e7e3c000000
Color Hash:#783a4c

Other Hashes

Crop Resistant:96ccf4b221300400

Scan History

Scan history not available

Unable to load historical scan data