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Security Scan Report: nwlg.org

Submitted: Dec 18, 2025, 6:16:04 AMCompleted: Dec 18, 2025, 6:18:02 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is nwlg.org and was registered NaN years ago.

Submitted URL: https://nwlg.org/

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Site impersonates major brands on an unrelated domain, posing a high phishing risk.

Risk Factors
Brand impersonation on a non‑official, unranked domain
Domain does not belong to the claimed brands (Google/BT)
Domain age information unavailable

Details

Page Title

Studenten Karriere Portal Ausbildung | NWLG-BLOG |

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain 'nwlg.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. Its registrable label 'nwlg' stretches across 4 characters split between 0 vowels and 4 consonants. Segmentation suggests two words: nw, lg. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nwlg.org/

Page Load Overview

35.19s
Total Load Time
3
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:720 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
65%
adult content
56%
government public service
47%
phishing scam
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
387.140.86.116Reichelsheim, Hesse, Germany
AS3320Deutsche Telekom AG
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1602594D4908430E42323922EE685BD585637AFE0E7524FEDF0AF910C4BC6641EAD67F9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:a6+fcLJnJd0Px0IFT7htVb8HN4feSudks0C3Ekln85RLts/4SrTCVhIai5WVLOE4:f+G3d2OIFT7hDgHweTCftEM/a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1017791:eV0UJAiiQYBNAtkRBIYSaBRQAAIo0IESQMK5QmEGAIhiYmBoAJKSFigAsgsTED4CIihAxEADivuaKAgUToEAEgICAUkMBNBo

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:81f3ffffffffff00
Perceptual Hash:e9e969e949bc1292
Difference Hash:33031032120f2c3b
Wavelet Hash:81e1dfdbfb838300
Color Hash:#c58787

Scan History

Scan history not available

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