Security Scan Report: fnweb.de

Redirected to:
https://www.fnweb.de/
Site favicon
Submitted: May 11, 2026, 11:09:28 PMCompleted: May 11, 2026, 11:11:39 PMpubliccompleted

This website contacted 14 IPs in 2 countries across 71 domains to perform 289 HTTP transactions. The main domain is fnweb.de.

Submitted URL: https://fnweb.de

Effective URL:

https://www.fnweb.de/
Redirected

The Cisco Umbrella rank of the primary domain is #679,943 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site hosts login/registration forms for a local news brand, has low ranking and unknown age, but lacks concrete malicious indicators; treat as moderate risk.

Risk Factors (3)
Unknown domain age
Low Umbrella ranking
High JavaScript obfuscation without clear malicious behavior
Safety Factors (3)
Self‑branding matches domain (local news site)
No external credential exfiltration or cross‑origin form submission
No Indicators of Compromise or YARA malware matches
Domain age information unavailable

Details

Page Title

Aktuelle Nachrichten aus Tauberbischofsheim und der Region - Fränkische Nachrichten

Scan Type

public

Domain Name Analysis

Domain 'fnweb.de' uses the German country-code top-level domain (.de) and has no subdomain. The registrable portion 'fnweb' spans 5 characters with 1 vowel and 4 consonants. It segments into two words: fn, web. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fnweb.de

Page Load Overview

7.84s
Total Load Time
2.9 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:2,879 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29136.110.231.186Kansas City, Missouri, United States
AS396982Google LLC
2023.67.139.70Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
203.121.11.141Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2018.66.147.86United States
AS16509Amazon.com, Inc.
20195.181.170.19Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2079.127.216.203Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
20104.18.144.126United States
AS13335Cloudflare, Inc.
2085.9.204.144Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
20104.18.160.126United States
AS13335Cloudflare, Inc.
2046.22.41.108Germany
AS61157PlusServer GmbH
28914--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19AB486B1847318BDE64BB70AF79C7BC5CA076E9BD52A1243D8C80AB4166054EF483DBD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:KTBman5HkijIwcmhtFuzhgP+kVlp1H2vqZtFXiCgFg:KTBUijYmozh0lpNfzj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500074:wQgiioAUIFJFO4THwBRcAIO4ALGCCSKFsAyAwdC0QsIQoWzBAHgQQhCAGAg1QiEgBGaozICgqiAxxBQBKEAmmmYJjyEbuAAG

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:3c3c3c3c00000000
Perceptual Hash:8acf3c3434737474
Difference Hash:69696969150b1b0f
Wavelet Hash:3c3d3d3d01010181
Color Hash:#ac5374

Scan History

Scan history not available

Unable to load historical scan data