Security Scan Report: fidex.se

Submitted: Sep 25, 2026, 9:40:09 AMCompleted: Sep 25, 2026, 9:40:47 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 58%

5
Risk Score

Newly registered, unranked Swedish whistleblowing-service site showing its own brand; no credential/payment harvesting, no impersonation, no YARA/IDS hits. Age and lack of reputation are the only concerns, so risk is moderate at most.

Risk Factors
Very newly registered domain (0 days old)
Domain absent from Cisco Umbrella top 1M ranking
Contact form submits data cross-origin to a third-party form backend (forms.ws-platform.net)
Safety Factors
No password, disguised-password, or payment fields present (verified form facts)
No brand impersonation — page displays its own 'Fidex' brand matching the fidex.se domain
No JavaScript malware (YARA), no known phishing kit, no native-YARA hits
No network IDS/Suricata alerts and no JavaScript credential exfiltration
Content reads as a coherent legitimate service description (whistleblowing SaaS) with consistent branding
Verdict names no specific threat, and DOM analysis found no password field (real or disguised) or payment field and no other hard signal — elevated score unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

Domain 'fidex.se' uses the Swedish country-code top-level domain (.se). Count 5 characters in 'fidex' split between 2 vowels and 3 consonants. It segments into 2 words: fide, x. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fidex.se

Page Load Overview

2.00s
Total Load Time
2.4 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv
Text Length:3,364 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
84%
government public service
83%
technology software
78%
documentation technical
59%
adult content
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1031.15.10.30Czech Republic
AS25234ACTIVE 24, s.r.o.
7104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.16.91.63Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.16.92.63Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.16.88.87Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.16.125.49Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7100.63.226.54Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
7104.19.229.21Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.19.230.21Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.18.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7310--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCE33850E963C63F1D6F23377BD7EE03ABA814C29A39BFD670D690804F885B52505E86

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ecBUSUO2Tl6X3f3gkRQf27M22Y2k2yjAuTSZfAMsM:HBUSUO2TUfe2b2Y2k2yjAuTSZfAMsM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157286:GgbcBYQG4gfB0AEw0AEQgwGQaEFSsgxAlAgJlgygYQ4sAACADpIcnZZSUyEoIgZBBFIUAMDIHDwIKQMAHYUGguoJYKABIBBD

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:ffd1f9c1e3df8787
Perceptual Hash:b0cf308d6739c783
Difference Hash:2f2b83970f3d3f0f
Wavelet Hash:f7d1f0c0e1878783
Color Hash:#bfb940

Scan History

Scan history not available

Unable to load historical scan data