Security Scan Report: www.ibsf.org

Submitted: Jan 4, 2026, 10:22:26 PMCompleted: Jan 4, 2026, 10:25:08 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is ibsf.org and was registered NaN years ago.

Submitted URL: https://www.ibsf.org/en/news/detail/two-woman-bob-olympic-champions-nolte-levi-win-first-ibsf-world-cup-in-olympic-year-2026

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate; no security concerns detected.

Safety Factors
Official International Bobsleigh & Skeleton Federation domain (ibsf.org)
Long‑standing domain registration (since 2008)
No suspicious content or redirects observed
Domain age information unavailable

Details

Page Title

www.ibsf.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

You're looking at domain 'www.ibsf.org' on the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The registrable portion 'ibsf' spans 4 characters split between one vowel and three consonants. Segmentation suggests 2 words: ib, sf. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ibsf.org/en/news/detail/two-woman-bob-olympic-champions-nolte-levi-win-first-ibsf-world-cup-in-olympic-year-2026

Page Load Overview

114.36s
Total Load Time
43
HTTP Requests
9
Domains
3.0 MB
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-GB
Text Length:8,861 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: webapp
Method: structural

All Detected Categories

news/blog
40%
news
30%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4318.194.193.155Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
431--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T161048F773296063D86558498E05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszd2bMy8Old4:JhoC9JSqzzbs6o3Sj3gcrsx2eAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184627:ACQYwQAWcniBr0UEiWhEkCAVYZQIPKAuiTZQDRgEBK2BNYNEsUwCGwYigIDDESFEgSGSAhEMVBB6EIYJJGHiAiqBCANViABU

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:0018180600000000
Wavelet Hash:fcdcc4f000000000
Color Hash:#1f4a93

Other Hashes

Crop Resistant:0018180600000000

Scan History

Scan history not available

Unable to load historical scan data