Security Scan Report: fghse.r.ag.d.sendibm3.com

Redirected to:
https://boostkungen.se/product/kop-tiktok-visningar/
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Submitted: Sep 8, 2026, 5:23:46 PMCompleted: Sep 8, 2026, 5:25:35 PMpubliccompleted

Summary

This website contacted 17 IPs in 5 countries across 14 domains to perform 2 HTTP transactions. The main domain is boostkungen.se and was registered 30 years ago.

Submitted URL: https://fghse.r.ag.d.sendibm3.com/mk/cl/f/sh/SMK1E8tHeGLdaZQgYKfgUvMpOf6m/f0eC4cVOUEgy

Effective URL: https://boostkungen.se/product/kop-tiktok-visningar/Redirected

The Cisco Umbrella rank of the primary domain is #70,266 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The page sells TikTok view packages, shows no credential or payment collection forms, and lacks malicious indicators, resulting in a low‑risk classification.

Safety Factors
Self‑branding aligns with domain
Established domain age and moderate reputation
Absence of malicious scripts or external IoCs
Domain age information unavailable

Details

Page Title

Köp Svenska TikTok Visningar från 2 kr | Swish & Apple Pay

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

social media network

(99%)

Domain Information

Domain 'fghse.r.ag.d.sendibm3.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'fghse.r.ag.d'. The second-level label 'sendibm3' is 8 characters long with two vowels and 5 consonants, plus one digit. Segmentation suggests three words: send, ibm, 3. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fghse.r.ag.d.sendibm3.com/mk/cl/f/sh/SMK1E8tHeGLdaZQgYKfgUvMpOf6m/f0eC4cVOUEgy

Page Load Overview

5.63s
Total Load Time
131
HTTP Requests
14
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv-SE
Text Length:43,982 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
99%
entertainment media
97%
technology software
78%
e-commerce shopping
64%
adult content
57%

Detected Features

Search
Comments
OG: product

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
192.24.160.181Vilnius, Vilnius, Lithuania
AS47583Hostinger International Limited
7141.101.90.107Lithuania
AS200484Sendinblue SAS
7172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
7141.101.90.106Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.18.37.40Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7216.239.32.36Google · CDNUnited States
AS15169Google LLC
7142.251.20.156Google · CDNUnited States
AS15169Google LLC
7142.251.127.95Google · CDNUnited States
AS15169Google LLC
723.45.103.56Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
723.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13117--

Page Statistics

131
Requests
13
Unique Domains
1.8 MB
Total Size

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D554B9F2D4BC603B714B32EC76486B5FB6C2520ACF82245563F9A26DE742F5D26B110E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OaeLZJECymh5YtsbjCspF3TxdU0XkNaISge/unD0Y0Ox0Fx0Cx02x0Z0Zx090Uya:o6gYCkNaISg0WwOaFFz67ocincCggPM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:296385:pzY1eAhwiAEi9sBxhTiG8SBEUICg68lGAxBCtJMJBEIglBBfOgQBCVAsRCzEwEACAtHAhJEEEExMFnEQsBQDBuyx8wsxiMJi

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:008f8f8fcfffffff
Perceptual Hash:b83847c7474f4746
Difference Hash:b73c3e3e342a1e3a
Wavelet Hash:0083878783cfcfde
Color Hash:#75e06c

Scan History

Scan history not available

Unable to load historical scan data