Security Scan Report: cm0xi.r.ag.d.sendibm3.com

Redirected to:
https://framgangsakademin.se/kurs/jan-olsson-forstark-din-cybersakerhe...
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Submitted: Sep 22, 2026, 10:11:28 AMCompleted: Sep 22, 2026, 10:12:16 AMpubliccompleted

This website contacted 49 IPs in 6 countries across 36 domains to perform 194 HTTP transactions. The main domain is framgangsakademin.se and was registered 17 years ago.

Submitted URL: https://cm0xi.r.ag.d.sendibm3.com/mk/cl/f/sh/SMK18yw1bp8nHJJBenyxjaXp4OYh/_jrmBRa_MdEE

Effective URL:

https://framgangsakademin.se/kurs/jan-olsson-forstark-din-cybersakerhe...
Redirected

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

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

No credential/payment form, no brand impersonation, no malware or IDS evidence; only a weak generic abuse-reputation tag and an email-redirect chain. ML phishing flag likely reflects security-course wording. Modest risk.

Risk Factors (2)
Cross-domain redirect chain from a third-party email marketing host obscures the true page domain
ML classifier returned a phishing-scam label (likely a false positive driven by security-course vocabulary)
Safety Factors (5)
No credential or payment form anywhere on the page — no data capture surface
Page is self-branded (Framgångsakademin), not impersonating another entity's brand
Coherent, detailed Swedish-language course catalogue with named instructor and articles — reads like a real business
No JavaScript malware (YARA), no IDS alerts, no Safe Browsing hit, no credential exfiltration
Entry host is a recognised email-marketing delivery domain, consistent with a legitimate newsletter link
Domain age information unavailable

Details

Page Title

Jan Olsson: Effektiva sätt att stärka din cybersäkerhet

Scan Type

public

Domain Name Analysis

You're looking at domain 'cm0xi.r.ag.d.sendibm3.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'cm0xi.r.ag.d'. The registrable portion 'sendibm3' spans 8 characters holding two vowels versus five consonants; it also includes 1 digit. It segments into three words: send, ibm, 3. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cm0xi.r.ag.d.sendibm3.com/mk/cl/f/sh/SMK18yw1bp8nHJJBenyxjaXp4OYh/_jrmBRa_MdEE

Page Load Overview

7.34s
Total Load Time
5.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:8,113 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam100% confidence
Type: spa
Method: ml+structural

All Detected Categories

phishing scam
100%
education learning
100%
technology software
99%
documentation technical
98%
government public service
98%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
50172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
3141.101.90.107France
AS200484Sendinblue SAS
3104.21.56.61Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3141.101.90.104United Kingdom
AS8075Microsoft Corporation
3141.101.90.105Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.64.150.216Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.178.199Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
3142.251.13.97Google · CDNUnited States
AS15169Google LLC
19449--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162A4FD517E462C78309F11DFC007564C218AEFEBD625D9E9F8FA2171B1B6CE036E22A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7e09Vs/uwpUZjQMNJk6ng3QVqcemh7Vx2ThG2fXRU:Z9dwpUZ1wU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:450391:tYCjNEwaEBSBXAIQBBF8IFQUCp8CSEFwoBCAJwMgVgXkMuJEDBqBziygUkCEhCAkADAUEbHBPEkBAm2YoCAoAqgBCEhg+3GE

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:5b181800004020ff
Perceptual Hash:c819c763b766b146
Difference Hash:9631b13189996167
Wavelet Hash:ff181919416131ff
Color Hash:#3f3a78

Scan History

Scan history not available

Unable to load historical scan data