Security Scan Report: ac5k6.r.ag.d.sendibm3.com

Redirected to: https://dsm-conference.org/

Submitted: Nov 15, 2025, 3:22:19 PMCompleted: Nov 15, 2025, 3:23:46 PMpubliccompleted
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Summary

This website contacted 119 IPs in 0 countries across 20 domains to perform 78 HTTP transactions. The main domain is dsm-conference.org and was registered NaN years ago.

Submitted URL: https://ac5k6.r.ag.d.sendibm3.com/mk/cl/f/sh/6rqJfgq8dINmO7fYJeDCYvcQF09/eJ1kDZPnqBMy

Effective URL: https://dsm-conference.org/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Long‑standing domain (>10 years)
No forms collecting sensitive data
No suspicious content or brand impersonation
Domain age information unavailable

Details

Page Title

The 28th International DSM Conference – Dependency and Structure Modeling (DSM)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(34%)

Domain Information

You're looking at domain 'ac5k6.r.ag.d.sendibm3.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'ac5k6.r.ag.d'. The registrable portion 'sendibm3' spans 8 characters holding 2 vowels versus 5 consonants; bonus characters include 1 digit. Splitting it apart reveals three words: send, ibm, 3. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ac5k6.r.ag.d.sendibm3.com/mk/cl/f/sh/6rqJfgq8dINmO7fYJeDCYvcQF09/eJ1kDZPnqBMy

Page Load Overview

65.54s
Total Load Time
78
HTTP Requests
20
Domains
1.6 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
Text Length:3,250 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical34% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
34%
documentation technical
32%
government public service
26%
corporate
25%

Detected Features

Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
78172.217.23.110UnknownUnknown
0192.0.77.32UnknownUnknown
0142.250.185.78UnknownUnknown
0216.58.212.138UnknownUnknown
0104.18.37.40UnknownUnknown
0141.101.90.105UnknownUnknown
0192.0.78.18UnknownUnknown
0142.250.185.193UnknownUnknown
0142.250.185.86UnknownUnknown
0142.250.184.195UnknownUnknown
78119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11EA308B2516C08766B3A6385B106B319F057CB36CA894BF4B2F640BC9EC1EF509A735D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dYF2ypWiW1hRM/cZpGJtSqpYoOHy5VoV4/ULNmgRXTsJyiAo6GGlWQJK0LK53A9p:iFv2pGky5V+XTQeu0LK53ApV3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101891:imEAUDCIgaiAEkCiROlyFTZzAgYZENFRAsqBBIAJAgeQjhIMYiiJZSAAgqwA9gUoFCIGmZlGGEWDQChAAANBCWWARIHS5GoE

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:000000ffffffffff
Perceptual Hash:86064e6eecec3d25
Difference Hash:64e8d8001e0e080c
Wavelet Hash:000000ffc3e7e7ff
Color Hash:#3a5c78

Scan History

Scan history not available

Unable to load historical scan data