Security Scan Report: tlm.epaysystems.com

Submitted: Jan 17, 2026, 2:17:28 PMCompleted: Jan 17, 2026, 2:19:12 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is tlm.epaysystems.com and was registered NaN years ago.

Submitted URL: https://tlm.epaysystems.com

The Cisco Umbrella rank of the primary domain is #196,322 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 90%

7
Risk Score

Site mimics Microsoft on a low‑rank domain; treat as high‑risk phishing.

Risk Factors
Brand impersonation: Microsoft branding on an unrelated, low‑rank domain
Low Cisco Umbrella ranking for a site claiming a major brand
Domain age information unavailable

Details

Page Title

IIS Windows Server

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'tlm.epaysystems.com' uses the commercial generic top-level domain (.com) and includes subdomain 'tlm'. The core label 'epaysystems' covers 11 characters split between 3 vowels and 8 consonants. Word splitting yields three words: e, pay, systems. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tlm.epaysystems.com

Page Load Overview

6.81s
Total Load Time
3
HTTP Requests
1
Domains
99 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:18 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
352.154.160.156Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C101237810155249E292962071F1BF10A981878FD5CFCD0CF491606FD29434AD4333D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hnM9iuXI9PG6QclfVI+MYqGHwy090bEPLPXf5exQ4xXEF9rDPOb0lIjoWj:hM0mIJGsq+MeHbeReu1PrTdU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:666:gAAAhEQAAAAQAACAAAAAAAAAAAAAAAAAAAAEABAAABAAEAAAAAAAAAAAAAAAAAAAACAAAIAAAgAAAAiBAAAAIAAAAAAAAQAA

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:3838141c18000000
Perceptual Hash:cccee7c199302667
Difference Hash:626225b152240000
Wavelet Hash:f8f8f4dc3b030303
Color Hash:#33862d

Scan History

Scan history not available

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