Security Scan Report: teamsmeeting.site

Redirected to:
https://teamsmeeting.site/Windows/invite.php
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is teamsmeeting.site and was registered 3 weeks ago.

Submitted URL: https://teamsmeeting.site

Effective URL:
https://teamsmeeting.site/Windows/invite.php
Redirected

Downloads:

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Microsoft Teams 'outdated client' page on a 4-day-old lookalike domain that pushes an executable (zecurit_agent_3.30.exe); IDS confirms phishing landing page and malware download. Do not run the file.

Risk Factors (5)
Impersonation of Microsoft Teams brand on a domain Microsoft does not own
Fake software-update social engineering ('client is outdated', countdown redirecting to download)
Executable file (zecurit_agent_3.30.exe) auto-delivered to visitors, consistent with RMM/remote-access malware deployment
IDS phishing and malicious-PE-download alerts corroborating the page's intent
Domain registered 4 days ago with no reputation, unranked in Cisco Umbrella
Domain age information unavailable

Details

Page Title

Microsoft Teams

Scan Type

public

Domain Name Analysis

You're looking at domain 'teamsmeeting.site' on the .site top-level domain while skipping any subdomain. The second-level label 'teamsmeeting' is 12 characters long containing five vowels alongside 7 consonants. Breaking it apart gives 2 words: teams, meeting. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Microsoft Your Microsoft Teams Client is Outdated! The latest version of Microsoft Teams will automatically download in a few seconds Please wait while we download the latest version for you... Down...

Page Load Overview

1.93s
Total Load Time
206 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:336 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
49%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.174.185Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.36.162.207Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
152.123.128.14Office365 · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
1104.18.19.203Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.21.80.61Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.36.162.222Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
152.123.129.14Office365 · CLOUDUnited States
AS8075Microsoft Corporation
87--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169B176E667B48025A1D2D4A439D2964937A8D0036B0FDDA53AEC016CDFC2BDAD47738D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nUU+6fsyf3CM5CCCuqCuJkIJUYRyGBr7nlg6GfhKksq4NISSJgdFxq0OUDizi/io:iyfyMcBu5uJFakwgr9I0Oiizi/io

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5447:gAQDIgAQGEDCqzoRCRCCAHKhABEQgCiIFKGEQEAGQIwSIAuiAsOCQgECAByYIpkAdEiACEQgYgENBEQAICCQAhJ7xpAkBAEk

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:00ffffe7e7e7ffff
Perceptual Hash:f64c5973664c1966
Difference Hash:02494c4d4d4d6c10
Wavelet Hash:00bc272727273f03
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data