Security Scan Report: bomgar-app.it.tamu.edu

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 29 HTTP transactions. The main domain is tamu.edu and was registered 38 years ago.

Submitted URL: https://bomgar-app.it.tamu.edu

The Cisco Umbrella rank of the primary domain is #27,424 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Texas A&M University IT help desk support portal using BeyondTrust Remote Support; no phishing, malware, or credential-harvesting indicators detected.

Safety Factors (5)
Well-established university domain with 38 years of registration history.
No credential-harvesting or payment form fields.
No cross-origin credential submission or script exfiltration.
No malware, phishing, or reputation threat-intelligence findings.
Content is consistent with a legitimate university IT support portal.
Domain age information unavailable

Details

Page Title

Support Portal

Scan Type

public

Domain Name Analysis

You're looking at domain 'bomgar-app.it.tamu.edu' on the sponsored educational top-level domain (.edu); it also runs on subdomain 'bomgar-app.it'. The core label 'tamu' covers 4 characters holding 2 vowels versus 2 consonants. Word splitting yields two words: t, amu. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bomgar-app.it.tamu.edu

Page Load Overview

2.12s
Total Load Time
223 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Text Length:511 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
79%
corporate business
74%
documentation technical
52%
education
45%
download file sharing
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29128.194.42.49College Station, Texas, United States
AS3794Texas A&M University
291--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17DE1851B993E6D3E401644E5F0E0AF5484E78620D7207C90F1BF8ABA5BDEEC8B577528

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TM66AX24tI1tATYA05T+K5bu9Ee0eBds8dDBGQtBIFiB7b8BRCmKWazS:FJ/T6+6bu9EQBdRdrzS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7348:BnCUEACOROBGQAACnpYDVRx7FCBiAPAw5QgDACnEJUZKQEfFFDAAsQcILQAoQAIQdgAAnAAhBAbqKIkACImULICBBDRoA4w4

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:c3c7c3e7e7c3ffff
Perceptual Hash:b1654c6533676467
Difference Hash:9616960e0e160004
Wavelet Hash:0303030307033f3f
Color Hash:#78533a

Scan History

Scan history not available

Unable to load historical scan data