Security Scan Report: abbott.mediaroom.com

Submitted: Nov 20, 2025, 4:41:15 PMCompleted: Nov 20, 2025, 4:44:10 PMpubliccompleted
Loading additional data...

Summary

This website contacted 58 IPs in 5 countries across 16 domains to perform 121 HTTP transactions. The main domain is abbott.mediaroom.com and was registered NaN years ago.

Submitted URL: https://abbott.mediaroom.com/2025-11-20-Abbott-to-acquire-Exact-Sciences,-a-leader-in-large-and-fast-growing-cancer-screening-and-precision-oncology-diagnostics-segments

The Cisco Umbrella rank of the primary domain is #131,663 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

Legitimate press release on a well‑established platform; low risk despite low ranking.

Risk Factors
Low Cisco Umbrella ranking (131,663) for a page that displays the Abbott brand, which is atypical for official brand domains
Safety Factors
Hosted on a standard, long‑standing domain (mediaroom.com) used for corporate press releases
No suspicious forms or data collection elements
Domain age information unavailable

Details

Page Title

Abbott to acquire Exact Sciences, a leader in large and fast-growing cancer screening and precision oncology diagnostics segments - Nov 20, 2025

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(95%)

Domain Information

Domain 'abbott.mediaroom.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'abbott'. Its registrable label 'mediaroom' stretches across 9 characters with 5 vowels and 4 consonants. It segments into two words: media, room. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abbott.mediaroom.com/2025-11-20-Abbott-to-acquire-Exact-Sciences,-a-leader-in-large-and-fast-growing-cancer-screening-and-precision-oncology-diagnostics-segments

Page Load Overview

1.30s
Total Load Time
121
HTTP Requests
16
Domains
707 KB
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-US
Text Length:19,123 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing95% confidence
Type: spa
Method: ml+structural

All Detected Categories

download file sharing
95%
social media network
66%
government public service
48%
healthcare medical
39%
corporate
35%

Detected Features

Search
Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
78104.17.27.170United States
AS13335CLOUDFLARENET
1265.8.131.115United States
AS16509AMAZON-02
765.9.175.121United States
AS16509AMAZON-02
565.9.175.96United States
AS16509AMAZON-02
423.218.208.236Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
3150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3162.247.243.29United States
AS54113FASTLY
223.55.48.163Palermo, Sicily, Italy
AS20940Akamai International B.V.
252.222.136.38United States
AS16509AMAZON-02
2188.114.97.3United States
AS13335CLOUDFLARENET
12158--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T161544D66E64A083E0233529DE39A7B8D716F9570E54148A1FDFF623003CADB511E7AEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:U36Uq7W9Q7/5fSuhe3yoKboNIgxDgHTBpoBth:U3ybU34bPg4XYT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:278795:FUWIIOAUMBUQARM2C0UTmChAywMVoLk2IrUAsQpCBQsIMMAsAAG1GOKcEJgghQcSRXB02vFAkSMOAEDAoWArhAIArjSIJnBR

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:000c7e7e7e7e7c7c
Perceptual Hash:c03e6b3e2e6a346a
Difference Hash:86dcdce4c4dcd8d0
Wavelet Hash:00007e7e7e7e7878
Color Hash:#4c931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data