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Big Health

Big Health Vendor Cyber Rating & Cyber Score

bighealth.com

We make it easy to access effective mental health care anywhere, anytime. Designed by leading clinical experts, Big Health’s comprehensive mental health solution and app-based treatments expand access to gold standard mental health care. Our offerings are clinically proven to deliver great outcomes, backed by industry-leading research and randomized controlled trials. Our model simplifies access for employers, payers, and patients, which allows us to create an inclusive, scalable, and affordable mental health ecosystem for all. Please note that Big Health will never contact job candidates via text message or any other messaging platform including Telegram. All official correspondence will occur through email. If you have concerns please


Big Health A.I CyberSecurity Scoring

Big Health
Company Information
Website:https://www.bighealth.com
Employees number:146
Number of followers:32,108
NAICS:62133
Industry Type:Mental Health Care
Homepage:bighealth.com
Big Health Risk Score (AI oriented)
Between 650 and 699
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Big HealthMental Health Care
Updated:
13/03/2026
688/1000
Weak
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AaaAaABaaBaBCaaCaC
Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
Big Health Global Score (TPRM)
xxxx
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Big HealthMental Health Care
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Findings

Big Health
Big HealthWeak
Current Score
688B (WEAK)
01000
1 incidents
-68 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JULY 2026
693Before Incident
JUNE 2026
693Before Incident
MAY 2026
691Before Incident
APRIL 2026
690Before Incident
MARCH 2026
689Before Incident
FEBRUARY 2026
755Before Incident
Breach
12 Feb 2026Big Health
Google, Kontera, Blocksi and Big Star Labs: 287 Malicious Chrome Extensions Steal Browsing Data from 37.4 Million Users

Millions of Chrome Users Affected by Data-Leaking Extensions in Large-Scale Investigation

687After Incident
CRITICAL-68
GOOBLOKONBIG1770906371
Millions of Chrome Users Affected by Data-Leaking Extensions in Large-Scale Investigation A recent security investigation has exposed 287 Chrome extensions secretly transmitting users’ browsing data to remote servers, impacting an estimated 37.4 million installs roughly 1% of Chrome’s global user base. Researchers developed an automated testing pipeline to detect this "spying" behavior at scale, analyzing network traffic rather than relying on extension permissions or descriptions. The team ran Chrome in a Docker container, routing traffic through a man-in-the-middle (MITM) proxy to monitor outbound data. By visiting controlled web addresses, they identified extensions that leaked URLs or other sensitive information. Their method measured traffic growth relative to URL length, using a leakage metric to flag extensions sending data to third parties. Extensions with a leakage ratio (R) ≥ 1.0 were classified as "definitely leaking," while those with 0.1 ≤ R < 1.0 underwent manual review. The scanning effort required 930 CPU-days, with each extension taking about 10 minutes to analyze. To prevent evasion, the researchers withheld full technical details of their detection methods. The findings, including a detailed report and interactive HTML version, were published on GitHub. The extensions sent data to a mix of well-known analytics firms, data brokers, and obscure actors, including Similarweb, Big Star Labs (linked to Similarweb), Curly Doggo, Offidocs, and Chinese-linked entities. Leaked URLs often contained personal identifiers, password reset links, document names, and internal admin paths, posing risks for privacy violations and targeted attacks. To track downstream use, the team deployed "honey URLs" decoy links designed to attract scrapers. Multiple IP ranges, including those tied to Kontera (AWS NAT endpoints), HashDit, and Blocksi AI Web Filter, repeatedly accessed these links, suggesting the data was re-queried or resold. The investigation highlights the scale and sophistication of browser extension-based data collection, with implications for both individual users and organizations.
INCIDENT DETAILS -
TYPE
Data Leakage
MOTIVATION
Data CollectionSurveillanceResale of User Data
IMPACT
Data Compromised: Browsing data, URLs containing personal identifiers, password reset links, document names, internal admin pathsSystems Affected: Chrome browser extensionsBrand Reputation Impact: Potential reputational damage to Chrome and affected entitiesLegal Liabilities: Potential regulatory violations (e.g., GDPR, CCPA)Identity Theft Risk: High
DATA BREACH
Type Of Data Compromised: Browsing data, URLs, personal identifiers, password reset links, document names, internal admin pathsSensitivity Of Data: HighData Exfiltration: YesPersonally Identifiable Information: Yes
JANUARY 2026
755Before Incident
DECEMBER 2025
755Before Incident
NOVEMBER 2025
755Before Incident
OCTOBER 2025
755Before Incident
SEPTEMBER 2025
755Before Incident
AUGUST 2025
755Before Incident

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