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Blocksi Inc

Blocksi Inc Vendor Cyber Rating & Cyber Score

blocksi.net

Founded in 2011 and based in Palo Alto, CA, Blocksi provides three solutions under one unique set of dashboards and mobile apps. Our tools provide hyper-scalable content filtering, AI-powered classroom management, and 24/7/365 student safety monitoring with expert threat review. Designed to work in and out of school, Blocksi ensures a secure, focused learning environment—anywhere, anytime.


Blocksi Inc A.I CyberSecurity Scoring

Blocksi Inc
Company Information
Website:http://blocksi.net
Employees number:44
Number of followers:1,665
NAICS:513
Industry Type:Technology, Information and Internet
Homepage:blocksi.net
Blocksi Inc Risk Score (AI oriented)
Between 650 and 699
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Blocksi IncTechnology, Information and Internet
Updated:
03/04/2026
697/1000
Weak
B
AaaAaABaaBaBCaaCaC
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Blocksi Inc Global Score (TPRM)
xxxx
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Blocksi IncTechnology, Information and Internet
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Findings

Blocksi Inc
Blocksi IncWeak
Current Score
697B (WEAK)
01000
1 incidents
-71 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JUNE 2026
699Before Incident
MAY 2026
699Before Incident
APRIL 2026
698Before Incident
MARCH 2026
697Before Incident
FEBRUARY 2026
766Before Incident
Breach
12 Feb 2026Blocksi Inc
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

695After Incident
CRITICAL-71
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
766Before Incident
DECEMBER 2025
766Before Incident
NOVEMBER 2025
766Before Incident
OCTOBER 2025
766Before Incident
SEPTEMBER 2025
766Before Incident
AUGUST 2025
766Before Incident
JULY 2025
766Before Incident

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