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
Blocksi IncTechnology, Information and Internet
Updated:
03/04/2026
03/04/2026
697/1000
Weak
B
Blocksi Inc Global Score (TPRM)
xxxx
Blocksi IncTechnology, Information and Internet
Score locked

Blocksi IncWeak
Current Score
697B (WEAK)
01000
1 incidents
-71 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JUNE 2026
699
MAY 2026
699
APRIL 2026
698
MARCH 2026
697
FEBRUARY 2026
766
Breach
12 Feb 2026 • Blocksi 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
695
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
MOTIVATION
IMPACT
DATA BREACH
REFERENCES
JANUARY 2026
766
DECEMBER 2025
766
NOVEMBER 2025
766
OCTOBER 2025
766
SEPTEMBER 2025
766
AUGUST 2025
766
JULY 2025
766
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