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Google Colab

Google Colab Vendor Cyber Rating & Cyber Score

google.com

Colab is a frictionless hosted Jupyter notebook that combines text, code, and outputs into a single document. Colab allows anybody to write and execute arbitrary python code using the latest ML accelerators (GPU/TPUs) through the browser, no setup required. It is especially well suited to machine learning, data analysis and education.


Google Colab A.I CyberSecurity Scoring

Google Colab
Company Information
Website:http://colab.google.com
Employees number:18
Number of followers:3,335
NAICS:513
Industry Type:Technology, Information and Internet
Homepage:google.com
Google Colab Risk Score (AI oriented)
Between 700 and 749
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Google ColabTechnology, Information and Internet
Updated:
21/08/2026
734/1000
Moderate
Ba
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Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
Google Colab Global Score (TPRM)
xxxx
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Google ColabTechnology, Information and Internet
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Score locked
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Findings

Google ColabModerate
Current Score
734Ba (MODERATE)
01000
1 incidents
-32 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
SEPTEMBER 2026
734Before Incident
AUGUST 2026
734Before Incident
JULY 2026
765Before Incident
Cyber Attack
01 Jul 2026Google Colab
Darktrace and Google: Hackers Use Fake Google Gemini Installer to Deploy Vidar Stealer and Steal Browser Credentials

Cybercriminals Exploit AI Hype to Distribute Vidar Stealer via Fake Google Gemini Installer

733After Incident
LOW-32
GOODAR1787295076
Cybercriminals Exploit AI Hype to Distribute Vidar Stealer via Fake Google Gemini Installer In July 2026, threat actors leveraged the growing interest in generative AI to distribute the Vidar information stealer through a fake Google Gemini installer hosted on Google Colab. Darktrace uncovered the campaign after investigating a compromise in an EMEA-based customer environment, where a user downloaded and executed a malicious file named Download_Google_Gemini_For_Windows.exe. Unlike traditional phishing attacks, this campaign exploited trust in Google’s branding and cloud services. Victims searching for AI tools were directed to a Google Colab page a legitimate Jupyter notebook service displaying a download prompt. The page redirected users to micronsoftwares[.]com, a spoofed "Windows Software Hub" offering the fake installer. While the full download chain couldn’t be reconstructed, SSL sessions to Google Colab preceded the execution of the malicious binary, strongly suggesting the Colab page as the initial infection vector. The downloaded ZIP archive contained the executable and a README file instructing users to run the binary with administrator privileges and disable antivirus exclusions classic social engineering tactics to bypass security controls. Darktrace identified the payload as a Go-compiled Vidar variant, communicating with Telegram-based command-and-control (C2) infrastructure via dtm[.]kijangturbo88[.]top. Post-execution, the malware connected to 91.98.98[.]86 and 91.98.111[.]49 over TCP/443, exfiltrating browser credentials, session cookies, autofill data, and cryptocurrency wallet artifacts. Darktrace detected the compromise through behavioral analytics, identifying suspicious process execution from the Downloads folder, anomalous encrypted outbound traffic, and credential-harvesting indicators. Its Autonomous Response capability blocked C2 communications and quarantined the infected endpoint. The incident highlights a shift in malware distribution tactics, where attackers abuse trusted cloud platforms and AI branding to reduce victim suspicion. By repackaging commodity malware as a legitimate AI tool, threat actors exploit enterprise adoption trends, making detection harder. Organizations are advised to restrict software installations to approved sources, monitor execution from Downloads/temporary directories, and hunt for Gemini-themed installers from unofficial channels. Indicators of Compromise (IoCs): - Files: Download_Google_Gemini_For_Windows.exe, GoogleAppInstaller.exe - IPs: 91.98.98[.]86, 91.98.111[.]49
INCIDENT DETAILS -
TYPE
Malware Distribution
MOTIVATION
Financial Gain (Credential Theft, Cryptocurrency Wallet Theft)
IMPACT
Data Compromised: Browser credentials, session cookies, autofill data, cryptocurrency wallet artifactsSystems Affected: Endpoint devices of affected usersOperational Impact: Potential unauthorized access to user accounts and financial assetsIdentity Theft Risk: High (PII and financial data exfiltrated)Payment Information Risk: High (Cryptocurrency wallet artifacts stolen)
DATA BREACH
Browser credentialsSession cookiesAutofill dataCryptocurrency wallet artifactsSensitivity Of Data: High (PII, financial data)Data Exfiltration: Yes (via C2 communications)Personally Identifiable Information: Yes (browser credentials, autofill data)
JUNE 2026
765Before Incident
MAY 2026
765Before Incident
APRIL 2026
765Before Incident
MARCH 2026
765Before Incident
FEBRUARY 2026
765Before Incident
JANUARY 2026
765Before Incident
DECEMBER 2025
765Before Incident
NOVEMBER 2025
765Before Incident
OCTOBER 2025
765Before Incident

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