Incident Score: Analysis & Impact (LASGOO1776169942)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of LastPass's Cyber Attack and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts LastPass Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the LastPass breach identified under incident ID LASGOO1776169942.
The analysis begins with a detailed overview of LastPass's information like the linkedin page: https://www.linkedin.com/company/lastpass, the number of followers: 40720, the industry type: Computer and Network Security and the number of employees: 782 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 100 and after the incident was 100 with a difference of 0 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on LastPass and their customers.
A newly reported cybersecurity incident, "Omnistealer: Malware Exploiting Blockchain for Undeletable Command-and-Control", has drawn attention.
A newly identified info-stealer, Omnistealer, leverages public blockchains like TRON, Aptos, and Binance Smart Chain to host its malicious infrastructure, making it nearly impossible to remove.
The disruption is felt across the environment, affecting Password managers (LastPass, cloud-synced tools), Browsers (Chrome, Firefox), Cloud storage (Google Drive), Crypto wallets (MetaMask, Coinbase Wallet, 60+ others), and exposing Over 300,000 credentials, with nearly 300,000+ records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Traditional takedown methods are ineffective against blockchain-based C2 infrastructure. Organizations must enhance monitoring for blockchain transaction-based malware delivery and improve employee training to recognize social engineering tactics (e.g., fake job offers), and recommending next steps like Implement multi-factor authentication (MFA) for all critical systems and crypto wallets, Monitor blockchain transactions for malicious payloads or encrypted C2 commands and Educate employees on recognizing social engineering attacks, especially fake job offers.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Phishing: Spearphishing Link (T1566.002) with high confidence (90%), with evidence including fake job offers via LinkedIn or Upwork, and luring them into downloading and executing code and Drive-by Compromise (T1189) with moderate to high confidence (70%), supported by evidence indicating downloading and executing code from a seemingly legitimate GitHub repository. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with high confidence (90%), supported by evidence indicating victims...executing code from a seemingly legitimate GitHub repository and Command and Scripting Interpreter: PowerShell (T1059.001) with moderate confidence (60%), supported by evidence indicating fetches the final payload by reading encrypted data from blockchain transactions. Under the Persistence tactic, the analysis identified Compromise Client Software Binary (T1554) with moderate to high confidence (70%), supported by evidence indicating malware fragments...embedded within blockchain transactions. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (90%), supported by evidence indicating encrypted commands, malware fragments, and staging code within blockchain transactions, Dynamic Resolution: Domain Generation Algorithms (T1568.002) with moderate to high confidence (80%), supported by evidence indicating blockchain transactions...censorship-resistant command-and-control (C2) network, and Application Layer Protocol: DNS (T1071.004) with moderate confidence (50%), supported by evidence indicating blockchain-based C2 infrastructure evades traditional takedown methods. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with high confidence (95%), supported by evidence indicating targeting...LastPass and cloud-synced tools...browsers (Chrome, Firefox), Steal Web Session Cookie (T1539) with high confidence (90%), supported by evidence indicating extract saved logins and session data from browsers, and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating cloud storage credentials, such as Google Drive. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating comprehensive data harvester...saved logins, session data, crypto wallets and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating targeting...password managers, browsers, cloud storage credentials. Under the Command and Control tactic, the analysis identified Ingress Tool Transfer (T1105) with high confidence (90%), supported by evidence indicating fetches the final payload by reading encrypted data from blockchain transactions and Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating blockchain transactions...censorship-resistant command-and-control (C2) network. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 300,000 credentials have already been compromised and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating data harvester...cloud storage credentials, such as Google Drive. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no evidence of encryption, but high-risk data exfiltration and Account Access Removal (T1531) with moderate confidence (60%), supported by evidence indicating crypto wallets...MetaMask and Coinbase Wallet compromised. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- LastPass Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/lastpass/incident/LASGOO1776169942
- LastPass CyberSecurity Rating page: https://www.rankiteo.com/company/lastpass
- LastPass Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/lasgoo1776169942-lastpass-google-cyber-attack-april-2026/
- LastPass CyberSecurity Score History: https://www.rankiteo.com/company/lastpass/history
- LastPass CyberSecurity Incident Source: https://www.malwarebytes.com/blog/news/2026/04/omnistealer-uses-the-blockchain-to-steal-everything-it-can
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf