Gozi C2 Detection Scanner
Identify the stealthy Gozi trojan within your network. Gozi is a banking trojan known for its advanced obfuscation techniques, which have enabled data breaches across multiple sectors, and have affected millions. Ensure your systems are safeguarded against this persistent threat.
Short Info
Level
High
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
10 days 23 hours
Scan only one
Domain, IPv4, Subdomain
Toolbox
-
The Gozi Malware is a notorious banking Trojan primarily targeting financial institutions and their customers. It is used by cybercriminals for unauthorized access to sensitive information, such as banking credentials. Due to its ability to evade detection, it poses a significant threat to both businesses and individuals. Gozi has been involved in multiple high-profile breaches, highlighting its potential for significant financial damage. Organizations investing in cybersecurity often encounter Gozi during threat analysis and incident response. It remains a relevant concern for those relying on Internet-connected systems for financial transactions.
The potential risk involves stealth communication techniques characteristic of command-and-control (C2) networks. The Gozi Malware employs advanced obfuscation methods, making it difficult for traditional detection mechanisms to identify. It operates by maintaining persistent communication with a remote malicious server, thereby continuously relaying stolen information. This sophisticated operation allows cyber attackers to execute unauthorized commands on compromised systems. Its targeted C2 infrastructure poses a challenge due to the evolving nature of its network configurations. Cybersecurity professionals must stay vigilant as new indicators of compromise emerge.
Technically, the potential risk is linked to how Gozi communicates with its C2 servers using SSL/TLS protocols. The tool checks for specific identifiers within the TLS certificates, particularly focusing on the issuer distinguished name (issuer_dn) to differentiate malicious traffic. The matchers in the code aim to detect these traits by looking for known patterns associated with Gozi. Misconfiguration or existing weaknesses in certificate validation can exacerbate the risk. Also, since Gozi frequently changes its C2 parameters, timely updates to threat intelligence are crucial for effective detection.
When attacks, this malware can result in severe consequences, such as large-scale data breaches and financial losses. Compromised systems may become part of a broader botnet used for further criminal activities. Personal and organizational data integrity is at risk, potentially leading to reputational damage and legal repercussions. The financial burden due to regulatory fines and remediation efforts often accompanies successful exploits. This persistent threat requires continuous monitoring and swift incident response actions. Therefore, staying ahead of adversaries necessitates robust detection mechanisms and proactive security measures.
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