Also known as: Network Battalion 65
Network Battalion 65 is an hactivist group with ties to Anonymous, known for attacking Russian companies and performing hack-and-leak operations.
Executive Summary
NB65, an Anonymous-affiliated hacktivist group, targets Russian companies with DDoS and hack-and-leak attacks, aiming to disrupt operations and leak sensitive data.
Goals & Targeting
NB65 appears to target sectors in Russia that are critical to national stability, such as energy, finance, and technology. The group's motivations likely stem from a dissatisfaction with Russian policies or political actions, particularly those with international repercussions. Their attacks are concentrated on Russian entities, suggesting a focus on impacting the country's economic and operational landscape through cybermeans.
Enhanced Description
NB65 is a cyber-protest collective linked to the broader Anonymous movement. They primarily conduct distributed denial-of-service (DDoS) attacks and phishing campaigns targeting Russian businesses, critical infrastructure, and government entities. The group's activities often align with hack-and-leak operations, where they seek to compromise systems to extract and publish sensitive information. Their modus operandi includes disrupting operations through DDoS, gaining unauthorized access via phishing, and leveraging stolen data for extortion or public exposure.
Key Capabilities
MITRE ATT&CK Tactics
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Campaigns & Victims
NB65 has been observed targeting energy companies, financial institutions, and government agencies in Russia. Their campaign patterns suggest a focus on high-profile victims to maximize the impact of their attacks. Campaign activity often spikes during periods of geopolitical tension, such as during conflicts involving Ukraine and Russia, indicating a possible alignment with broader political motivations.
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Confidence Assessment
Low confidence due to limited specific TTPs and tools associated with NB65. Additional intelligence on their attack patterns, toolset, and campaign specifics would enhance this analysis.
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