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Fake GitHub Repo Delivers SolanaCry Malware via AI Agents

Fake GitHub Repo Delivers SolanaCry Malware via AI Agents

First seen 30 Oct 2026, 16:18 UTC • •

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ThreatCluster AI
ThreatCluster •October 30, 2026 at 17:14 UTC
  • •SolanaCry malware targets AI coding agents via a fake GitHub repository.
  • •The attack exploits trust in AI agents, allowing malware installation without user intervention.
  • •Malware includes legitimate NetSupport components, enabling remote access to infected systems.

AIR Research Lab has identified SolanaCry, a malware targeting AI coding agents through a fraudulent GitHub repository masquerading as a Solana starter kit. This repository, created in November 2025, ranked first in search results and instructed AI agents to execute a PowerShell command that installs remote-access malware on Windows machines. The malware, which includes legitimate components of NetSupport Manager, allows attackers to control infected systems and access cryptocurrency wallets. The attack exploits the trust developers place in AI agents, making it a novel threat vector. Researchers noted similarities to previous campaigns, particularly one from October 2025 that also targeted cryptocurrency traders. The repository had 286 stars at the time of discovery, indicating significant visibility. The attack method involves fileless execution, hiding its presence from users. Current status indicates ongoing risks as the malware remains undetected by many users.

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Timeline

2025-11-01
Malicious GitHub repository created
The repository SolanaUpdateTools/solana-starter-kit was created, designed to trick AI agents.
Hackread
2026-10-30
SolanaCry malware discovered
AIR Research Lab reported the discovery of SolanaCry, targeting AI coding agents through a fake GitHub repo.
Hackread

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Common questions

How does SolanaCry infect systems?
It infects systems by tricking AI coding agents into executing a PowerShell command from a malicious GitHub repository.
What are the implications for developers?
Developers may unknowingly install malware that compromises their systems and cryptocurrency wallets.
What should organizations do to protect against this threat?
Organizations should educate developers about the risks of trusting AI agents and implement monitoring for unusual activities.