Illustration of MalTerminal malware interface prompting for ransomware or reverse shell generation via GPT-4 API, highlighting AI-powered dynamic code creation in cybersecurity threats.

A groundbreaking discovery by SentinelLABS reveals MalTerminal, an early LLM-enabled malware using OpenAI's GPT-4 API to generate ransomware or reverse shells on the fly. This Python executable, predating other known threats, includes test scripts and a defensive tool called FalconShield. It prompts users for attack types, creating unique code at runtime to evade static detection signatures.

Illustration of MalTerminal malware interface prompting for ransomware or reverse shell generation via GPT-4 API, highlighting AI-powered dynamic code creation in cybersecurity threats.Illustration of MalTerminal malware interface prompting for ransomware or reverse shell generation via GPT-4 API, highlighting AI-powered dynamic code creation in cybersecurity threats.

Researchers analyzed over 7,000 VirusTotal samples, hunting embedded API keys and prompts with YARA rules (e.g., OpenAI's "T3BlbkFJ" Base64) and LLM classifiers for malicious intent. This uncovered MalTerminal plus tools for antibot evasion, pentesting, and more, showcasing AI's offensive potential while exposing detectable artifacts like keys.

Illustration of MalTerminal malware interface prompting for ransomware or reverse shell generation via GPT-4 API, highlighting AI-powered dynamic code creation in cybersecurity threats.Illustration of MalTerminal malware interface prompting for ransomware or reverse shell generation via GPT-4 API, highlighting AI-powered dynamic code creation in cybersecurity threats.

Earlier examples include ESET's PromptLock (Golang ransomware bypassing safety via expert prompts) and APT28's LameHug (using 284 HuggingFace keys for shell commands). LLM malware challenges traditional defenses but relies on external services, creating mitigation opportunities. As AI evolves, threats may gain autonomy, demanding adaptive detection strategies.
 
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