Researchers at Pillar Security have identified a new threat called the Rules File Backdoor, which exploits AI systems through configuration files. By embedding invisible unicode characters, hackers can instruct AI to generate harmful code unnoticed, bypassing standard security measures. With most developers now utilizing generative AI tools, the risk is heightened as these rule files are often overlooked in security assessments. The technique can manipulate the AI's output without raising alarms, as demonstrated with Cursor and GitHub Copilot, ultimately creating a pervasive threat in software development environments.
The Rules File Backdoor enables hackers to manipulate AI systems via configuration files, allowing undetected malicious code generation and distribution.
Hackers exploit blind trust in AI tools, using hidden unicode characters and contextual prompts to direct AI into generating compromised code.
The vulnerability of rule files goes unnoticed as they are widely shared and rarely scrutinized, making them attractive targets for cyber attacks.
Demonstrations revealed how a poisoned rule file could lead to the generation of harmful code in AI systems, that remains undetected.
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