LLMs and Text-in-Text Steganography
Summary
Researchers have discovered that Large Language Models (LLMs) are highly effective at performing text-in-text steganography, enabling them to conceal messages within other text.
IFF Assessment
FOE
The ability of LLMs to effectively hide data within seemingly normal text poses a new threat for defenders, as malicious actors could leverage this for covert communication or data exfiltration.
Defender Context
This development highlights a novel attack vector where LLMs can be used for covert communication or to embed malicious payloads within seemingly innocuous text. Defenders need to be aware of this potential for data exfiltration and sophisticated command-and-control channels, and explore methods for detecting such steganographic techniques in text data.