Data Feed Poisoning

Data Feed Poisoning is an adversarial attack where malicious actors intentionally feed incorrect or manipulated price data into a system to trigger specific outcomes. In crypto derivatives, this might involve pushing an asset price to a specific level to force the liquidation of other traders or to profit from manipulated oracle values.

Because many protocols rely on these feeds for automated functions, a successful poisoning attack can drain liquidity pools or destabilize the market. This represents a major threat to decentralized finance, requiring multiple, redundant, and verified sources to mitigate risk.