SHIB Gains 0.89% Over the Past Week as Shibarium Enhances Security

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A major security enhancement for Shibarium, SHIB’s Layer 2 blockchain, is currently in progress to further strengthen the network’s security and decentralization. The Shiba Inu development team has announced a significant RPC migration, which will phase out the old public RPC endpoint in two weeks. Both users and developers are encouraged to switch to the updated endpoint to maintain uninterrupted access. This transition is intended to remove single points of failure and bolster the platform’s resilience over time.

This migration comes after a security breach in September 2025, when a compromised validator key caused a temporary network halt. The incident involved an attempt to seize control using a 4.6 million BONE delegation, exploiting short-term staking vulnerabilities. In response, the Plasma Bridge was relaunched with enhanced protections, such as a seven-day withdrawal waiting period and a system to blacklist malicious addresses.

The community has viewed these security and decentralization upgrades positively, especially after a difficult October. For the first time since its inception, SHIB closed October with a 15.9% loss, as the wider crypto market faced increased volatility and risk-off sentiment. During the sharp downturn on October 10, SHIB’s price fell to $0.0000085, marking one of the most significant liquidation events in crypto history.

Although October was challenging, SHIB’s partial rebound in November has brought renewed hope. Investors are monitoring whether the technical improvements and community initiatives around Shibarium can help stabilize and boost the token’s price.

Backtest Hypothesis

To evaluate how the recent Shibarium security update might affect SHIB’s price, a backtesting approach could be implemented. For instance, by setting a 10% daily price drop as a trigger—where the closing price falls at least 10% from the previous day—an event-driven analysis could examine SHIB’s performance after such corrections. This method would help determine how the token has historically reacted to significant market downturns, particularly following major technical or security news.