Banana Gun to Refund $3 Million After Major Hack

Banana Gun, a popular Telegram-based crypto trading bot, has announced it will refund users who collectively lost $3 million in a recent hack that affected seasoned traders. 

On Sept. 19, some users began reporting unauthorized outbound transfers from their crypto wallets, leading the platform to temporarily halt its Ethereum Virtual Machine (EVM) and Solana bots to prevent further damage.

A bot looking at a computer screen

Details of the Hack and Response

Initially, the hack appeared to affect 36 users, with losses estimated at $2 million in Ether (ETH). However, a post-mortem report by Banana Gun revealed that only 11 users were impacted, but the total loss was significantly higher—around $3 million.

Also read: Crypto Bots: Unveiling Automated Trading Strategies in Cryptocurrency Markets

In its official statement, Banana Gun emphasized its commitment to reimbursing the affected users. “A total of 11 users were affected, with $3M drained. All impacted users will be fully refunded from the Banana Gun treasury, with no tokens being sold for reimbursements,” the bot firm stated.

The attack exploited a vulnerability in a Telegram message oracle, which allowed the hacker to manually initiate unauthorized transfers from users’ wallets while the trading bots were active. Crypto trading bots like Banana Gun are widely used by traders to automate transactions and optimize profitability, making this breach particularly concerning for the crypto community.

Security Measures Implemented

In response to the hack, Banana Gun quickly moved to patch the vulnerability and implemented several new security measures. These include a two-hour delay on transfers, two-factor authentication (2FA) for transactions, and a thorough system review to prevent future incidents. Following these updates, the platform has restarted its EVM and Solana bots.

This incident is the latest in a string of hacks targeting cryptocurrency platforms, but Banana Gun’s proactive response, including the full refund promise, has helped maintain user trust. In a related case, Shezmu, a leveraging yield protocol, recently negotiated with a hacker who had stolen $5 million, resulting in the return of a large portion of the stolen funds.

Also read: ChatGPT in Crypto Trading: Harnessing AI for Enhanced Market Strategies

While hacks remain a significant risk in the cryptocurrency space, Banana Gun’s swift action highlights the growing emphasis on security and user protection among blockchain and crypto firms.

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    Steven's passion for cryptocurrency and blockchain technology began in 2014, inspiring him to immerse himself in the field. He notably secured a top 5 world ranking in robotics. While he initially pursued a computer science degree at the University of Texas at Arlington, he chose to pause his studies after two semesters to take a more hands-on approach in advancing cryptocurrency technology. During this period, he actively worked on multiple patents related to cryptocurrency and blockchain. Additionally, Steven has explored various areas of the financial sector, including banking and financial markets, developing prototypes such as fully autonomous trading bots and intuitive interfaces that streamline blockchain integration, among other innovations.

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Steven Walgenbach

Steven's passion for cryptocurrency and blockchain technology began in 2014, inspiring him to immerse himself in the field. He notably secured a top 5 world ranking in robotics. While he initially pursued a computer science degree at the University of Texas at Arlington, he chose to pause his studies after two semesters to take a more hands-on approach in advancing cryptocurrency technology. During this period, he actively worked on multiple patents related to cryptocurrency and blockchain. Additionally, Steven has explored various areas of the financial sector, including banking and financial markets, developing prototypes such as fully autonomous trading bots and intuitive interfaces that streamline blockchain integration, among other innovations.

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