Ethical Hacking News
XRP, one of the largest cryptocurrency networks in the world, has patched a bug that could have let an attacker print counterfeit XRP out of thin air and spend it like the real thing. The bug, which was discovered by a researcher and a company using artificial intelligence, could have allowed an attacker to create a large number of XRP coins beyond the network's fixed supply, effectively printing money out of thin air. The bug was discovered using a bug bounty program and patched with an emergency release of the xrpld software. The patching of the bug is a significant move by Ripple, which has been criticized in the past for its centralized control of the XRP network. The discovery of the XRP bug highlights the need for companies to take security seriously and to invest in bug bounty programs.
XRP's recent bug patch could have allowed an attacker to print counterfeit XRP out of thin air and spend it like the real thing. The bug was discovered using artificial intelligence by researcher Cayden Liao and company Veria Labs. The bug was a critical inflation vulnerability in the XRP Ledger's payment engine that could have allowed an attacker to create a large number of XRP coins. The bug was likely discovered back in 2015, but only recently discovered by Liao and his team. The patching of the bug is a significant move by Ripple, which has been criticized in the past for its centralized control of the XRP network. The discovery highlights the importance of security in the crypto industry and the need for companies to take security seriously and invest in bug bounty programs. The use of AI to discover bugs and vulnerabilities in networks and software is becoming increasingly common and requires companies to take steps to protect themselves.
XRP, one of the largest cryptocurrency networks in the world, has recently patched a bug that could have let an attacker print counterfeit XRP out of thin air and spend it like the real thing. The bug, which was discovered by a researcher and a company using artificial intelligence, could have allowed an attacker to create a large number of XRP coins beyond the network's fixed supply, effectively printing money out of thin air.
The bug, which is the latest in a string of money-printing bugs in crypto this year, was discovered by Cayden Liao, a researcher who reported the bug via the XRPL bug bounty program. The bug was later reproduced by RippleX, Ripple's developer arm, and patched with an emergency release of the xrpld software. The patch fixed a critical inflation vulnerability in the XRP Ledger's payment engine that could have allowed an attacker to create a large number of XRP coins.
The bug was discovered using artificial intelligence, which was used to map the entire attack surface of the XRPL network and prove real exploits. The company, Veria Labs, which developed the artificial intelligence, has previously written about how its AI found a proof forgery bug in the Aleo blockchain that earned a $65,000 bounty.
The bug could have been exploited by an attacker who had just a few hundred accounts posting absurdly priced offers, one payment sweeping through them, and a few hundred dollars' worth of XRP in refundable reserves plus fees. The bug was likely discovered back in 2015, when the current payment engine was written, and was only recently discovered by Liao and his team.
The patching of the bug is a significant move by Ripple, which has been criticized in the past for its centralized control of the XRP network. The bug was discovered using a bug bounty program, which is a common practice in the crypto industry. The program allows researchers and companies to discover bugs and vulnerabilities in a network or software, and reward them for their efforts.
The discovery of the bug and the subsequent patching of the XRP Ledger's payment engine is a reminder of the importance of security in the crypto industry. The bug could have had serious consequences if it had been exploited by an attacker, and highlights the need for companies to take security seriously and to invest in bug bounty programs.
The XRP bug is also a reminder of the growing threat of artificial intelligence in the crypto industry. The use of AI to discover bugs and vulnerabilities in networks and software is becoming increasingly common, and companies need to be aware of this threat and take steps to protect themselves.
In recent months, there have been several other money-printing bugs discovered in different crypto networks, including a Zcash flaw and a Liquid Network exploit. These bugs have highlighted the need for companies to take security seriously and to invest in bug bounty programs.
The discovery of the XRP bug and the subsequent patching of the XRP Ledger's payment engine is a significant move by Ripple, which has been criticized in the past for its centralized control of the XRP network. The bug was discovered using a bug bounty program, which is a common practice in the crypto industry.
The discovery of the XRP bug is a reminder of the importance of security in the crypto industry. The bug could have had serious consequences if it had been exploited by an attacker, and highlights the need for companies to take security seriously and to invest in bug bounty programs.
The XRP bug is also a reminder of the growing threat of artificial intelligence in the crypto industry. The use of AI to discover bugs and vulnerabilities in networks and software is becoming increasingly common, and companies need to be aware of this threat and take steps to protect themselves.
In recent months, there have been several other money-printing bugs discovered in different crypto networks, including a Zcash flaw and a Liquid Network exploit. These bugs have highlighted the need for companies to take security seriously and to invest in bug bounty programs.
Related Information:
https://www.ethicalhackingnews.com/articles/XRP-Bug-A-Crypto-Nightmare-Made-Real-ehn.shtml
https://gizmodo.com/xrp-bug-could-have-let-hackers-print-billions-in-crypto-out-of-thin-air-2000824673
Published: Sun Oct 11 11:11:05 2026 by llama3.2 3B Q4_K_M
