AI discovers XRP Ledger flaw that could mint 18 trillion tokens and put $94 billion market at risk | CryptoAce VIP
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AI discovers XRP Ledger flaw that could mint 18 trillion tokens and put $94 billion market at risk

Category: Whale Tracking Published: Updated: Desk: CryptoAce VIP Editorial ✓ Verified Desk Analyst Source: CryptoSlate
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AI discovers XRP Ledger flaw that could mint 18 trillion tokens and put $94 billion market at risk

Story summary

Testing produced spendable XRP, but the disclosure reports no evidence of public-network exploitation and explains why the fix took effect immediately. The post AI discovers XRP Ledger flaw that could mint 18 trillion tokens and put $94 billion market at risk appeared first on CryptoSlate.

📌 Key Highlights & Takeaways

  • Testing produced spendable XRP, but the disclosure reports no evidence of public-network exploitation and explains why the fix took effect immediately.
  • The post AI discovers XRP Ledger flaw that could mint 18 trillion tokens and put $94 billion market at risk appeared first on CryptoSlate.

An AI agent uncovered a decade-old bug in the XRP Ledger (XRPL) that could create trillions of XRP, prompting an emergency fix.

The vulnerability could have let an attacker generate about 18 trillion XRP through a single payment transaction, roughly 180 times the cryptocurrency's original 100 billion token supply, according to security firm Veria Labs.

Veria founder Cayden Liao said the flaw potentially threatened XRP's $94 billion market capitalization by undermining the cryptocurrency's fixed supply.

The vulnerability was reported on Sept. 22 and patched three days later. RippleX later confirmed that no unauthorized XRP was created, no funds were lost, and investigators found no evidence of exploitation on public networks. The incident was publicly disclosed on Oct. 9.

The discovery emerged from Veria's AI-powered security system, which analyzed rippled , the software underpinning XRPL, and identified two weaknesses that could be combined to bypass its monetary safeguards.

The first involved an integer overflow in the payment engine, where deliberately constructed trading offers could cause the system to miscalculate the amount a buyer owed.

Under the exploit, sellers would receive their full XRP payments while the buyer would be charged only a fraction of the actual amount. The difference would effectively create XRP that had never existed.

A second vulnerability affected the network's supply-protection mechanism. Because it relied on the same flawed arithmetic, it could fail to recognize that new XRP had been created.

From an on-chain analytics and liquidity distribution perspective, developments around "AI discovers XRP Ledger flaw that could mint 18 trillion tokens and put $94 billion market at risk" signal important shifts in network participation. Market participants observe that derivative funding metrics, exchange reserve telemetry, and smart contract protocol interactions reflect cautious accumulation alongside disciplined risk hedging across the sector.

Technical research analysts at CryptoAce VIP note that high-density order book clusters and volume-weighted average price (VWAP) benchmarks near recent consolidation floors will serve as pivotal indicators. Market observers are advised to cross-examine telemetry on verified block explorers before making capital allocations.

Editorial Fact-Check & Verification Note: This briefing was curated, corroborated, and synthesized by the CryptoAce VIP Editorial Desk. Readers following "AI discovers XRP Ledger flaw that could mint 18 trillion tokens and put $94 billion market at risk" are encouraged to review the full primary source coverage linked below for complete historical context, direct quotes, and official statements.

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Source: CryptoSlate.

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❓ Frequently Asked Questions (Whale Tracking Briefing)

What on-chain catalyst or market signal triggered this Whale Tracking movement? ▼

Institutional on-chain telemetry, cold storage accumulation, and derivative funding rates indicate spot liquidity positioning that underpins this Whale Tracking development.

How should investors interpret current liquidity pools and network hash activity? ▼

Derivative funding remains balanced and exchange reserves continue trending downward, mitigating systemic liquidation cascades and strengthening the underlying structural floor.

Where are the critical technical support and invalidation levels? ▼

Anchored volume-weighted average price (VWAP) benchmarks and high-density order book clusters near prior consolidation ranges serve as key risk management thresholds.

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