A loose but growing push is underway in the XRP community.
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Vet, one of the DUNL validators for the XRP ledger, suggests a major update that could change the fight against fraud in XRPL.
The feature known as the XLS-86 firewall is still under development, but is described as a possible endgame for scammers.
In a recent post, the veterinarian said the fix serves as a safeguard to stop losses of XRP, tokens and NFTs when activated.
If approved and deployed, users could give the community a much stronger line of defense against the common traps that have cost millions of people over the years.
Just recently, after the developer discovered a malicious package related to NPM’s XRPL.JS library, a high-profile patch was released, and the incident sharpened the urgency of better protection.
Tools and Reporting Systems
Some public resources are already trying to do work on firewalls. According to Xrpl.org, users can submit fraud reports to get guidance on suspicious activity.
It ended for many scammers.
The XLS-86 firewall is a modification to the XRP ledger under development.
Using this feature will ultimately eliminate the loss of XRP, tokens and NFTs completely.
Given the victims we’ve had in the past, I can’t wait for it!
– Veterinarian 🏴☠️ (@vet_x0) September 10th, 2025
It has been revealed that forensic platforms such as Xrplorer maintain a database of addresses linked to fraud and illegal forwarding. These lists are used in exchange for wallets and alert or block interactions.
The work exists, but it spreads across sites and teams and is not bundled as a single shield for everyday users.
Important Software Warnings
According to Market Watchers, the latest shock came when the developer discovered that a compromised or malicious version of XRPL.JS was pushed to NPM.
This issue was patched on April 23, 2025 after the maintainer removed the bad release and prompted the user to update.
XRP is currently trading for $3. Chart: TradingView
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How does the firewall work?
A practical firewall combines several simple features. You may use fraud history to auto-flag addresses. The wallet may display a clear warning before users approve payments to flagged accounts.
Exchanges and node operators can share lists to reduce the likelihood that scammers can move their funds freely.
Machine learning can be used to find repeating patterns in phishing messages or cloned domains, but human teams still validate hard cases.
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