🔥 Firewall Screens

Forta Firewall has reached a significant milestone by screening over 1 billion transactions in real-time. The system checks each transaction for exploits, scams, and compliance risks before execution, blocking malicious activity. **Key achievements:** - Real-time screening of 1B+ transactions - Malicious transactions blocked before execution - Protection against exploits, scams, and compliance violations - Operating across multiple blockchain networks This represents substantial growth from 725 million transactions screened in January 2026. The firewall provides enterprise-grade security monitoring for users, protocols, and institutions across various chains. View the full metrics at [Dune Analytics](https://dune.com/forta_team/fort-firewall)

**Attack Overview** A sophisticated flash loan exploit drained $226,000 from DLMC Token on BNB Chain through oracle price manipulation. **How It Worked** - Attacker artificially inflated USDT reserves to spike token price approximately 250x - Exploited referral bonus mechanism to mint tokens at near-zero cost - Dumped minted tokens at peak inflated price - Repaid flash loan and walked away with profits **Detection & Context** Forta Firewall flagged the attack in real-time. This incident follows a concerning pattern on BNB Chain, including: - $1.11M LABUBU pool drain (June 22) - $99K ONTR exploit via uninitialized owner vulnerability (May 29) - $229K JUDAO LP manipulation (April 30) The attack demonstrates ongoing vulnerabilities in token economics and oracle dependencies across DeFi protocols.

The U.S. Treasury's Office of Foreign Assets Control (OFAC) updated its sanctions list on June 22, 2026, adding **ISIS-linked individuals and entities**, including **two Tron cryptocurrency addresses**. **Key Points:** - New sanctioned addresses include Tron-based crypto wallets - Chains protected by Forta Firewall receive automatic updates - Compliance is handled immediately upon OFAC list publication Forta Firewall provides real-time protection by automatically updating its blocking list the moment new addresses are added to OFAC sanctions. This ensures blockchain networks running the Firewall maintain compliance without manual intervention. View the full list of recent OFAC actions: [treasury.gov/recent-actions](https://ofac.treasury.gov/recent-actions/20260622)

**IoTeX Bridge Exploit: $8M Drained** The @iotex_io Bridge suffered a major security breach on February 28, 2026, losing $4.3M initially and escalating to $8M within 90 minutes. The attack was executed through a single compromised private key. **Key Details:** - Attack vector: Compromised private key - Timeline: $4.3M → $8M in 90 minutes - Detection: Forta Firewall caught the attacker's mainnet movements in real-time **Recent Context:** Just two days earlier, a @FOOMCASH lottery-contract exploit put $1.8M at risk. Forta Firewall flagged the attack in real-time and successfully blocked it on Firewall-enabled chains. This incident highlights the ongoing security challenges in cross-chain infrastructure and the critical importance of private key management in blockchain systems. Real-time detection systems like Forta Firewall are proving essential for identifying threats, though prevention remains dependent on proper security practices. Learn more about Forta Firewall: [Introducing Forta Firewall](https://forta.org/blog/introducing-forta-firewall/)

**AI-powered blockchain security gains recognition** as Forta Firewall appears in Messari's latest State of AI report. The inclusion highlights how **artificial intelligence is becoming integral** to onchain security infrastructure. Forta's AI-driven transaction screening technology represents the evolution of blockchain defense mechanisms. - AI-powered attackers require AI-powered defenders - Real-time transaction screening at scale - Growing integration across multiple blockchain networks With **290M+ transactions already screened**, Forta Firewall demonstrates practical AI implementation in blockchain security, moving beyond theoretical applications to active threat detection.