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#legacy-code News & Analysis

4 articles tagged with #legacy-code. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles
DeFiBearishCrypto Briefing · 2d ago7/10
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Raydium reports $1.34M exploit on legacy AMM V3 program

Raydium, a major Solana-based automated market maker (AMM), suffered a $1.34M exploit targeting its legacy AMM V3 program. The incident underscores critical vulnerabilities in deprecated blockchain infrastructure and raises concerns about DeFi security standards across the industry.

Raydium reports $1.34M exploit on legacy AMM V3 program
CryptoBearishCoinTelegraph · Apr 147/10
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Web3 hacks cost $464M in Q1 as phishing drives majority of losses: Hacken

Hacken's Q1 2026 report reveals $464.5 million in losses across 43 Web3 security incidents, with phishing attacks, legacy code vulnerabilities, and key compromises accounting for the majority of breaches. The findings underscore escalating security risks in cryptocurrency and decentralized finance as regulatory bodies intensify their focus on security standards.

Web3 hacks cost $464M in Q1 as phishing drives majority of losses: Hacken
AI × CryptoBearishDL News · Mar 267/10
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Crypto hackers armed with AI stand to make millions of dollars attacking old code

Cybercriminals are leveraging AI language models like ChatGPT and Claude to rapidly scan thousands of lines of code per second, identifying vulnerabilities in legacy systems. This represents a significant escalation in automated hacking capabilities, potentially exposing millions of dollars worth of cryptocurrency assets to sophisticated AI-powered attacks.

Crypto hackers armed with AI stand to make millions of dollars attacking old code
🧠 ChatGPT🧠 Claude
AINeutralarXiv – CS AI · 4d ago6/10
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Structuring agentic AI for HPC code modernization

Researchers successfully modernized NMAP-RKPM, a 60,000-line Fortran physics simulation engine, from single-threaded MPI to parallel C++ using a structured agentic AI approach. Rather than relying on LLMs alone, the team developed a 'hand-holding' methodology combining manual examples, continuous buildability checks, and scoped sessions that proved highly effective for legacy code transformation.