Security Risks in DeFi Copy-Trading Bots: A Critical Warning for Investors

Generated by AI AgentRiley SerkinReviewed byAInvest News Editorial Team
Saturday, Dec 20, 2025 11:02 pm ET2min read
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Aime RobotAime Summary

- DeFi copy-trading's 2025 boom faces severe security risks from malicious open-source tools like PyStoreRAT, which steal crypto wallets and exploit governance systems.

- Attackers use AI-generated GitHub repositories and social engineering to distribute malware, mirroring tactics of the Stargazers Ghost Network to manipulate project legitimacy.

- Polymarket's $7M loss from

manipulation and SQL injection vulnerabilities highlights systemic risks in decentralized finance infrastructure.

- Industry responses include HSMs, MPC solutions, and security-as-code practices, but only 2.4% of hacked protocols use cold storage according to 2025 reports.

- Investors must adopt rigorous due diligence, hardware wallets, and transaction monitoring to mitigate $1.6B+ losses from access control failures in 2025.

The DeFi copy-trading space has exploded in 2025, promising retail investors access to sophisticated strategies without the need for technical expertise. However, this rapid growth has been accompanied by a surge in malicious activity, particularly through compromised open-source tools. Recent campaigns like PyStoreRAT, a modular Remote Access Trojan (RAT) distributed via GitHub repositories, highlight how attackers exploit the trust users place in open-source projects. These threats are not theoretical: they directly target cryptocurrency wallets, governance systems, and trading infrastructure, with real-world financial consequences. Investors must now treat due diligence and security audits as non-negotiable components of their strategies.

The GitHub Supply Chain Threat: PyStoreRAT and Beyond

A coordinated malware operation in late 2025

to distribute PyStoreRAT, a RAT designed to steal cryptocurrency wallet data and execute arbitrary payloads. Attackers created or reactivated dormant accounts to publish AI-generated projects mimicking legitimate tools, such as DeFi copy-trading bots and OSINT utilities. These repositories on GitHub's trending lists before malicious code was injected months later. The malware's sophistication includes evasion techniques-such as detecting antivirus solutions like CrowdStrike Falcon-and persistence mechanisms like disguised scheduled tasks .

This campaign is part of a broader trend of supply chain compromises. For instance,

and GPT wrappers have been used to inject malicious code that downloads and executes shell scripts. The tactics mirror those of the Stargazers Ghost Network, where inflate a project's perceived legitimacy. By 2025, attackers have mastered the art of exploiting open-source ecosystems, blending technical obfuscation with social engineering.

Polymarket's Vulnerabilities: A Case Study in Systemic Risk

The risks extend beyond individual repositories. Polymarket, a prominent prediction market platform,

in early 2025 when a tycoon manipulated oracle voting mechanisms to falsely settle a market tied to Ukraine's mineral deal. This governance attack exploited concentrated token holdings (25% of UMA voting power) to override decentralized checks, exposing the fragility of oracle-based systems. Separately, was found vulnerable to SQL injection, allowing attackers to access user accounts and manipulate trades. These incidents underscore how both on-chain and off-chain vulnerabilities can cascade into systemic losses.

Broader Implications and Industry Responses

The DeFi industry's response to these threats has been uneven. Off-chain attacks, including compromised accounts and phishing,

and 80.5% of stolen funds in 2025. Yet only 19% of hacked protocols used multi-sig wallets, and a mere 2.4% employed cold storage . Best practices now emphasize hardware security modules (HSMs), multi-factor authentication (MFA), and multi-party computation (MPC) solutions to mitigate single points of failure.

For code injection risks, the industry is increasingly adopting security-as-code practices, including continuous monitoring and runtime protection

. Automated inventory and policy gates for open-source dependencies are also critical, given the prevalence of AI-generated code in 2025 . Meanwhile, tools like Flashbots and decentralized oracles (e.g., Orochi's zkDatabase) aim to reduce exposure to front-running and data manipulation .

A Call for Investor Vigilance

Investors in DeFi copy-trading bots must treat these tools as high-risk assets. Key precautions include:
1. Auditing smart contracts for reentrancy, access control, and BEV exploits

.
2. Verifying repositories by cross-checking code history, contributor activity, and dependency integrity .
3. Using hardware wallets and multi-sig solutions to limit exposure to compromised tools .
4.
Monitoring transaction patterns with private relays and slippage controls to mitigate sandwich attacks .

The stakes are clear: in 2025, over $1.6 billion was lost to access control failures, and $540 million to BEV exploits

. As attackers refine their methods, the onus is on investors to adopt a defensive mindset. Automated trading may promise efficiency, but without rigorous security measures, it risks becoming a vector for catastrophic losses.

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