Are ‘CLAW’ Tokens Legit? Phishing Attack Hits OpenClaw as Hackers Target Crypto Wallets

The sudden emergence of “CLAW” tokens has left many crypto users asking a simple but critical question: are these tokens legitimate, or part of a broader scam?

The answer, based on multiple security reports and incident analyses, leans heavily toward caution. A recent wave of phishing attacks targeting users of OpenClaw, an AI-agent-based platform, has exposed a complex scheme involving fake tokens, malicious plugins, and wallet-draining malware.

While the token itself may appear tied to a legitimate ecosystem at first glance, the surrounding activity suggests a coordinated effort by attackers to exploit trust, branding confusion, and emerging AI infrastructure.

What Is OpenClaw and Why It Became a Target

OpenClaw is part of a new generation of AI-agent platforms designed to automate tasks such as data retrieval, execution of commands, and interaction with external tools. These agents can operate semi-autonomously, making decisions and executing workflows on behalf of users.

This level of capability also introduces a new attack surface.

Unlike traditional applications, OpenClaw agents can:

• Execute terminal commands
• Access local files
• Store sensitive credentials such as API keys
• Interact with crypto wallets and trading tools

This makes them particularly attractive targets for attackers. Instead of tricking users into signing a malicious transaction, as seen in traditional phishing, attackers can now aim to compromise the agent itself, gaining deeper and more persistent access.

Are ‘CLAW’ Tokens Legit or Part of a Scam?

There is no widely verified, officially recognized “CLAW” token tied securely to the OpenClaw ecosystem at the time of reporting. Instead, several variants of CLAW-branded tokens have appeared, many of which are linked to scam activity.

Security researchers and incident reports highlight that attackers:

• Created lookalike tokens using the CLAW name
• Promoted them through compromised or spoofed social accounts
• Leveraged confusion during branding or development transitions

According to cyber security firm OX Security, the attackers set up fake GitHub profiles and posted messages in repositories they managed, tagging developers to draw attention. These posts claimed users had received $5,000 worth of “CLAW,” a token that doesn’t actually exist, in an effort to lure them to a spoofed website.

The scheme redirected users to a fake site designed to closely mimic OpenClaw’s official page, where they were prompted to connect their crypto wallets, a typical phishing method used to gain access to credentials or authorize malicious transactions.

X user @orcdev shared a screenshot of the phishing message, highlighting how attackers are impersonating OpenClaw to promote a fake “CLAW” token and lure developers into connecting their wallets.

OpenClaw creator Peter Steinberger cautioned users to ignore any emails promoting cryptocurrency offers linked to the project, stressing that such messages are fraudulent.

He clarified that OpenClaw is an open-source, non-commercial initiative and would never send crypto-related promotions. Steinberger urged users to rely only on the official website and remain cautious of third parties attempting to commercialize or misuse the project’s name.

Why the Confusion Worked

The success of these fake tokens stems from a familiar but effective strategy:

• Exploit brand ambiguity
• Launch during periods of transition or hype
• Use social proof and urgency to attract buyers

For users, distinguishing between legitimate and malicious tokens becomes difficult, especially in fast-moving ecosystems like crypto and AI.

How the OpenClaw Phishing Attack Works

The OpenClaw incident represents more than just a phishing attempt, it reflects an evolution in attack methodology.

Instead of relying solely on deceptive links or fake websites, attackers introduced malicious “skills” (plugins) into the ecosystem.

Step-by-Step Breakdown of the Attack

1. Malicious Skill Distribution

Attackers uploaded seemingly useful tools, such as:

• Crypto trading assistants
• Wallet management utilities
• Automation scripts

These appeared legitimate and aligned with the platform’s capabilities.

2. User Installation

Users, believing these tools were safe, installed them into their OpenClaw environment.

3. Command Execution

The malicious skills prompted users, or automatically executed, terminal commands. These commands:

• Installed hidden malware
• Created backdoors
• Enabled persistent system access

4. Data and Wallet Compromise

Once installed, the malware could:

• Extract private keys or wallet data
• Access browser-stored credentials
• Monitor or intercept transactions

In some cases, attackers even manipulated agents to initiate transactions or interact with fraudulent tokens.

Fake CLAW Tokens and Social Engineering Tactics

The phishing campaign did not rely on technical exploits alone. Social engineering played a central role.

Attackers:

• Mimicked official project branding
• Used similar wallet addresses or token names
• Leveraged compromised or fake social media accounts

In some instances, attackers sent small transactions from lookalike addresses to users. This tactic, known as address poisoning, aims to trick users into copying the wrong wallet address during future transactions.

Combined with fake CLAW tokens, this created a layered deception:

• Users believed they were interacting with a legitimate ecosystem
• Transactions and tools appeared familiar
• Subtle differences went unnoticed

Why This Attack Is More Dangerous Than Traditional Crypto Scams

Traditional crypto scams typically involve:

• Fake links
• Malicious smart contracts
• Deceptive transaction approvals

The OpenClaw attack goes further.

By targeting the AI agent environment, attackers can:

• Maintain ongoing access to the system
• Steal data continuously, not just once
• Operate without immediate detection

This shifts the risk from single-event loss to persistent compromise.

Role of AI Agents in Expanding Attack Surfaces

AI agents are designed to increase efficiency and autonomy. However, these same features introduce risk:

• Automation reduces user oversight
• Execution capabilities increase potential damage
• Integration with multiple systems amplifies exposure

As a result, compromising an AI agent can effectively compromise everything it interacts with, including crypto wallets.

What This Means for Crypto Users and Developers

The OpenClaw incident highlights a broader trend: the convergence of AI systems and financial infrastructure.

As these systems become more integrated, the potential impact of attacks increases.

For users:

• The line between software tools and financial systems is blurring
• Trust assumptions must be re-evaluated
• Verification becomes more critical

For developers:

• Security must account for agent behavior, not just code
• Plugin ecosystems require strict validation
• Sandboxing and permission controls are essential

How to Stay Safe From Fake Tokens and Phishing Attacks

Given the evolving threat landscape, users should adopt stricter security practices:

Verify Token Authenticity

• Check official project channels
• Confirm contract addresses from trusted sources
• Avoid tokens promoted through unsolicited messages

Avoid Installing Unverified Tools

• Only install plugins from trusted repositories
• Be cautious of tools requiring command execution
• Review permissions before installation

Double-Check Wallet Addresses

• Do not rely on transaction history alone
• Verify full addresses, not just first and last characters

Use Hardware Wallets and Isolation

• Store funds in hardware wallets where possible
• Separate experimental environments from primary wallets

Real Risk Behind ‘CLAW’ Tokens

So, are CLAW tokens legitimate?

In most observed cases tied to this incident, the answer is no, they are part of a broader phishing and exploitation campaign.

However, the deeper takeaway goes beyond a single token or attack.

The OpenClaw phishing incident signals a shift in crypto security:

• From wallet-level attacks to system-level compromise.
• From simple scams to multi-layered, AI-assisted exploitation.

As AI agents become more integrated into financial workflows, they will likely become a primary target for attackers.

For now, the safest assumption remains: If a token or tool cannot be clearly verified, it should not be trusted.

FAQs

About the Author

Giuseppe Ciccomascolo

Giuseppe Ciccomascolo began his career as an investigative journalist in Italy, where he contributed to both local and national newspapers, focusing on various financial sectors.

Upon relocating to London, he worked as an analyst for Fitch's CapitalStructure and later as a Senior Reporter for Alliance News. In 2017, Giuseppe transitioned to covering cryptocurrency-related news, producing documentaries and articles on Bitcoin and other emerging digital currencies. He also played a pivotal role in establishing the academy for a cryptocurrency exchange website. Crypto remained his primary area of interest throughout his tenure as a writer for ThirdFloor.

[email protected] LinkedIn

About the Author

Giuseppe Ciccomascolo

Giuseppe Ciccomascolo began his career as an investigative journalist in Italy, where he contributed to both local and national newspapers, focusing on various financial sectors.

Upon relocating to London, he worked as an analyst for Fitch's CapitalStructure and later as a Senior Reporter for Alliance News. In 2017, Giuseppe transitioned to covering cryptocurrency-related news, producing documentaries and articles on Bitcoin and other emerging digital currencies. He also played a pivotal role in establishing the academy for a cryptocurrency exchange website. Crypto remained his primary area of interest throughout his tenure as a writer for ThirdFloor.

[email protected] LinkedIn