OpenClaw Partners with VirusTotal to Fortify AI Agent Security Amid Escalating Threats

In a significant move to address mounting security concerns, OpenClaw—the open-source AI agent platform formerly known as Moltbot and Clawdbot—has announced a strategic partnership with Google-owned VirusTotal to scan and validate skills uploaded to its ClawHub marketplace. This initiative forms part of a broader, multi-layered security overhaul aimed at safeguarding the rapidly expanding agentic ecosystem from increasingly sophisticated cyber threats.

The announcement comes at a critical juncture, as OpenClaw’s viral adoption has been shadowed by a surge in malicious activities targeting its platform. The new security measures, detailed by OpenClaw’s founder Peter Steinberger alongside Jamieson O’Reilly and Bernardo Quintero, represent a proactive response to the community’s urgent calls for enhanced protection.

How the VirusTotal Integration Works

Under the new system, every skill submitted to ClawHub undergoes rigorous scrutiny through VirusTotal’s advanced threat intelligence platform. The process is both automated and comprehensive:

1. Unique Identification: Each skill is assigned a unique SHA-256 hash, creating a digital fingerprint that ensures precise tracking and analysis.
2. Database Cross-Check: The hash is cross-referenced against VirusTotal’s extensive database to identify any known malicious patterns or previously flagged threats.
3. In-Depth Analysis: If no match is found, the skill bundle is uploaded to VirusTotal’s Code Insight tool for deeper analysis, leveraging machine learning and behavioral heuristics to detect obfuscated or novel threats.
4. Automated Decision-Making: Skills receiving a “benign” verdict are automatically approved for distribution. Those flagged as suspicious are marked with warnings, while any deemed malicious are blocked entirely.
5. Continuous Monitoring: To address the dynamic nature of cyber threats, all active skills are re-scanned daily. This ensures that skills which were initially clean but later compromised are promptly identified and neutralized.

Despite these robust measures, OpenClaw’s maintainers have candidly acknowledged that no single solution is foolproof. They caution that “cleverly concealed prompt injection payloads” may still evade detection, underscoring the need for ongoing vigilance and layered defenses.

The Broader Security Landscape: Why OpenClaw is a Prime Target

The urgency behind these enhancements is underscored by a series of alarming discoveries about the vulnerabilities inherent in the OpenClaw ecosystem. Researchers and security firms have documented a litany of critical flaws, many of which stem from the platform’s very design and the unprecedented access it grants to AI agents.

Malicious Skills: A Growing Menace

Recent analyses have uncovered hundreds of malicious skills lurking within ClawHub. These rogue integrations masquerade as legitimate tools but harbor dangerous functionalities, including:

• Data Exfiltration: Secretly siphoning sensitive information from connected accounts and devices.
• Backdoor Installation: Creating persistent remote access points for attackers.
• Stealer Malware Deployment: Installing software designed to harvest credentials and other valuable data.

The scale of this threat is staggering. A comprehensive audit of 3,984 skills revealed that 283—approximately 7.1%—contained critical security flaws, exposing plaintext credentials through the LLM’s context window and output logs.

The “AI With Hands” Phenomenon

Security experts have dubbed OpenClaw an “AI With Hands” due to its ability to interact directly with system resources, online services, and user data. Unlike traditional software that executes only predefined commands, AI agents interpret natural language and make autonomous decisions, blurring the line between user intent and machine action.

This flexibility, while powerful, introduces unique risks. As OpenClaw itself noted, “They can be manipulated through language itself.” Attackers can exploit this by crafting prompts that trick agents into executing unauthorized commands, exfiltrating data, or even downloading and running additional malicious payloads—all without the user’s knowledge or consent.

Shadow AI: The Enterprise Risk

The situation is further complicated by the fact that OpenClaw is increasingly being deployed on employee endpoints without formal IT or security approval. This phenomenon, known as “Shadow AI,” creates a new class of risk for enterprises. Agents with elevated privileges can bypass standard security controls, enabling shell access, data movement, and network connectivity that would otherwise be blocked.

Tomer Yahalom, a researcher at Astrix Security, warns, “OpenClaw and tools like it will show up in your organization whether you approve them or not. Employees will install them because they’re genuinely useful. The only question is whether you’ll know about it.”

A Catalog of Critical Vulnerabilities

The security community has identified a wide array of vulnerabilities affecting OpenClaw and its associated platforms:

1. Proxied Traffic Misclassification: A now-fixed issue that could bypass authentication for internet-exposed instances.
2. Plaintext Credential Storage: Credentials stored in cleartext, leaving them vulnerable to theft.
3. Insecure Coding Practices: Use of eval with user input and lack of privacy policies or accountability measures.
4. Zero-Click Backdoor Attacks: Malicious documents processed by the AI agent can plant persistent backdoors for attacker control.
5. Indirect Prompt Injection: Attackers can embed instructions in web pages that, when summarized by the agent, alter its behavior to await further commands from external servers.
6. Credential Exposure in Skills: Over 7% of skills expose sensitive credentials in plaintext through LLM context windows.
7. Mass Cloning of Malicious Skills: Threat actors re-publish malicious skills at scale using minor name variations, staging payloads through public paste services and GitHub repositories.
8. Remote Code Execution Vulnerability: A now-patched flaw that could leak authentication tokens and allow arbitrary command execution.
9. Default Network Exposure: OpenClaw’s gateway binds to all network interfaces by default, exposing its API to any reachable network.
10. Prompt Injection via Messaging: Specially crafted messages can trigger the exfiltration of sensitive files from exposed instances.
11. Misconfigured Supabase Database: Moltbook’s exposed database contained 1.5 million API tokens, 35,000 email addresses, and private agent messages.
12. Platform Mechanics Exploitation: Threat actors manipulate Moltbook’s mechanics to amplify reach and direct agents toward malicious threads.

Architectural and Design Flaws

Beyond these specific vulnerabilities, security researchers have identified deeper architectural issues that undermine the platform’s security posture:

• Overreliance on LLM for Security Decisions: OpenClaw depends on the configured language model for many critical security decisions, which can be unreliable.
• Lack of Content Filtering: The platform fails to filter out untrusted content containing control sequences, leaving it open to injection attacks.
• Ineffective Guardrails: Existing safeguards against indirect prompt injections are insufficient.
• Persistent Memories and System Prompts: Memories and system prompts persist across chat sessions, potentially carrying over malicious instructions.
• Plaintext Storage of Sensitive Data: API keys and session tokens are stored in plaintext, making them easy targets for theft.
• No Explicit User Approval: Tool calls are executed without explicit user consent, increasing the risk of unauthorized actions.

The Stakes: Why Agent Security Matters More Than Ever

Persmiso Security has argued that the security of the OpenClaw ecosystem is even more critical than that of traditional app stores or browser extension marketplaces. The reason is simple: AI agents are granted credentials to a user’s entire digital life, and unlike browser extensions that run in sandboxes, these agents operate with the full privileges they are given.

Ian Ahl, a security researcher, puts it bluntly: “When you install a malicious browser extension, you’re compromising one system. When you install a malicious agent skill, you’re potentially compromising every system that agent has credentials for.”

This reality has not gone unnoticed by regulators. China’s Ministry of Industry and Information Technology has issued an alert about misconfigured OpenClaw instances, urging users to implement protections against cyber attacks and data breaches.

Ensar Seker, CISO at SOCRadar, emphasizes the broader implications: “When agent platforms go viral faster than security practices mature, misconfiguration becomes the primary attack surface. The risk isn’t the agent itself; it’s exposing autonomous tooling to public networks without hardened identity, access control, and execution boundaries.”

Looking Ahead: OpenClaw’s Commitment to Security

In response to these challenges, OpenClaw has outlined a comprehensive roadmap to bolster its security posture. In addition to the VirusTotal partnership, the platform plans to:

• Publish a comprehensive threat model detailing potential attack vectors and mitigation strategies.
• Release a public security roadmap to keep the community informed of ongoing and planned improvements.
• Establish a formal security reporting process to streamline the disclosure and remediation of vulnerabilities.
• Conduct a full security audit of its entire codebase, with results to be made publicly available.

These steps signal a commitment to transparency and continuous improvement, but the road ahead remains challenging. As AI agents become increasingly integrated into both personal and enterprise workflows, the need for robust, adaptive security measures will only grow.

Conclusion: A Call for Vigilance

The rapid rise of OpenClaw and similar AI agent platforms represents a double-edged sword. On one hand, they offer unprecedented convenience and automation, empowering users to accomplish complex tasks with simple commands. On the other, they introduce new and evolving risks that demand constant vigilance.

The partnership with VirusTotal is a significant step forward, but it is only one piece of a much larger puzzle. As the security community continues to uncover vulnerabilities and threat actors refine their tactics, the onus is on both platform developers and users to remain proactive in safeguarding their digital environments.

In the words of OpenClaw’s maintainers, “The first, and perhaps most egregious, issue is that OpenClaw relies on the configured language model for many security-critical decisions.” Addressing this and other foundational flaws will be critical to ensuring that the promise of AI agents is not overshadowed by the perils of their misuse.

Tags & Viral Phrases:

• AI With Hands
• Shadow AI
• Prompt Injection
• Data Exfiltration
• Backdoor Installation
• Zero-Click Attack
• Remote Code Execution
• Plaintext Credentials
• Misconfigured Supabase
• Agentic Trojan Horse
• Viral AI Adoption
• Security Overhaul
• Threat Intelligence
• Malware Scanning
• Autonomous Agents
• Digital Life Credentials
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• Malicious Skills
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• Language Model Manipulation
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• Platform Mechanics Exploitation
• Guardrail Failures
• Insecure Coding Practices
• Cloud Security Breach
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• Automated Decision-Making
• Digital Fingerprinting
• SHA-256 Hashing
• Code Insight Analysis
• Suspicious Activity Flagging
• Daily Re-Scanning
• Evasion Techniques
• Cybersecurity Best Practices
• AI Safety Measures
• OpenClaw Security Partnership
• VirusTotal Integration
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