Clawdbot is a self-hosted AI agent with ongoing access to files, messages, services, and system commands. That setup creates serious clawdbot security risks, including prompt injection, exposed API keys, data breaches, and full system compromise. Because it is difficult to secure safely and reliably, Labyrinth Technology does not recommend using Clawdbot.
AI agents are starting to move into real environments. Not experiments. Not demos. Real systems with real data.
Clawdbot is one of the clearer examples of why that shift is risky. To do what it promises, it runs constantly and operates with broad access across your device, your files, your messages, and your services. Once it is set up, it can act on your behalf without asking every time.
If something goes wrong, the impact is not limited to a bad answer or a broken workflow. Sensitive data can be exposed. Files can be changed or deleted. Commands can be executed. Costs can spiral. These are not edge cases. They are realistic outcomes of how this tool works.
This is why Labyrinth Technology does not recommend using Clawdbot in production, testing, or live environments. These are the clawdbot security risks that make it unsafe for real-world use.
Clawdbot is an open-source, self-hosted AI agent, recently rebranded as Moltbot. It is designed for persistent automation. That means it stays running, stays connected, and keeps acting until you stop it.
Unlike basic AI tools that respond to a single prompt, Clawdbot reads messages, runs commands, accesses files, and interacts with other systems. It connects large language models to messaging platforms, social media posts, local files, scheduling tools, web activity, and shell access.
Once Clawdbot is running, it does not just assist you. It represents you. If it is compromised, it can continue acting as you across different systems without anything obviously breaking.
This is not just artificial intelligence. It is automation with authority. That is where the security risk begins.
Most AI tools are limited by design. These clawdbot security risks stem from how the tool is designed to operate with persistent, high-level access. They generate text, summarise content, or answer questions. Clawdbot is different. It is given persistent access to systems, services, and computing resources. That means if something goes wrong, everything attached to your system is at risk.
AI tools can also make life easier for threat actors. They help attackers analyse targets, test weaknesses, and exploit security vulnerabilities faster. When an AI agent already has shell access and broad permissions, that job becomes even easier.
Prompt injection is one of the most widely reported weaknesses in AI systems, especially large language models. Clawdbot is particularly exposed because it treats incoming messages as instructions. A single malicious or misleading input can trigger actions the user never intended.
In real security incidents, Clawdbot deployments have been found with exposed admin panels, visible API keys, and missing access controls. In some cases, authentication was bypassed entirely due to misconfigured reverse proxies.
These are not theoretical problems. They are active security vulnerabilities that have already been exploited.
Clawdbot regularly processes sensitive data. Messages. Credentials. Files. Logs. Tokens. That data often includes private or confidential information.
When access controls are weak or incorrectly set, that data is exposed. Attackers do not need advanced techniques. They simply connect to exposed interfaces and extract what they find.
Exposed control panels have allowed unauthorised access to full API keys, chat histories, and credentials. In some cases, attackers rapidly consumed API tokens, causing high and unexpected costs.
Once sensitive data is taken, you do not get it back. There is no undo button. For organisations subject to GDPR and other data protection rules, this creates immediate legal and reputational risk.
Prompt injection attacks are one of the most common weaknesses in AI systems. Clawdbot is especially vulnerable.
Malicious instructions can be hidden inside normal-looking messages, files, or content. Because the AI model treats that input as valid, it can be tricked into running commands it should never run.
That might mean exporting data, changing settings, deleting files, wiping inboxes, or stealing information.
This works hand-in-hand with social engineering. Attackers do not need to break into the system directly. They only need to influence what the AI agent believes it has been asked to do.
Once compromised, Clawdbot can continue operating as normal, making the activity hard to spot.
Clawdbot supports plugins and integrations to extend its capabilities. These often run with high privileges and limited oversight.
Using a backdoored or poorly written plugin can allow credential theft, unauthorised access, or arbitrary command execution. Because everything runs inside the same trusted environment, one unsafe integration can expose the entire system.
This risk does not stop after setup. It continues throughout the life of the deployment.
AI agents rely on machine learning models and training data. That data is not perfect.
Biased training data leads to biased behaviour. Data poisoning attacks can deliberately push models toward harmful outcomes. Over time, models can drift, degrade, or behave unpredictably as they encounter new data and new situations.
When an AI system is allowed to take real actions, those weaknesses matter. Incorrect predictions are not just wrong answers. They can trigger real changes to systems and data.
Large language models were built to generate text, not to manage security, control access, or execute commands. Using them in that role increases risk by design.
Clawdbot highlights a broader issue with how AI systems are being adopted.
Security is often treated as something to deal with later. Monitoring is inconsistent. Incident response plans are missing. Responsibility is unclear.
Keeping AI systems secure is not just a technical challenge. It depends on leadership, communication, and risk management. Without that, AI agents become difficult to control once they are live.
We do not recommend using Clawdbot.
Its ability to operate continuously, execute commands, and act on your behalf makes it extremely hard to secure safely. Even experienced teams struggle to lock it down without creating new risks elsewhere.
There is no deployment approach that fully removes these risks while still allowing the tool to function as intended.
If you want safe and useful AI integration into your business, we can help you identify the best places for it’s use while keeping your data secure.
Clawdbot shows what happens when powerful AI agents are released without strong safeguards. Sensitive data is exposed. Security incidents become more likely. Systems behave in ways you did not plan for.
Artificial intelligence has many benefits. But when an AI system is given authority over real systems and real data, the risks need to be taken seriously.
If you are not completely confident you can secure it, monitor it, and respond when something goes wrong, it should not be running at all.
If you need any help with IT, cyber security, or AI implementation, get in touch today.
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