OpenClaw is not safe? But you didn't know that.

English | Chinese Original

English translation of the Chinese original. This version is generated for international readers and may be refined over time.

Date: 2026-03-09

Last Friday, a message was sent from Tun-Tun, saying that you would be welcome to visit the headquarters building in Shenzhen, and that engineers would install OpenClaw on the spot free of charge. As soon as the news came out, the scene went out of control, and almost a thousand people lined up to lead the lobster quickly screen social media.

The grand scene was said to have shocked even Pony.

There is a particularly sweet commentary on the web and a particular response:

** Generations have a single egg to collect**.

It's just that eggs can eat, cook, or even try to hatch chicks.

However, just last weekend, the wind suddenly changed. I found that a lot of public media people started talking about OpenClaw, which spread a little bit fast. Even the Agency for Artificial Intelligence (Droids) in Shenzhen City, Guangdong, has consulted publicly on a number of measures to support the development of OpenClaw&OPC in Shenzhen City.

OpenClaw is an open-source AI smart body tool because its icon is a red lobster that is known as "crawfish".

OPC Full name One Person Company, a "one-person company", is a new entrepreneurship model for the complete chain of product closure (R & D/production/operation/marketing, etc.) done by individuals in collaboration with AI.

Seeing here, I have an idea, this OpenClaw Lobster, almost joined the party. Also, with AI plus, OPC one-person companies will become the dominant business model in the future.

Even a group of Web3 coins started working on the web4 concept, OpenClaw was a new round of web4. Oh, my God.

OpenClaw is completely out of the loop. Yesterday, an old classmate who hasn't spoken to me for 800 years suddenly came up and asked me what OpenClaw was, how to pretend, just ask me.

My last article analyzed three reasons why OpenClaw was so hot, and you deserve to see it.

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However, the official, while referring to OpenClaw and informing you of security risks, did not tell you how to prevent them.

It sounds like a very good starting point to tell everyone to look rationally and not forget safety risks when raising shrimp.

But there's a central issue. Who cares about security risks except for those in the tech world? Even the tech community does not necessarily know that OpenClaw is a security risk.

Isn't that a problem? You told everyone you knew there was a risk, but you didn't tell everyone how to prevent it.

It's all right. I'll tell you.

If you've been concerned about the security of the block chain, you must have heard the name ** Slow Mist**. SlowMist is the best block chain security company in Asia and the world, almost safe in circles. And its founders, the technocrats known for the Internet, are known for their deep technical credentials and their hospitality.

It may not be possible to see this "naked run" situation, just a few days ago, the slow fog team took the shot. They started with a name.openclaw-security-practice-guideThe project, the first time I saw it, was installed.

Github link here. https://github.com/slowmist/openclaw-security-practice-guide

The Star number of this project is rising so fast that it's only 400 in the last two days and 1. 4 k today. It is enough to see how widespread the anxiety about OpenClaw's security is.

Now it's my OpenClaw's daily loophole, rights check and auditing tool. It does work good.

Every morning at work, clawra will send me a detailed report. Suddenly it felt better in the world.

This installation is simple, just throw the Github link directly to your OpenClaw.

It's just that letting AI audit itself and strengthen its security, and letting AI patch itself up, is actually a real Sabbunk magic realism. But in this new era of AI, learning to use AI to manage AI may be the new life skills of our generation.

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However, when it comes to openclaw-security-practice-guide, there are a few points that need clarification.

The project is essentially** an open-source security practice document + a lightweight toolkit** without any black box components, and all scripts and rules can be read and modified directly. Its core is very simple: Markdown document + Linux Shell script. The operating environment only supports the Linux operating system, mainly for the autonomous AI Agent (e. g. OpenClaw) scenario. It also supports Git back-up and Telegram notifications to facilitate the expansion of other channels of notification.

In terms of defensive thinking, it uses the three-layer defence matrix design** covering the full life cycle of AI Agent:

-** ex ante defence**: Intercepting high-risk operations through red/yellow code of conduct; conducting a full-text audit of the Skill/MCP component to prevent the poisoning of the supply chain; strict verification of skill installation rights to eliminate the loading of malicious skills.

• ** Defence in action**: narrow core system file privileges and usechattrLocked to prevent tampering; Hashi baseline of key documents to detect changes in a timely manner; wind-control interception of high-risk operations; full operating log retention to facilitate traceability; and even internal nuclear-level locking of the script itself to prevent malicious damage.

-** ex post **: Night Automation Safety Audit covering 13 core safety indicators; Git Incremental Disaster Preparedness Mechanism Autoback Agent Configuration and Skills; Telegram Real-time Transmission of Aberrant Alerts; also provided a complete Red Corps Test Validation Manual, which allows you to verify the protective effects.

This package covers a number of security scenarios, such as high-risk direct commands, implicit instruction drug poisoning, document theft, core configuration alteration, business fraud, inspection sabotage, operational scratches, etc. For individual users or small teams, there is good conscience.

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But there is no absolute security. The slow fog team itself admitted some of the uncovered scenes**, for example:

• Agent, the cognition is being injected into the attack by a complex reminder that the cognitive layer has been bypassed

• Attacks to read restricted documents under malicious code with UID

• Real-time configuration modification at non-daily levels (false cannot be detected in time between two inspections)

• Out-of-source reports (e. g., Telegram) of occasional failures

In addition to this, I take a closer look at this project, which has some additional missing protective dimensions** that deserve attention:

• ** Cyberlevel protection**: no network access controls, firewall rules, traffic encryption and surveillance are involved, and cyberlevel attacks remain inexcusable.

-** Horizontal Mobile Protection**: Once Agent has been attacked, there is no mechanism to prevent the attackers from permeating other hosts on the Intranet.

• ** Multiple Tenant Segregation**: If a mainframe runs multiple Agents, there is no isolation and there is a risk that rights may be crossed.

-** Memory security**: Memory protection for the Agent process is blank, memory injection, code enforcement, etc. remain at risk.

• ** Third-party reliance on security**: Agent relies on a system library, and if there are gaps in third-party software, the project does not provide an audit mechanism.

-** Emergency response**: lack of standardized post-invasion response processes such as isolation, forensics, rapid recovery.

-** Cross-platform support**: only Linux, Windows and MacOS users are temporarily unavailable.

• ** Real-time threat information**: no source of threat intelligence to respond to the latest 0-day loophole.

• Conformity: non-covered compliance standards of 2. 0, GDP R, etc.

-** Physical security**: threats such as hardware tampering and local physical access are not considered.

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OpenClaw's burst, reflecting the trend of AI intelligence moving from a toy to a popular tool. But the higher the heat, the more security risks cannot be ignored. The slow fog open source.openclaw-security-practice-guideThere is no doubt that a timely cure has been provided to the wider "shrimp breeders", which, with a clear three-tier defence framework, has blocked many of the common path of attack and is entirely open and commendable.

However, we also need to be sober about the fact that there is no single instrument to address all security issues. It's more like a safe baseline to help you get from 0 to 60 points. To truly minimize the risk, a solid defence system needs to be developed that combines network-level protection, emergency response and multiplatform adaptation.

So if you've got lobster, you might want to put it on the project and let AI do a medical check-up. And then, depending on how you use it, think about where it doesn't cover. After all, in this time of fast AI, security consciousness can never be built on one tool alone.