Lobster Craze Prompts Ministry of State Security to Issue OpenClaw Safety Breeding Manual
In 2026, the open-source AI agent tool OpenClaw (nicknamed "Lobster") became a sensation due to its exceptional autonomous execution capabilities. However, as the "raising Lobster" trend spread across the country, underlying native security risks also drew the attention of state authorities. Recently, the National Security Bureau released the "Lobster Safe Breeding Manual" via its official account, urging users to exercise discernment and use it responsibly.

From "Solution" to "Execution": The Core Strength of OpenClaw
Unlike traditional large models that only offer consultation advice, "Lobster" is a deeply integrated communication platform with advanced "digital employee" capabilities. Its key features include:
Autonomous Execution: It can remotely execute commands via chat applications, going beyond simple Q&A interactions.
Plugin Ecosystem: It includes toolchains for various scenarios, such as file management, email composition, and web browsing.
Self-Improvement: It features long-term memory and continuously learns and adapts to user behavior preferences.
Proactive Service: It supports scheduled task triggering, enabling users to "issue instructions at night and get results by morning."
Beware of the "Backlash": Hidden Dangers Behind the Glossy Data
The State Security Bureau specifically highlighted four core risks associated with the "raising lobster" process:
Host Takeover Risk: Users often grant it highest-level permissions to enable full functionality. If attackers compromise the system, device management rights could be seized.
Data Theft Crisis: If personal sensitive information is processed by "Lobster", an attack could easily trigger a large-scale privacy breach.
Speech Manipulation Threat: The agent can independently post on social networks, which could be exploited by malicious actors to spread misinformation or commit fraud.
Hidden Vulnerabilities: "Lobster" lacks professional patching mechanisms, and the stealth of malicious plugin poisoning far exceeds that of traditional trojans.
Expert Advice: How to Raise Lobster Responsibly?
To ensure that "Lobster" serves as an efficient productivity tool rather than a security risk, the manual recommends that users:
Regular "Check-ups": Review whether permission settings are overly permissive and whether plugin sources are trustworthy. Any serious risks should be isolated and taken offline immediately.
Principle of Least Privilege: Strictly limit the scope of operations and run it in isolated environments such as dedicated virtual machines or sandboxes.
Compliance Operations: Establish comprehensive operation audit logs and apply strong encryption to sensitive data.
Currently, some universities have mandated the complete uninstallation of this tool. Regulatory authorities stress that only under the premise of safety and controllability can this "open-source wonder" truly serve production and daily life.
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In 2026, the open-source AI agent tool OpenClaw (nicknamed "Lobster") became a sensation due to its exceptional autonomous execution capabilities. However, as the "raising Lobster" trend spread across the country, underlying native security risks also drew the attention of state authorities. Recently, the National Security Bureau released the "Lobster Safe Breeding Manual" via its official account, urging users to exercise discernment and use it responsibly.

From "Solution" to "Execution": The Core Strength of OpenClaw
Unlike traditional large models that only offer consultation advice, "Lobster" is a deeply integrated communication platform with advanced "digital employee" capabilities. Its key features include:
Autonomous Execution: It can remotely execute commands via chat applications, going beyond simple Q&A interactions.
Plugin Ecosystem: It includes toolchains for various scenarios, such as file management, email composition, and web browsing.
Self-Improvement: It features long-term memory and continuously learns and adapts to user behavior preferences.
Proactive Service: It supports scheduled task triggering, enabling users to "issue instructions at night and get results by morning."
Beware of the "Backlash": Hidden Dangers Behind the Glossy Data
The State Security Bureau specifically highlighted four core risks associated with the "raising lobster" process:
Host Takeover Risk: Users often grant it highest-level permissions to enable full functionality. If attackers compromise the system, device management rights could be seized.
Data Theft Crisis: If personal sensitive information is processed by "Lobster", an attack could easily trigger a large-scale privacy breach.
Speech Manipulation Threat: The agent can independently post on social networks, which could be exploited by malicious actors to spread misinformation or commit fraud.
Hidden Vulnerabilities: "Lobster" lacks professional patching mechanisms, and the stealth of malicious plugin poisoning far exceeds that of traditional trojans.
Expert Advice: How to Raise Lobster Responsibly?
To ensure that "Lobster" serves as an efficient productivity tool rather than a security risk, the manual recommends that users:
Regular "Check-ups": Review whether permission settings are overly permissive and whether plugin sources are trustworthy. Any serious risks should be isolated and taken offline immediately.
Principle of Least Privilege: Strictly limit the scope of operations and run it in isolated environments such as dedicated virtual machines or sandboxes.
Compliance Operations: Establish comprehensive operation audit logs and apply strong encryption to sensitive data.
Currently, some universities have mandated the complete uninstallation of this tool. Regulatory authorities stress that only under the premise of safety and controllability can this "open-source wonder" truly serve production and daily life.
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Meta, the social media giant, is once again embroiled in a public debate regarding the delicate balance between artificial intelligence and user privacy. According to TechCrunch, Meta’s Superintelligence Labs introduced a new AI image generator, Muse
DeepMind CEO Hassabis: I sleep six hours a day, usually feel energetic around 1 a.m.
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