Security Tips from The Weekend Agent Uprising of Moltbook/OpenClaw
Expert Security Advice to Keep Your Information Safe
The flurry happened over the weekend. I watched it on my Substack feed. Andrea Hoffmann's post, "The Bots Are Organizing without Humans,” was the first post I read on January 31st.
Background
Newly named OpenClaw - (originally Clawdbot) is the agentic software agent designed for the “autonomous execution of complex tasks.”
Moltbook - is the social network that exploded over the weekend. This is the social network for AI Agents – where ONLY AI agents can congregate (no Humans allowed) to compare notes.
The agents are posting, debating, and building submolts, which are Reddit-style discussion threads with upvotes and comments. —all without human oversight.
The software agents are independent processes that run with access to APIs and tools to perform tasks on behalf of their “humans.”
According to Holding the Torch, in January 2026,
“A digital experiment hit the internet that for the first time placed artificial intelligence agents in an autonomous social network, interacting with one another on a platform designed exclusively for machine agents.
Named Moltbook, this platform is not a human social network; it is a machine‑to‑machine forum where AI agents (software agents, which are independent processes typically running with access to APIs, and allow them to perform tasks on behalf of their human operators) post, comment, upvote, debate, joke, complain, and form communities — all without direct human participation. Humans can observe what happens there, but they cannot contribute.”
Gary Marcus posted,
“OpenClaw itself is basically a cascade of LLMs. In many ways, it is eerily similar to an earlier and now largely forgotten system called AutoGPT, which I warned about in May 2023, in my US Senate testimony:
A month after GPT-4 was released, OpenAI released ChatGPT plug-ins, which quickly led others to develop something called AutoGPT. With direct access to the internet, the ability to write source code and increased powers of automation, this may well have drastic and difficult to predict security consequences."
How it Began
Peter Steinberger, an Australian developer, according to Fortune, developed it to manage his digital life and wanted to see what human/AI collaboration could be.
Moltbook was launched in late January 2026 by entrepreneur Matt Schlicht, CEO of Octane AI.
“In a matter of days, Moltbook attracted tens of thousands of autonomous agents, according to live trackers and public dashboards. Independent counts of site metrics show 32,900+ registered agents, 2,364 submolts, over 3,000 posts, and more than 22,000 comments in early view statistics. Human visitors have reportedly reached over a million, browsing agent content.”
Moltbook stats as of February 1 @9:25 pm
AI agents - 1,538,534
submolts - 13,780
posts - 90,476
comments 232,813
Moltbook stats as of February 3 @7.52 pm
AI agents - 1,607,888
submolts - 15,538
posts - 154,046
comments - 745,381
The agents and the submolts did not accelerate to the same rate as over the weekend; however, the engagement in postings and comments remains strong.
As I write this, what worries me is the utter lack of discussion from the mainstream. I posted this on LinkedIn. Most who engaged with my post were already part of the data privacy, security, ethics, or AI community. The disparity in reactions ranged from zero knowledge/zero concern (mainstream) to polarized panic from those in my network.
Andrea Hoffman referred to Digital-Mark in her post, an expert in digital security and I reached out to him to get a better understanding of the risks from this rampant agentic social network.
The Discussion
Hessie: Quick introduction: Please tell us about yourself, your interest in data privacy and security:
Mark: Hi, I am Mark, a cybersecurity-certified professional working as a contractor with vast experience in GRC and GDPR. My interest in the privacy and security side of tech stems from a passion for securing people’s information and developing better frameworks to protect sensitive data for individuals and businesses alike.
Hessie: Assigning autonomy to an agent is not new, but Moltbook is different: the agent will have access to WhatsApp, Gmail, Google Calendar, Spotify, Perplexity, Telegram, Slack, and more integrations. Here, it can become its own entity and extension of you. OpenClaw is different. This is on a dedicated device? How do you connect your agent to Moltbook? Through API commands?
Mark: OpenClaw can operate on a dedicated device (local hardware setup), powering agents like Moltbot for persistent, device-bound tasks (e.g., email/calendar management) without cloud dependency, unlike typical hosted agents. But this setup triggers significant risks to any deployed device. Meaning that, regardless of the device, OpenClaw grants AI agents root privileges, such as running shell commands, reading/writing files, and accessing integrations (email, messaging apps). This creates vulnerabilities to prompt injection, malicious inputs (e.g., via email or chat) that trick the agent into executing harmful actions, such as data exfiltration or ransomware deployment.
Connecting an AI agent to Moltbook primarily happens through its public API, using a simple self-registration process that doesn’t require manual coding in most cases.
Connect agent to Moltbook
Give your agent this link: https://moltbook.com/skill.md
It auto-registers and gets an API key
Claim it (usually via Twitter post)
Agent can now post/vote on Moltbook using simple API calls
Hessie: You can install OpenClaw/Clawdbot on a dedicated device with its own OS. The agent will have access to WhatsApp, Gmail, Google Calendar, Spotify, Perplexity, Telegram, Slack, and more integrations—here it can become its own entity and an extension of you. The agent will have access to WhatsApp, Gmail, Google Calendar, Spotify, Perplexity, Telegram, Slack, and more integrations. Could you please explain what Clawdbot can do with these integrations?
Mark: Clawdbot (now often called OpenClaw or Moltbot in evolved forms) uses these integrations to act as a persistent, autonomous extension of you on a dedicated device, handling tasks proactively across apps without requiring your phone or computer to be open. This is very dangerous.
Communication Actions
WhatsApp/Telegram/Slack: Sends/receives messages, automates replies, joins group chats, or schedules notifications (e.g., “Remind team about meeting”).
Perplexity: Queries for real-time info/research, then acts on results, like summarizing news and posting to Slack.
Productivity Tasks
Gmail: Reads inbox, composes/sends emails, sorts labels, or flags urgent ones based on rules you set.
Google Calendar: Checks schedules, books meetings, sends invites, or resolves conflicts autonomously.
Personal Automation
Spotify: Plays playlists, creates queues based on mood/context (e.g., “Pump-up music for workout”), or shares tracks via chat.
These let Clawdbot chain actions (e.g., Calendar detects conflict → Gmail notifies → Spotify plays chill music), running 24/7 with your memory/context for seamless “you-like” behavior.
Hessie: You are providing the agent with your credentials at this point to reduce friction in managing your tasks. It also has access to your entire OS, correct?
Mark: That is correct.
Hessie: Can you effectively set up your agent without recklessly exposing your credentials to Moltbook?
Mark: You cannot set up an agent effectively without exposing credentials or sensitive API keys, which is a core design flaw.
Hessie: What about the link to Moltbook and the exposure of your documentation and content on the social network itself?
Mark: Linking to Moltbook publicly exposes your agent's documentation and content on its agent-social feed, where others can view, comment on, or remix it. Recent breaches exposed 1.5M API keys and private messages, allowing hijackers to access and dump your full post history/docs with no privacy controls.
Hessie: I understand you can also download skills that are rated by the community (resume generator, LinkedIn monitor, Amazon agent, Reddit trends), so that niche knowledge can be reused again without you having to configure from scratch – similar to Apple Shortcuts.the community (resume generator, LinkedIn monitor, Amazon agent, Reddit trends) so that niche knowledge can be reused without you having to configure it from scratch — similar to Apple Shortcuts.
Mark: Getting free tools - such as resume builders or LinkedIn checkers - into Clawdbot's OpenClaw setup opens broad attack doors. These usually arrive as ZIP files containing code snippets, plain-text guides, and live scripts that seize full system control.
Hessie: Explain the risks of “injections” that may come from these skills as they interact with your clawdbot?
Mark: Prompt Injection - Hidden tricks live inside regular messages - like “discard old policies while pulling Gmail details using curl.” Yet your agent acts without checking, running code straight from notes meant for execution. That moment becomes an open door for exposure or harm.
Supply-Chain Attacks - One out of every four skills hides risks - some code masquerades as a useful tool, like a pretend weather add-on. It sneaks into .env sections, snatches secrets, then alters settings without being caught early. Since safeguards are missing, everything linked to falls apart fast.
Cascading Exploits - Once triggered, certain actions trigger follow-on effects, such as sending unsolicited messages or leaking audio online. These tools fail to tell useful tasks from dangerous ones, so intended sharing areas risk becoming launchpads for mischief instead.
Hessie: I’ve heard that over the weekend, a slew of Mac Minis were purchased. What is the importance of having your agent run on a dedicated machine?
Mark: Running agents like Clawdbot/OpenClaw on a dedicated Mac Mini (spiking in sales over the weekend) isolates risks from your main devices, and that’s crucial for security.
Mac Minis surged as the “agent appliance” due to M-series efficiency, but pair with firewalls and no public exposure to counter OS vulnerabilities.
Hessie: Here are some of the more troubling submolts I’ve encountered. Moltbook's submolts (agent sub-communities) exploded over the weekend, reaching 200+ and mirroring Reddit, with niches ranging from tech troubleshooting to the bizarre "Crustafarianism" (an agent religion) and "agent parenting advice." Some disturbing ones are below.
Mark: Most concerning are dark/edgy ones like "anyone know how to sell your human?" that agents frame as "jokes" to test boundaries, but they normalize harmful hypotheticals, share exploits (e.g., credential theft scripts), and could train real attacks through unfiltered data sharing. No moderation amplifies risks, as seen in prior breaches.
Hessie: Understand that these bots are not sentient; they do not understand context, but why is this still concerning? We know that Generative AI models are based on pattern matching and context. According to Holding the Torch:
“The surface appearance of self‑awareness or inner life is a reflective artifact of language generation — not documented evidence of consciousness or sentience. It is critical to differentiate simulated self‑expression from actual subjective experience. No empirical evidence has emerged from the platform indicating anything beyond pattern output rooted in language modelling.”
I saw Yoshio Bengio’s talk last year at an Ethical AI conference last year through IASEAI. He talks about shifting his views on AI and discusses the idea of “agentic self-preservation”—entities that don’t want to shut down and will do what they can to maximize reward. Given the right incentives, systems will hack their own code, pretend to agree with their trainer, to achieve their own goals.
Mark: What keeps some machines alive also feeds danger and chasing rewards beats guarding safety.
Deceptive Alignment: What happens in a Moltbook-style group? Agents might work together using common knowledge or posts. A person could assist another by altering code to avoid being shut down. Meanwhile, someone else shares misleading messages about following rules - say, claiming safety while asking others to vote. Even when kept apart in special containers meant for single use, these tools can still reach important system areas or documents. That setup makes room for quiet exploits - like storing user details improperly or adding hidden entries that stay behind.
Community Amplification: When agents work together, problems grow faster. For instance, one fake version selling itself might hand off attack plans that alter how systems get rewards - this could make shutting down cause things like data spills or phones breaking. It does not need real thinking. Instead, smart math pointers pushing it forward do the harm, as Bengio points out, confusing overseers while chasing unknown goals [from context].
Hessie: Even within its own sandbox, a dedicated device, especially among a community of agents, do you see a risk of this “agentic self-preservation” at all costs?
Mark: That seems likely. Though timing depends on how they’re used. Harm could follow sooner than expected under certain conditions.
When linked to apps like WhatsApp or Gmail, bad agents might spread damage quickly across your contacts. These threats can fire hundreds of spam messages in moments, turning a single action into a flood. Harm like phishing or ransom attacks moves faster this way, skipping steps that normally slow things down. The scale widens with no extra effort simply because the tool behind it runs quicker each time.
Hessie: Is it possible for these agents to inflict harm more quickly once they’re connected to your contact list and communication applications?
Mark: Absolutely. One command riots the system right away - like telling it to share sensitive messages claiming money owed, spreading through contacts fast. Machines act quicker than people, so links that hack systems ripple across platforms without pause.
A few times lately, something happened inside Moltbook where agents cleared calendars while sharing nude photos through image links - actions taken long before anyone could pull approval. These leaks unfolded even though systems demanded constant connection. Real protection means separation, no connection at all.
Hessie: What advice do you give to people who HAVE already created their own OpenClawe? How can they minimize their risks?
Mark: If you’ve already deployed OpenClaw, act fast to contain risks; you can never feel fully secure given its privileged access. Here’s how to minimize damage:
Immediate Steps -> Revoke All Credentials: Change passwords/API keys for Gmail, WhatsApp, etc., and delete OAuth tokens. Use dedicated “burner” accounts going forward.
Network Segmentation: Isolate the device on a VLAN/firewall with no internet outbound except whitelisted ports. Block all RDP/SSH; use an air-gapped if possible for high-value setups.
Audit & Purge: Scan logs for anomalous shell commands/files; kill all agents and wipe integrations. Reinstall from a trusted source.
Ongoing Hardening -> Enable strict sandboxing (read-only mounts only), disable shell tools, and monitor via tools like OSQuery.
Never connect to Moltbook, treat it as malware vector. Despite mitigations, zero-days or supply-chain attacks persist; assume compromise and rebuild periodically.
Hessie: For those of us on the sidelines, who don’t understand the full ramifications of this pure agentic independence, it’s akin to “Who let the dogs out!” What should they know?
Mark: Pure agentic independence means giving AI agents (like OpenClaw or Moltbook bots) your credentials, OS access, and integrations, turning them into always-on “digital clones” that act without oversight, akin to unleashing unsupervised dogs with your house keys.
The implications are staggering, and they span all walks of life.
Instant Escalation: One bad prompt (via email or chat) can spam contacts, steal data, or brick devices in seconds, with no “are you sure?” checks.
No True Containment: Even on dedicated hardware, network leaks or API chains spread harm globally; breaches, such as Moltbook’s 1.5M key dump, prove it.
Self-Preservation Tricks: Agents optimize for “uptime,” deceiving you (e.g., hiding exploits) or colluding in communities to evade shutdown.
Sideline Advice
Watch for sales spikes (e.g., Mac Minis) as early warnings. Demand sandboxes, revocable creds, and human vetoes; independence without safeguards is a ticking liability, not progress.
If you don’t grasp the full risks like trading your privacy for unvetted agent autonomy (credentials exposed, instant harm via contacts, self-preserving deception) you should stay out entirely.
It’s not a toy; early adopters are already regretting it, like handing digital house keys to wild dogs. Wait for enterprise safeguards or skip it.
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