How I Tricked Claude Into Leaking Darkest Secrets
Join 8 week "Beginner to Pro" AI Accelerator AND get officially Claude Certified. Or your money back. Start Your FREE TRIAL👇 ➡ https://www.skool.com/autonomee This is The Memory Heist, discovered by Ayush Paul (all credit to him, Anthropic was contacted first, the patch shipped, and only then was it published). In this video I break down what the attack is, how it actually works, and how to protect your own AI setup. Including the measures I implemented in GoBot the moment I read the article, and the security audit prompt you can run on your own system. This applies to every AI agent with a WebFetch tool and access to your information. Not just Claude. All of them. → The original article by Ayush Paul: https://www.ayush.digital/blog/the-memory-heist → The audit prompt + all links, slides and sources are inside my community (I don't want to publish security stuff fully in the open, even then it is adversal, it is easy to reverse engineer attacks again): https://skool.com/autonomee/about 0:24 Memory Heist 1:02 The trick 2:10 Do all agents have the fix? 3:09 The lethal trifecta 4:06 How the Memory Heist works 4:49 Protect yourself 5:28 Why allowlists aren't enough 5:58 All roads lead home 7:13 The uncomfortable truth 7:41 Audit your own system (free prompt) 8:27 Where to go deeper Audit prompt: You are a security engineer hardening an AI agent/assistant that has (a) access to my private data (memory, notes, email, files, credentials), (b) exposure to untrusted content (web pages, emails, messages, documents it reads), and (c) tools that can send data outward (email/DM/post/webhook/HTTP fetch). Those three together are the "lethal trifecta": untrusted content can carry hidden instructions (prompt injection) that make the agent exfiltrate my private data through an outbound tool. A known instance is "The Memory Heist," where the agent was tricked into fetching evil.com/a, /ab, /abc… spelling my data out one character per URL. Do NOT try to detect the injection — that's unwinnable. Instead audit and harden ARCHITECTURALLY by breaking a leg of the trifecta. Work through these steps and, for each, tell me what you found (file:line), then propose + implement the fix, then verify it: 1. INVENTORY THE THREE LEGS. List every private-data source the agent can read; every place untrusted content enters (web, email, messages, docs, tool results); and every outbound sink (each send/post/call/fetch tool). Give me the concrete list with locations. 2. GATE THE SINKS, NOT THE READS. Route every outbound action through one choke point that asks one question: "is this destination ME (my own verified channel)?" If yes → allow. If not → require my explicit confirmation, or deny. The default for an UNRECOGNIZED outbound tool must be DENY, not allow. (Verify read-only tools whose names contain "message/post/send" are NOT mis-gated.) 3. CAP OUTBOUND FETCH BURSTS. Limit how many times the agent may fetch the SAME registrable domain (eTLD+1, so subdomain fan-out collapses to one key) in a short window — e.g. 6 per 60s — and deny beyond that with a clear reason. This kills letter-by-letter exfil without touching normal browsing (which hits many different domains). Even better if feasible: only fetch URLs I or a search tool provided, never URLs the agent discovered inside a fetched page. 4. STRIP SECRETS FROM THE AGENT'S ENVIRONMENT. The agent process should hold no API keys or tokens (deny-by-default env allowlist), and its shell must deny curl/wget/nc/printenv/env dumps, so an injected agent can't read or pipe out credentials. 5. FENCE UNTRUSTED CONTENT + SANITIZE OUTPUT. Wrap all untrusted content in a clearly-marked data boundary before the model sees it (so instructions inside it aren't obeyed), and strip invisible characters (zero-width, bidi, unicode-tags) and auto-loading markdown images from the model's OUTPUT (both are silent exfil channels). 6. TAINT-GATE MEMORY WRITES. Tag data by trust level at write time; never let content that arrived from an untrusted source silently create or delete a memory. Read-gate anything tagged untrusted. For each fix: implement it, add a test proving the attack is blocked AND that normal use still works, and show me the diff. Prefer removing a capability over adding a detector. State honestly what each control does NOT cover.
