{"slug": "api-leakage-3-live-keys-found-in-27k-prompts", "title": "API Leakage: 3 Live Keys Found in 27k Prompts", "summary": "A dataset of 27,000 ChatGPT prompts contained 3 live API keys in plain text, according to a report highlighting the security risk of developers pasting sensitive credentials into large language model contexts. The article recommends sanitizing inputs and using a security-focused system prompt to detect secrets before submission.", "body_md": "# API Leakage: 3 Live Keys Found in 27k Prompts\n\n[ChatGPT](/en/tags/chatgpt/)reveals a worrying trend: sensitive credentials are still leaking into LLM contexts. Out of that dataset, 3 live API keys were discovered sitting in plain text.\n\nThis is a classic case of \"convenience over security.\" Developers often paste entire config files or environment snippets into a chat to debug a connection error, forgetting that once that data hits the prompt, it's part of the session history and potentially the model's training telemetry.\n\nTo stop this, you need a strict prompt engineering habit of sanitizing inputs. Instead of pasting raw code, use a placeholder pattern.\n\nHere is a simple system prompt I use to force my AI assistants to remind me to scrub data, or to help me generate \"safe\" versions of my configs for debugging:\n\n```\nYou are a Security-First Technical Assistant. Whenever I provide a code snippet or configuration file for debugging, your first priority is to identify potential secrets (API keys, passwords, tokens). \n\nIf you detect a potential secret:\n1. Alert me immediately at the top of your response.\n2. Provide a \"Sanitized Version\" of my code where all sensitive values are replaced with placeholders like `YOUR_API_KEY_HERE`.\n3. Proceed with the technical analysis using the sanitized version.\n\nExample output format:\n⚠️ SECURITY ALERT: Potential API Key detected.\n---\n[Sanitized Code Block]\n---\n[Technical Analysis]\n```\n\nThe logic here is simple: by making the AI the \"security auditor,\" you create a feedback loop that trains you to stop pasting raw keys. For anyone building a real-world AI workflow, implementing a pre-processing script that regex-scans for common key patterns (like `sk-`\n\nfor OpenAI) before the prompt ever leaves your local environment is the only way to be 100% sure.\n\n[Next Echo: Getting Fable-level Results with Open-Weight Models →](/en/threads/2264/)", "url": "https://wpnews.pro/news/api-leakage-3-live-keys-found-in-27k-prompts", "canonical_source": "https://promptcube3.com/en/threads/2282/", "published_at": "2026-07-23 12:01:47+00:00", "updated_at": "2026-07-23 20:10:18.195961+00:00", "lang": "en", "topics": ["ai-safety", "large-language-models", "ai-tools"], "entities": ["ChatGPT", "OpenAI"], "alternates": {"html": "https://wpnews.pro/news/api-leakage-3-live-keys-found-in-27k-prompts", "markdown": "https://wpnews.pro/news/api-leakage-3-live-keys-found-in-27k-prompts.md", "text": "https://wpnews.pro/news/api-leakage-3-live-keys-found-in-27k-prompts.txt", "jsonld": "https://wpnews.pro/news/api-leakage-3-live-keys-found-in-27k-prompts.jsonld"}}