# DeFi Hack Tracker — 580+ Exploits, Technique Breakdown, Chain (`gochujang/defi-hack-tracker`) Actor Tracks 580+ historical DeFi hacks: funds lost, attack techniques, targeted chains, and recent incidents. Covers flash loans, oracle manipulation, bridge hacks, and more. No API key. $0.005/run. - **URL**: https://apify.com/gochujang/defi-hack-tracker.md - **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community) - **Categories:** Developer tools, Automation, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## DeFi Hack Tracker > Track 580+ DeFi security exploits and hacks: funds lost, attack techniques, affected chains, and time-based trends. Useful for security research, risk assessment, and protocol auditing. No API key. --- ### ⚡ Run in 30 seconds Click **Start** with default settings — you get a summary of 580+ DeFi exploits with total funds lost, a breakdown by attack technique (flash loans, oracle manipulation, reentrancy, etc.), chain breakdown, and the all-time largest hacks ranked by USD lost. No API key needed. --- ### What It Does Fetches the complete DeFi exploit database from DefiLlama and provides: 1. **Summary stats** — total funds lost, recent vs all-time 2. **Technique breakdown** — Flash Loans, Oracle Manipulation, Reentrancy, Infinite Mint, etc. 3. **Chain breakdown** — which blockchains have lost the most 4. **Recent hacks** — exploits within your configured window 5. **All-time largest** — biggest exploits ranked by USD lost --- ### Output Types | type | Description | |------|-------------| | `summary` | Aggregate totals | | `technique_breakdown` | Loss by attack method | | `chain_breakdown` | Loss by blockchain | | `recent_hack` | Hacks within daysBack window | | `all_time_largest` | Top exploits by amount | --- ### Key Fields | Field | Description | |-------|-------------| | `amount_usd` | Funds lost in USD | | `technique` | Attack method (flash loan, oracle, etc.) | | `chain` | Affected blockchain | | `returned_funds` | Amount returned to protocol | | `classification` | HACK, SCAM, RUG_PULL, etc. | --- ### Pricing **$0.005 flat per run.** # Actor input Schema ## `daysBack` (type: `integer`): How many days back to include in recent hacks. Set to 0 for all-time only. ## `minAmountUsd` (type: `integer`): Minimum hack amount in USD. ## `topN` (type: `integer`): Max recent and all-time records to return. ## `chain` (type: `string`): Optional chain filter (e.g. Ethereum, BSC, Arbitrum, Solana). ## `technique` (type: `string`): Optional technique filter (e.g. Flash Loan, Reentrancy, Oracle). ## Actor input object example ```json { "daysBack": 90, "minAmountUsd": 0, "topN": 50 } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("gochujang/defi-hack-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("gochujang/defi-hack-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call gochujang/defi-hack-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gochujang/defi-hack-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DeFi Hack Tracker — 580+ Exploits, Technique Breakdown, Chain", "description": "Tracks 580+ historical DeFi hacks: funds lost, attack techniques, targeted chains, and recent incidents. Covers flash loans, oracle manipulation, bridge hacks, and more. No API key. $0.005/run.", "version": "0.1", "x-build-id": "uYRhK6ZyF2TPA3KI8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gochujang~defi-hack-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gochujang-defi-hack-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gochujang~defi-hack-tracker/runs": { "post": { "operationId": "runs-sync-gochujang-defi-hack-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gochujang~defi-hack-tracker/run-sync": { "post": { "operationId": "run-sync-gochujang-defi-hack-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "daysBack": { "title": "Days Back", "minimum": 0, "type": "integer", "description": "How many days back to include in recent hacks. Set to 0 for all-time only.", "default": 90 }, "minAmountUsd": { "title": "Min Amount (USD)", "minimum": 0, "type": "integer", "description": "Minimum hack amount in USD.", "default": 0 }, "topN": { "title": "Top N", "minimum": 5, "maximum": 200, "type": "integer", "description": "Max recent and all-time records to return.", "default": 50 }, "chain": { "title": "Chain Filter", "type": "string", "description": "Optional chain filter (e.g. Ethereum, BSC, Arbitrum, Solana)." }, "technique": { "title": "Technique Filter", "type": "string", "description": "Optional technique filter (e.g. Flash Loan, Reentrancy, Oracle)." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```