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🔥 0x4m4 / hexstrike-ai - HexStrike AI MCP Agents is an advanced MCP server that lets

GitHub热门项目 | HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities. | Stars: 9,216 | 38 stars today | 语言: Python

2026-06-04 03:00 👁 6 查看原文 →
Reddit r/MachineLearning

Encodec.cpp, a portable C++ implementation of Meta's EnCodec using Eigen [P]

I built a C++ implementation of Meta’s EnCodec using Eigen . Github: https://github.com/pfeatherstone/encodec.cpp Motivation: - A lightweight implementation of EnCodec with no runtime dependencies, in C++ - No ML runtime - Easy integration in CMake project - Maximum performance on single-thread What it supports: - State-of-the-art audio codec - Audio tokenizer - Performance comparable to or exceeding onnxruntime (in my tests) - Dynamic sizes (no batches though) - Weights are compiled into the binary. No need to worry about weights files I'm looking for some feedback. Thank you very much. submitted by /u/Competitive_Act5981 [link] [留言]

/u/Competitive_Act5981 2026-06-03 22:09 👁 5 查看原文 →
Dev.to

Your ATT&CK Heatmap Is Counting Rules, Not Coverage

Every detection vendor ships a MITRE ATT&CK heatmap, and every one of them is mostly green. Broad coverage, techniques lit up across the board, a reassuring wall of color in the sales deck and the board slide. It's the universal flex. We cover the matrix. Then you parse the actual rules – the real YAML in the public repo, not the marketing layer on top of it – and the green collapses into three tactics. Everyone covers execution and persistence. Almost nobody covers discovery, lateral movement, or collection. The heatmap wasn't measuring coverage. It was counting rules, and counting them in a way designed to look complete. What a green cell actually means A green cell in a Navigator layer means one thing: at least one rule somewhere references that technique tag. That's it. Not "we detect this reliably." Not "this fires on real attacks and stays quiet otherwise." Not "this survives an attacker who knows the rule exists." One rule that names the technique in its metadata turns the cell green, and forty rules turn it the same shade. Unless the layer is scored by rule count – and most published heatmaps aren't – one and forty are indistinguishable. I've written before that an untested detection isn't a detection, it's a query that runs on a schedule. The heatmap is the same lie one level up. A green matrix isn't coverage. It's a wall of queries that run, rendered in a color that means "present," dressed up as a color that means "protected." The vendor knows the difference. The buyer staring at the green doesn't. You can measure the real shape yourself Here's the part the heatmap marketing depends on you not doing: the rules are public, and you can count them. SigmaHQ, Elastic's detection-rules, Splunk ESCU, Panther, Sublime – all on GitHub, all tagged with attack.TXXXX technique IDs and tactic tags in the rule metadata. The method is boring on purpose. Walk the rule directories. Pull the ATT&CK tags out of each rule. Aggregate by technique, roll the technique counts up

Chris Ray 2026-06-03 20:48 👁 8 查看原文 →
Reddit r/webdev

I made a free, open-source JIRA Planning Poker App

It's free and open source with markdown files on how to setup it for your team and host it yourself. No more paying for votes or not being able to have sessions persist longer than a few days. Enjoy and please don't eat me alive! This is my first public repo (that is actually substantial) I've put out in the world haha. JIRA Planning Poker Website submitted by /u/brut3F0rc3 [link] [留言]

/u/brut3F0rc3 2026-06-03 08:58 👁 4 查看原文 →