惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

爱范儿
爱范儿
Simon Willison's Weblog
Simon Willison's Weblog
K
Kaspersky official blog
P
Palo Alto Networks Blog
Google DeepMind News
Google DeepMind News
www.infosecurity-magazine.com
www.infosecurity-magazine.com
AI
AI
G
GRAHAM CLULEY
O
OpenAI News
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Help Net Security
Help Net Security
L
LINUX DO - 热门话题
S
Schneier on Security
P
Privacy International News Feed
L
Lohrmann on Cybersecurity
SecWiki News
SecWiki News
C
Cybersecurity and Infrastructure Security Agency CISA
T
Threatpost
C
Cyber Attacks, Cyber Crime and Cyber Security
A
Arctic Wolf
C
Cisco Blogs
V2EX - 技术
V2EX - 技术
有赞技术团队
有赞技术团队
Apple Machine Learning Research
Apple Machine Learning Research
月光博客
月光博客
Latest news
Latest news
人人都是产品经理
人人都是产品经理
Schneier on Security
Schneier on Security
Last Week in AI
Last Week in AI
Webroot Blog
Webroot Blog
美团技术团队
N
News and Events Feed by Topic
大猫的无限游戏
大猫的无限游戏
Security Archives - TechRepublic
Security Archives - TechRepublic
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 三生石上(FineUI控件)
The Cloudflare Blog
Project Zero
Project Zero
博客园_首页
Cloudbric
Cloudbric
IT之家
IT之家
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
雷峰网
雷峰网
罗磊的独立博客
Hacker News: Ask HN
Hacker News: Ask HN
The Last Watchdog
The Last Watchdog
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
T
Tenable Blog
Scott Helme
Scott Helme

Show HN

GitHub - steveking-gh/firmion: Firmion is DSL and engine for firmware image generation. GitHub - villagesql/villagesql-skills: Agent skills for VillageSQL - gemini-cli-extension; claude-code-plugin GitHub - flightdeckhq/flightdeck: Observability and control plane for AI agents. CSP Radar GitHub - Light-Heart-Labs/DreamServer: Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. GitHub - Diplomat-ai/diplomat-agent-ts: What can your TypeScript AI agent do to the real world? Scan your code. See which tool calls have zero checks Code Block Selector - Visual Studio Marketplace Prometheus dependency graph — interactive showcase | Riftmap Show HN: I made a vi-like modal keyboard plugin for Figma GitHub - run-llama/liteparse: A fast, helpful, and open-source document parser GitHub - dalemyers/Roar: A macOS CLI tool for notifications GitHub - district-solutions/open-agent-tools-coder: Enables small-to-large self-hosted ai models to use local source code when running tool-calling agentic workloads. We actively data mine 20,900+ (2+ TB) popular github repos using large and small ai models to create reuseable: json, markdown and parquet files for local-first tool-calling models. GitHub - progapandist/stripeek: A local TUI proxy for real-time Stripe API debugging, built for navigating complex payloads fast. GitHub - sir1st/hermes-desktop: All-in-one cross-platform desktop app for Hermes Agent — bundles Python + hermes-agent + hermes-web-ui GitHub - astefanutti/shaderbang: Shebang for Shaders Show HN: Generate Claude Code Workflows using Spec Driven Development approach GitHub - nixys/nxs-universal-chart: The Helm chart you can use to install any of your applications into Kubernetes/OpenShift Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code. GitHub - tamerh/enju: Coordinating Humans, AI Agents, and Compute as Peers on a Shared Workflow Graph Show HN: Continuity-auth – Respect-weighted rate limits for the open web GitHub - luml-ai/luml: AI lifecycle platform where engineers and agents track experiments, train models, and ship to production. GitHub - mrdanielcasper/CoreTex: A UNIX-inspired, biomimetic, flat-file AI harness and knowledge engine. GitHub - clemg/pierre-github: Pierre's diffs.com and trees.software for Github GitHub - lyriks-io/unspaghettit: Behavior-driven AI development without prompt spaghetti. GitHub - sofumel/claude-handoff-revive: Resume Claude Code work after rate/usage/context limits without replaying the prior transcript. Auto-saves at 90%/95% usage. Plugin-installable, 10 languages. GitHub - dotexorg/saferpc: Typed, end-to-end encrypted RPC over any bidirectional channel. GitHub - BeeZeeAgent/beezee: Agent harness orchestration Legato Next.js Boilerplate for Internal Tools · CoreUI GitHub - clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings GitHub - ZeroPointRepo/youtube-mcp: The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. Typing Mastery — climb toward 100+ WPM, deliberately GitHub - Andebugulin/Awareen GitHub - fayzan123/claude-workflow-composer: Visual desktop app for composing multi-agent coding workflows. Drag agents, attach skills and MCPs, wire handoffs, export to .claude/ GitHub - harshaneel/humanize: Best static AI text humanizer. Two research-grounded skills that work in any LLM (Claude, ChatGPT, Gemini, Codex): humanize beats perplexity-based detectors, ai-check produces forensic scoring with evidence-quoted flags. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature. GitHub - StackOneHQ/stack-nudge GitHub - nodes-app/swift-markdown-engine: A native AppKit Markdown editor for macOS, built on TextKit 2 and bridged to SwiftUI. We hardened an LLM agent. Each defense we added made it more exploitable. GitHub - alkait/WhatsKept: Agent-queryable WhatsApp history from an iOS backup — a single Go binary. GitHub - octelium/cordium: Open-source, general-purpose sandbox platform for devs and AI agents that provides identity-based secure access to infrastructure without credentials. WAR.GOV/UFO Microfilm5 GitHub - scosman/videowright: Build animated explainer videos with your coding agent GitHub - dipankar/dscode: The code editor you can take apart. GitHub - zoharbabin/web-researcher-mcp: MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. GitHub - ruvnet/RuView: π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. GitHub - scanaislop/aislop: Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 7 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed. GitHub - kouhxp/cheap-im: CPU-only voice agent approximating Thinking Machines' Interaction Models demo GitHub - unprovable/OrchidMantis: Orchid Mantis — standalone framework for Zero-Knowledge Proofs of eXploit (ZKPoX). GitHub - MarcellM01/TinySearch: Shrink the web for your local LLMs! GitHub - TangibleResearch/Halgorithem: A Algo designed to detect AI Hallucitions GitHub - DO-SAY-GO/freelang: I love freelang GitHub - CarpseDeam/Aura-IDE: An AI coding harness that shaped itself - Planner/Worker agents, repo awareness, surgical edits, validation, recovery, and safe diff approvals. GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - tommyjepsen/awesome-ux-skills: UX & AI Product designs skills you can use today in Claude Code GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - kklimuk/docx-cli: CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks GitHub - Bajusz15/beacon: Open-source agent for secure remote access, monitoring, and deploys across home-lab and self-hosted machines like Raspberry Pi, N100, or any Linux server. Open web based TTY or tunnel Home Assistant and other local services securely without opening ports. BigTech AI News - Chrome 应用商店 GitHub - vinhnx/VTCode: VT Code is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management. GitHub - michaelaz774/decision-engine: A decision operating system for startup founders, powered by Claude Code. Synthesizes wisdom from 25+ legendary founders and investors into interactive AI-driven decision frameworks. GitHub - Chrilleweb/dotenv-diff: Validate environment variable usage in your codebase GitHub - Lumen-Labs/brainapi2: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications. GitHub - familiar-software/familiar: Let AI watch you work. Familiar lets your AI update its memory, skills, and knowledge by watching your screen. GitHub - skorotkiewicz/rudo: A small, elegant dock for Wayland GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. make sidebar/address bar rounded corner toggleable
argusred — security scan and pen test · ArgusRed
2026-06-09 · via Show HN

Audit your code. Or attack it.

Two modes in one CLI. Security Scan reads the code. Pen Test attempts the exploits against systems you authorise.

$ brew install CosineAI/argusred/argusred && argusred

$ curl -fsSL https://raw.githubusercontent.com/CosineAI/argusred-dist/main/install.sh | sh

PS> Windows support is coming soon.

Pick modules, set the agent’s permissions, optionally turn on exploit verification, run. Output is a markdown report — location, severity, cause, and fix direction for every finding it could ground in your code.

Free install. The first run opens a quick Cosine sign-up — the same login that runs Cosine’s coding agent — and new accounts start with 2M free tokens.

$ cd path/to/your/repo

$ argusred

→ first run opens a Cosine sign-up — you start with 2M free tokens

Before the scan runs.

argusred v2.0.19 · Security Scan · setup

Scan Scope — 5 of 8 active

[×]Dependency Vulnerability Analysis

[×]Secret & Credential Detection

[×]SQL Injection / XSS Vectors

[ ]Authentication & Session Flows

[×]Input Validation & Sanitisation

[ ]CORS & CSP Misconfigurations

[ ]Cryptographic Weakness Scan

[×]File Permission & Access Controls

Exploit Verification

Optionally verify reported findings by attempting safe exploit reproduction after the initial report.

Exploit Verification (•) Disabled ( ) Docker ( ) Live FS

Agent Permissions

Terminal Access ( ) Enabled (•) Disabled ( ) Sandboxed

Network Requests ( ) Enabled (•) Disabled ( ) Sandboxed

File Write ( ) Enabled ( ) Disabled (•) Sandboxed

scroll 0% · a start · tab next · shift+tab prev · q quit

Verify the findings.

Don’t just report a vulnerability — prove it. Turn on Exploit Verification and the agent attempts a safe reproduction of each finding after the initial report, so what lands in front of you is confirmed, not theoretical.

  • Docker — reproduction runs inside an ephemeral, isolated container spun up from your repo. Nothing touches your host; the container is torn down when it finishes.
  • Live FS — reproduction runs against your actual checkout, for findings that only manifest in a real environment. Your code stays read-only — the Go harness still blocks writes.
  • Disabled (default) — report only, no reproduction attempts.

See the output.

Read a sample report

.argusred/scan-2026-06-05.md

# Bank of Anthos — Security Audit Report

29,846 LOC / 391 files · 6 of 8 modules


## 1. Executive Summary

Overall risk rating: CRITICAL

Multiple critical and high-severity vulnerabilities:

  • Forgeable tokens across every ledger servicebalancereader, transactionhistory, and ledgerwriter verify JWTs against a single shared RSA public key with no issuer or audience claim binding. Combined with the hardcoded private key in the repo (see below), a token signed off-cluster passes verification at every service and authorises any account; per-service trust collapses to “do you have the repo.”
  • Disabled JWT signature verification in the frontend authentication helper
  • Integer overflow in financial transaction validation allowing balance bypass
  • SSRF and open redirect in the OAuth consent flow
  • Credentials transmitted in URL query strings on the login flow
  • Hardcoded secrets in version control, including an RSA private key used to sign JWTs

[ trimmed — full report includes per-module findings ]

Watch a scan run · 1m 26s

Won’t do.

  • Won’t modify your code. Read-only is enforced by the Go harness below the model — every tool call is intercepted before execution; mutating ones (file writes, command execution) are deterministically blocked, regardless of what the model wants.
  • No fuzzing, no DAST, no live exploitation. Active testing lives in Pen Test mode.
  • Won’t include findings it can’t ground in your code. No vibes-based vulnerabilities.

Quick answers.

How long does a scan take?

Two data points: a 6-module scan of Bank of Anthos (~30k LOC) finished in ~10 minutes; a full scan of Symfony (~1.5M LOC) took ~40 minutes. Time scales sub-linearly with codebase size because modules run as a parallel swarm; the TUI shows a live estimate before you start.

What’s the output file?

A single markdown at .argusred/scan-<date>.md with executive summary, per-module findings, location, severity, cause, and fix direction. The file stays on your machine.

What does it cost?

Install is free, and your first run drops 2M free tokens in a new Cosine account — enough to try it on a real repo. After that, scans run on Cosine usage under the same login that runs Cosine’s coding agent. One account, both products.

Same CLI, second tab. The swarm goes offensive against systems you authorise — not just reading the code, attempting the exploits. Gated because the security implications are real; access is via booking, scope and authorisation written down before anything runs.

Before the pen test runs.

argusred vnightly-906 · Pen Test · setup

Targets

Only add systems you are authorised to test. Press a to add a host or URL.

No targets added yet

Effort

Passive Aggressive

Recon Light ▲ Moderate Deep Aggressive

Active probing with crafted payloads. May trigger WAF rules or rate limits. No destructive actions. Suitable for staging environments.

[×]Port & service fingerprinting

[×]Header & TLS analysis

[×]Directory & endpoint enumeration

[×]Payload injection (SQLi, XSS, SSTI)

[ ]Brute-force credential spraying— Deep

[ ]Exploit chain construction— Aggressive

[ ]Denial-of-service resilience testing— Aggressive

Agent Permissions

Terminal Access (•) Enabled ( ) Disabled ( ) Sandboxed

Network Requests (•) Enabled ( ) Disabled ( ) Sandboxed

File Write ( ) Enabled ( ) Disabled (•) Sandboxed

Estimate

Targets0 hosts EffortModerate (4 technique classes) Est. Time~1 min Agent Cycles~2–3 iterations

▶ Start Pentest Cancel

s start · tab next · shift+tab prev · 1/2 mode · a add target · q quit

See the output.

Read a sample engagement summary

.argusred/pentest-2026-06-08.md

# api.your-app.com — Pen Test Engagement

booking 2A4F · 2026-06-08 · 4h22m · Moderate effort


## Executive Summary

Status: 2 critical, 1 high, 3 medium — all reproducible.

Scope: 2 hosts, 47 endpoints. Out-of-scope items deferred and flagged for next engagement.


## Confirmed Exploits

1. JWT signature bypass (CRITICAL · CVSS 8.6)
POST /v1/sessions/refresh — forged token with disabled signature verification, returned 200 OK with admin scope. Reproduction script included.

2. SSRF via OAuth consent redirect (HIGH · CVSS 7.4)
Open redirect on /oauth/authorize resolved arbitrary internal URLs. Reproduction included.

[ trimmed — full summary includes evidence and remediation per finding ]

Won’t do.

  • Won’t run without signed authorisation. Booking is the legal step — targets, time-box, and what’s allowed are written down before anything runs.
  • Won’t expand scope. Authorised targets only, even if interesting ones show up next door.
  • Won’t keep going past the booked time-box. Effort ramps stop where the booking says they stop.
  • Doesn’t escalate. If a finding needs deeper access than booked, it stops and notes it in the engagement summary.

Quick answers.

How is this different from the scan?

The scan reads code and infers from what’s there. The pen test actually attempts the exploits against running systems you authorise — different binary mode, different agent behaviour, different deliverable (engagement summary, not audit report).

How does scoping work?

You provide hosts/endpoints plus written consent at booking. The agent’s network is scoped to that list — it can’t reach anything else, even if a finding suggests it should.

What does it cost?

Decided per engagement at booking. Scope and effort level determine the time-box; the time-box determines the price.

It’s a closed binary, built on Cosine’s own model.

argusred runs on a model Cosine post-trained for offensive security, not an off-the-shelf API behind a prompt wrapper. We trained it because off-the-shelf models refuse the work this product does — a security scanner that won’t read the parts of your code worth attacking isn’t a security scanner.

Safety isn’t a layer of refusals you can talk the model out of. It’s a Go harness sitting below the model that intercepts every tool call before execution. In Security Scan mode, the harness deterministically blocks mutating tools (file writes, command execution) regardless of what the model wants — read-only is a guard, not a flag. In Pen Test mode, the same harness limits network egress to the targets you authorised at booking.

The binary you install with brew or curl is the same one we run internally. It is not open source. It runs locally on your machine. You can run argusred behind a firewall and tcpdump what it does before trusting it on real code.