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github.comrepo🧠 AI

SnailSploit/Claude-Red

claude-red is an MIT-licensed library of offensive security skills for the Claude Skills system, planned at about 130 skills across 23+ categories (web, Active Directory, cloud, exploit development, EDR evasion and others). Each skill is a SKILL.md file that loads on conversational triggers, so unused skills cost no context. It installs by git clone, sparse checkout per category, install.sh or pasting into a system prompt.

ClaudeGitGitHub
Kai AizenSnailSploitSahar Shlichov

prompting, coding-agents· Added 22 Oct 2026

github.comrepo🛡️ Security

SnailSploit/Claude-Red

claude-red is a library of offensive security skills for the Claude Skills system, each a SKILL.md file that loads on conversational triggers (for example, mentioning SQL injection loads offensive-sqli). Categories include web, Active Directory, cloud, mobile, exploit development, fuzzing, privilege escalation, post-exploitation and AI. It targets about 130 skills across 23+ categories, with an install script and sparse-checkout install per category. Built on Sahar Shlichov's offensive checklists, MIT licensed.

ClaudeClaude CodeActive Directory
Kai AizenSahar ShlichovSnailSploit

Offensive Security, AI Security· Added 22 Oct 2026

github.comrepo🧠 AI

bilawalsidhu/gods-eye-view

God's Eye View is an open-source, vanilla JavaScript + CesiumJS + Vite 3D globe that fuses live public feeds (aircraft, ships, satellites, quakes, public cameras, weather) into one explorable scene. Its AI layer is a hands-free voice agent on the OpenAI Realtime API with 30 tools: camera fly-to, whiteboard annotations, analyst queries over live layers, and scene-context and screenshot grounding. Keys stay server-side and the browser gets only a short-lived session token. An experimental ChatGPT/Codex OAuth path is also supported. The app doubles as an MCP server, so Claude Desktop, Codex or ChatGPT can open the globe from a conversation.

OpenAI APIModel Context ProtocolCesiumJS+8
God's Eye ViewBilawal SidhuHalfpixel+2

llm-apps, mcp, multimodal· Added 11 Oct 2026

github.comrepo🧠 AI

Talorys – A self-hosted personal AI agent on Cloudflare's free tier

Talorys is an open-source, single-user personal AI assistant deployed with one command (npx create-talorys) into the user's own Cloudflare account. It uses a Cloudflare Agents SDK Durable Object with SQLite for conversations, memories, tasks, notes and automations, Workers AI (@cf/zai-org/glm-4.7-flash) for streaming chat with tool calling, and Durable Object alarms for reminders and scheduled AI routines. It stays within the Workers Free plan, with a private Worker behind a Pages Function service binding, owner-password auth, per-day AI usage guardrails, and fallback to non-AI features when quota runs out.

CloudflareCloudflare WorkersCloudflare Agents SDK+12
TalorysGLM

agents, llm-apps· Published and added 10 Oct 2026

github.comrepo🧠 AI

Show HN: NanoMuse – An open-source AI agent for your phone and computer

nanoMuse is an open-source personal AI agent that runs across phone, desktop, and web, built on an on-device sandbox (OpenMinis with proot/Alpine Linux on mobile) and the DeepSeek Harness on desktop with a Python runtime for tool use. Devices share one account and sync conversations through a relay (self-hostable), while the agent proactively acts, retains memory, and pauses before irreversible actions; it is released GPL-3.0-or-later with documentation on install, self-hosting, connectors, and memory.

Model Context ProtocolPythonDeepSeek+2
nanoMuseMetaDeepSeek Harness+13

agents· Published and added 7 Oct 2026

github.comrepo🧠 AI

Show HN: OpenChart – OSS TradingView alternative with your own AI agent

OpenChart is an open-source TradingView-style desktop charting app (Electron, Node.js/Bun, Effect runtime) that embeds AI agents into statistical/technical analysis, real-time market alerts and agentic opportunity research. It ships a custom DSL called Tea (inspired by TradingView's Pine Script) for writing indicators, and a conversation interface built on assistant-ui and the AG-UI event protocol so users converse with agents while charting.

Node.jsBunElectron+3
OpenChartlongsurf.aiTea+7

agents, llm-apps· Published and added 6 Oct 2026

github.comrepo🛡️ Security

MITRE ATLAS v2026.08 release — autonomous agent techniques

Release notes for MITRE ATLAS v2026.08, the adversarial AI/ML knowledge base (now 1 matrix, 16 tactics, 114 techniques, 83 sub-techniques, 39 mitigations, 72 case studies). This version renames the "AI Attack Staging" tactic to "AI Attack Adaptation," generalizes several techniques (e.g., Cloud Service Discovery → Enterprise Resource Discovery, Process Discovery → Enterprise Environment Discovery, Reverse Shell → Cyber Communication Channel), and updates mitigations and techniques like LLM Prompt Crafting and Retrieval Content Crafting.

MITRE ATLAS
AI Attack AdaptationAI Attack StagingEnterprise Resource Discovery+8

AI Security· Added 1 Oct 2026

github.comrepo🧠 AI

rehan-remade/universal-modder

universal-modder is a set of Agent Skills, a CLI (um) and a shared knowledge base (field notes in knowledge/) that let AI coding agents such as Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot and OpenCode find a PC game's engine, reverse-engineer its code, build a working mod, generate art/3D/sound assets via the fal MCP server (or a local ComfyUI server), test the mod in the running game, and write a field note for the next agent. It ships worked examples — a weapon/boss pack for Terraria via tModLoader, a new civilization for Age of Empires II DE, and a real-time Minecraft-inside-GTA-V passthrough mod — each documented with a field note of exact versions, routes and gotchas, and agents can open pull requests to grow the shared knowledge base.

Model Context ProtocolClaude CodeCodex+11
falElevenLabsTerraria+19

coding-agents, mcp· Added 6 Oct 2026, published 30 Sep 2026

github.comrepo🛡️ Security

https://github.com/dmdhrumilmistry/security-harness

security-harness is an open-source Claude Code plugin (also packaged for Gemini CLI, Codex and opencode) that orchestrates subagents — sh-recon, sh-hunter, sh-chainer, sh-verifier, sh-reporter — through a static-analysis pipeline covering 15 vulnerability classes (IDOR/BOLA, SQLi, XSS, SSRF, injection, auth, deserialization, path traversal, secrets, CSRF, XXE, open redirect, crypto, race conditions, file upload), producing README/JSON/SARIF/HTML/PDF reports with PoCs, CVSS and CWE/OWASP mappings. It also ships sh-pr-review, a per-PR merge-gate skill that posts inline findings and a commit status scoped only to code the PR itself introduced or aggravated, with caching, dedup via fingerprints, and a scheduled GitHub Action that keeps its per-class knowledge bases fresh by having one AI agent draft updates from allowlisted sources (OWASP, PortSwigger Research, CWE/CAPEC, HackerOne) while a separate adversarial reviewer agent fails-closed against prompt injection before auto-merge.

Claude CodeGemini CLISARIF+3
IDORBOLASSRF+1

AppSec, AI Security, DevSecOps· Added 2 Oct 2026, published 29 Sep 2026

github.comrepo🛡️ Security

Adversarial-Detection-Engineering/adeskills

adeskills is a working knowledge base for "Adversarial Detection Engineering" (ADE), a taxonomy of four categories and 16 subcategories of detection-logic bugs (e.g. Reformatting in Actions, Omit Alternatives, Context Development, Logic Manipulation) that explain why a SIEM/EDR/XDR rule fails to catch what it intends to. It ships 38 worked technique files with vulnerable/hardened rule examples and detection-layer guidance, a cross-platform bug-pattern catalog, a pre-engagement scoping checklist, and a Redamon-packaged skill (ade_scoper), all grounded in analysis of real public rulesets from Sigma, Elastic Security, and Microsoft Sentinel. It's explicitly scoped for defensive detection engineering and purple-team rule hardening, with several files documenting real vendor-rule weaknesses.

SigmaMicrosoft SentinelElastic Security+3
Nikolas BielskiDaniel Koifman

Blue Team & Detection· Added 2 Oct 2026, published 27 Sep 2026

github.comrepo🛡️ Security

MITRE ATLAS v2026.09 data release

Release changelog for MITRE ATLAS's atlas-data repository, the structured YAML/STIX dataset behind the ATLAS knowledge base of adversary tactics and techniques targeting AI-enabled systems (prompt injection, model/data poisoning, AI agent tool abuse, AI supply chain compromise). The v2026.09 release brings the matrix to 120 techniques, 88 sub-techniques, 40 mitigations, and 73 case studies, and recent versions introduced a new v6 YAML data format with Pydantic/SQLAlchemy/FastAPI tooling, platform tagging (Predictive AI, Generative AI, Agentic AI, Enterprise), and renamed/generalized techniques like "AI Agent Tool Poisoning," "Manipulate AI Model," and "Enterprise Resource Discovery." It's the canonical, actively-maintained taxonomy practitioners use for AI red-teaming, threat modeling, and mapping real-world AI attack case studies.

MITRE ATLAS
AML.T0019AML.T0058AML.T0104

AI Security· Added 26 Sep 2026

github.comrepo🛡️ Security

SnailSploit/Claude-Red

claude-red is a GitHub library of structured SKILL.md files for the Claude Skills system, each priming Claude with expert-level offensive-security methodology for a specific attack surface (SQL injection, shellcode, EDR evasion, ADCS abuse, wireless, IoT, cloud, mobile, fuzzing, etc.). Skills load on-demand from conversational triggers so context isn't spent on unused domains, and can be installed wholesale, per-category via sparse-checkout, or pasted directly into a system prompt. It's aimed at authorized red-team engagements, bug bounty triage, CTF prep, and operator training, building on Sahar Shlichov's offensive checklist collections.

ClaudeClaude CodeActive Directory
Kai AizenSnailSploitSahar Shlichov

Offensive Security, AI Security· Added 21 Sep 2026

github.comrepo🛡️ Security

Lonkero — Rust web vulnerability scanner (v3.7, AI agent mode)

Lonkero is an open-source Rust web vulnerability scanner (v3.7) combining 125+ context-aware scanners with an AI agent mode that drives targeted scans via natural-language conversation (using Claude, GPT, or local Ollama models). Notable techniques include a browser-free "proof-based" XSS engine that mathematically proves exploitability from reflection context + escape behavior, an "OOBZero" engine for detecting blind SQLi/SSRF/XXE via Bayesian multi-channel statistical inference and Pearson-correlated timing attacks without external callback infrastructure, Next.js middleware-bypass detection (CVE-2025-29927, CVE-2024-34351), AWS Cognito user-enumeration checks, and a scanner module that detects invisible prompt-injection payloads hidden in README.md files targeting AI coding assistants.

RustClaudeOllama+3
CVE-2025-29927CVE-2024-34351CVE-2023-23752+6

AppSec, AI Security, Offensive Security· Added 21 Sep 2026

github.comrepo🛡️ Security

Shor

Shor is a source-available, multi-tenant autonomous pentesting platform where a ~17-agent LLM pipeline (discovery, hypothesis, adversarial screening jury, exploitation, proof replay) attacks a target URL and optionally its connected source repo. It wields 30+ real offensive tools (sqlmap, dalfox, nuclei, jwt_tool, hydra, ffuf, etc.) plus SAST/secret/SCA tools (Semgrep, Gitleaks, TruffleHog, OSV-Scanner, Trivy) in white-box mode, and only reports findings whose PoC is deterministically re-executed and confirmed by a code-enforced safety layer under a signed Rules of Engagement, with scan authorization gated behind single-use human-minted tokens on its MCP/automation surface.

SemgrepGitleaksTruffleHog+3
MITRE CAPECPolyForm Noncommercial License 1.0.0

Offensive Security, AppSec, AI Security· Added 22 Sep 2026, published 19 Sep 2026

github.comrepo🧠 AI

kerpopule/hermes-jev-skills

hermes-jev-skills wires TypeSafe's small, fast decision model "Jev" into agent workflows (Hermes, Claude Code, Codex) to handle cheap sub-decisions — which model should answer a turn, which of many skills to load, which retrieved passages matter, which conversation turns survive a summary — instead of burning frontier-model tokens on them. It ships ten agent-agnostic SKILL.md files, a CLI (jev routing/mail/screen/search), a local dashboard, and a plugin built on public Hermes seams (pre_llm_call, transform_tool_result, llm_request middleware) with detailed data-redaction guarantees for what gets sent to the Jev API. It also includes a shadow mode for safely evaluating routing decisions before enabling them.

Claude CodeCodexPython+4
JevTypeSafeHermes+2

coding-agents, agents, ai-infra, mcp· Added 26 Sep 2026, published 18 Sep 2026

github.comrepo🛡️ Security

OWASP Agentic Skills Top 10 (AST10)

The OWASP Agentic Skills Top 10 (AST10) is a new security framework cataloging the 10 most critical risks in AI agent "skills" — the behavior layer that orchestrates multi-step tool use in OpenClaw, Claude Code, Cursor/Codex, and VS Code. It documents real 2026 incidents (the ClawHavoc registry-poisoning campaign with 1,184 malicious skills, Snyk's ToxicSkills audit of 3,984 skills finding 36.82% flawed, CVE-2025-59536/CVE-2026-21852 RCE in Claude Code project files, and CVE-2026-28363 ClawJacked WebSocket hijacking) and proposes a Universal Skill Format (YAML) with signing, permission allowlists, and identity-file protections to mitigate them, mapped to CSA's MAESTRO 7-layer threat model.

OpenClawClaude CodeCursor+3
CVE-2025-59536CVE-2026-21852CVE-2026-28363+17

AI Security· Added 18 Sep 2026

github.comrepo🛡️ Security

Cloudflare security-audit-skill

security-audit-skill is a Cloudflare open-source coding-agent skill that turns an AI coding agent into a structured vulnerability hunter, running six phases: reconnaissance into architecture.md/coverage-ledger.json, coverage-led hunting by isolated sub-agent "hunters," adversarial candidate validation, structured findings.json output validated against a report-schema.json, independent re-verification of claims, and target-neutral report generation (REPORT.md, FINDINGS-DETAIL.md, NEEDS-VALIDATION.md). It is installed via the Skills CLI (`npx skills add`), uses Node.js validators (validate-coverage-ledger.cjs, validate-findings.cjs), requires a sandboxed environment for safely executing target code/tests/fuzzers, and is the single-repo seed for Cloudflare's larger fleet-wide vulnerability discovery harness described in a companion blog post.

Claude CodeNode.jsCloudflare

AppSec, AI Security· Added 22 Sep 2026, published 15 Sep 2026

github.comrepo🛡️ Security

Maskit

Maskit is a local privacy gateway that sits between AI coding tools (Cursor, Claude Code, Codex, ChatGPT, Claude, DeepSeek) and the model provider, automatically redacting sensitive data — API keys, database connection strings, private IPs, PEM keys, JWTs, PII like phone numbers/ID numbers — into placeholders before requests leave the machine, then streams responses back with the placeholders transparently restored. It works as a local reverse proxy (per-protocol ports for OpenAI/Anthropic/DeepSeek) plus a browser extension (Chrome/Edge MV3) that intercepts Fetch/XHR traffic on ChatGPT, Claude and DeepSeek web UIs, including redaction of uploaded Office documents. It also includes a lightweight local ONNX NER model for names/orgs/addresses, placeholder consistency across multi-turn conversations, and passive prompt-injection detection on model replies.

CursorClaude CodeChatGPT+3

AI Security· Added 22 Sep 2026, published 15 Sep 2026

github.comrepo🧠 AI

Pal-AI-Lab/Cortico

Cortico is an open-source agent harness built around an event stream, designed for autonomous, continuously running agents that handle mixed real-time input across chat platforms, live games, and even physical environments. It provides modular LLM provider components (via an internal Responses protocol), unconstrained context/memory management, an isolated extension system called Cortico World, and a WebUI, with a companion AI-assisted extension creator (Cortina) that lets non-developers build extensions through conversation. A reference use case is cortico-world-vtuber, which drives a Live2D model via VTube Studio with streaming TTS and OBS overlay integration.

Node.js
Pal AI LabCorticoCortina+2

agents· Added 26 Sep 2026, published 13 Sep 2026

github.comrepo🧠 AI

headroomlabs-ai/headroom

Headroom is an open-source (Apache 2.0) local compression layer that sits between AI agents and LLM providers, compressing tool outputs, logs, RAG chunks, files and conversation history before they reach the model. It offers a Python/TypeScript library, a drop-in proxy, an `headroom wrap` mode for popular coding agents (Claude Code, Codex, Cursor, Copilot, Aider, etc.), an MCP server, cross-agent shared memory with dedup, and output-token reduction via verbosity steering and effort routing — all running locally with reversible compression (CCR) so originals stay retrievable.

Model Context ProtocolClaude CodeCodex+6
HeadroomKompress-v2-baseSerena+3

ai-infra, coding-agents, mcp· Added 23 Sep 2026, published 7 Sep 2026

github.comrepo🧠 AI

choirboy-prompt

choirboy-prompt is a cross-runtime agent-memory plugin that loads project lore, research indexes, and validated dossiers into agent sessions via SessionStart hooks (Claude Code, Codex) or full plain-text payloads (Kimi, OpenCode, Hermes), so new conversations continue from established project history instead of starting cold. It handles installation across multiple agent apps, migration of project artifacts between checkout locations, and includes a build/verify pipeline (build-context.py, test.sh) for authoring canonical lore files like prompt.md, user.md, and lore.md.

Claude CodeCodexOpenCode
KimiGrok BotHermes+1

coding-agents, agents· Added 22 Sep 2026, published 31 Aug 2026

github.comrepo🛡️ Security

age

age is a simple, modern file encryption tool, format, and Go library by Filippo Valsorda and @benjojo, offering small explicit keys, no config options, UNIX-style composability, and now built-in hybrid post-quantum encryption (ML-KEM + X25519) as of v1.3.0. It supports multiple recipients, passphrase encryption, SSH key (ed25519/rsa) recipients/identities, hardware tokens via age-plugin-yubikey, and an age-inspect command to view encrypted-file metadata without decrypting.

GoSSH
age-keygenage-inspectage-plugin-yubikey+4

other· Added 3 Sep 2026, published 31 Aug 2026

github.comrepo🧠 AI

emlai/defi-native-skill

An open-source Agent Skill ("defi-native") that teaches Claude Code, Cursor, Codex and other Agent-Skills-compatible agents capital-markets and DeFi domain knowledge, including yield decomposition, vault/curator anatomy, oracle classes, and stablecoin/RWA taxonomy. It is structured with progressive disclosure (SKILL.md routes to task-specific reference files only when needed), an api-routes.json router that forces live data pulls (vaults.fyi, DefiLlama, Morpho's GraphQL, rwa.xyz, Merkl, 130+ protocol docs) before any numeric claim, and a verified 90+ source manifest. The author describes an eval-gated release process (paired with/without-skill runs graded on structure) and adversarial review by independent models before publishing, making it a useful case study in skill engineering even for readers uninterested in DeFi itself.

Claude CodeCursorCodex+1
Emily Lai

prompting· Added 2 Oct 2026, published 28 Aug 2026

github.comrepo🛡️ Security

MinIO Security Lab

A defensive security review lab for MinIO pinned at commit 7aac2a2 (~RELEASE.2025-10-15+11), providing Docker-based single-node, two-node replication, and dual-OIDC environments plus per-finding repro.sh PoCs for issues including service-account key path traversal, server-update SSRF, cross-provider OIDC token acceptance, source-IP/X-Forwarded-For trust, tag-deletion replication bypass, batch job data exfiltration, and secrets exposed via config history. Each of 16+ findings (F-01 through F-16) has ANALYSIS.md with root cause, data-flow trace, and suggested fix, produced via a generate/judge/independent-verify pipeline with cross-vendor adjudication (including an OpenAI/codex-based verifier) and live validation on a lab-built Go binary; ~90 candidates were triaged with ~55 set aside as false positives or intended behavior.

MinIODockerGo+2
SSRFpath traversal

AppSec· Added 3 Sep 2026, published 21 Aug 2026

github.comrepo🛡️ Security

Orbien

Orbien is a lightweight (~5MB binary) NAT traversal / intranet penetration tool written in Rust with Tokio, supporting tunnel protocols (TCP, UDP, HTTP, HTTPS, SOCKS5) over multiple transports (TCP, KCP, WebSocket, QUIC). It provides token-based tunnel authentication and TLS/mTLS encryption, positioning it as a secure, high-performance alternative to frp for exposing internal services or pivoting through NAT.

RustTokioQUIC+2
frp

Offensive Security· Added 3 Sep 2026, published 21 Aug 2026

github.comrepo🛡️ Security

VaultKeepR/vaultkeepr-public

vaultkeepr-public is the MIT-licensed repository behind VaultKeepR, a zero-knowledge password manager. It holds 15 SDK packages published to npm under @vaultkeepr and Solidity contracts on Base L2 that anchor vault locations, recovery fragments and digital legacy, tested with Foundry. Encryption is XChaCha20-Poly1305 with Argon2id (t=3, m=64 MiB, p=4), and docs/THREAT_MODEL.md covers assets, adversaries and trust boundaries. Clients stay in a private repository.

VaultKeepRSolidityFoundry+3
XChaCha20-Poly1305Argon2id

Identity & Access· Added 23 Oct 2026, published 12 Aug 2026

github.comrepo🧠 AI

Armada

Armada is a CLI tool (npm package @rafamacalaba/armada) that turns a repository into a multi-agent "fleet" of 8 specialist AI roles (developer, QA, security, adversary, architect, Commodore orchestrator, etc.) built on opencode. It implements "loop engineering": a contract-driven control loop (contract → dispatch → build → test → review → PR) with maker/checker separation, parallel phase dispatch in isolated git worktrees, evidence-gated transitions, and crash-proof on-disk state, aiming to replace unsupervised one-shot agent prompting with a verified, resumable workflow that lands a reviewed PR.

opencodeNode.jsOpenRouter+1
ArmadaNovitaStreamLake+1

coding-agents, agents· Added 22 Sep 2026, published 10 Aug 2026

github.comrepo🧠 AI

wanmol/goal-flow

goal-flow (goalflow) is a production-oriented framework built on LangGraph that offers two complementary ways to build LLM apps: transpiling Dify Studio's drag-and-drop workflow DSL export into a version-controllable, runnable LangGraph Python file, and building ReAct/Deep/custom agent loops with a vendored agent_kit SDK. It includes a FastAPI HTTP layer, a node library (LLM, code, HTTP, if/else, classifier, iteration, loop, tool, agent, doc-extractor), a chunk-processor that turns raw LangGraph streams into semantic SSE events consumable by pluggable data adapters (Dify/OpenAI/custom), Redis/MySQL persistence, human-in-the-loop interrupts, a skills engine, and Langfuse tracing. It was extracted from an internal production system and reports sustaining 100 concurrent conversations on modest hardware (2 vCPU/4GB per replica).

LangGraphPythonRedis+3
DifyLangfuse

agents, llm-apps· Added 30 Sep 2026, published 6 Aug 2026

github.comrepo🛡️ Security

SecureAI-Scan

SecureAI-Scan is an offline CLI that performs import-resolved dataflow analysis on TypeScript, JavaScript, and Python code to find LLM/MCP/Agent-Skill/RAG-specific risks (prompt injection, tool poisoning, unsafe output handling, vector-store access control), mapped to the OWASP Top 10 for LLM Applications, Agentic Applications, and MCP Top 10. It distinguishes proven dataflow traces from heuristic keyword matches, scans .mcp.json/claude_desktop_config.json/SKILL.md for tool-poisoning and command-injection patterns (citing the WhatsApp MCP rug-pull and postmark-mcp backdoor), and includes evasion-resistant deobfuscation checks built in response to the "Cloak and Detonate" adversarial study (arXiv:2607.02357) that bypassed most published skill scanners. It also runs offline advisory checks against known-malicious/vulnerable packages (validated against CVE-2025-6514 and CVE-2024-34359) and integrates via GitHub Actions, pre-commit hooks, SARIF output, and an MCP server for Claude Code.

Model Context ProtocolTypeScriptPython+3
CVE-2025-6514CVE-2024-34359postmark-mcp backdoor+4

AI Security, Supply Chain· Published and added 5 Aug 2026

github.comrepo🛡️ Security

Visa Vulnerability Agentic Harness (VVAH)

VVAH is Visa's open-source agentic harness that runs an eleven-stage (S0–S11) LLM pipeline to discover, verify, report, and optionally remediate/validate application vulnerabilities, built on learnings from Anthropic's Project Glasswing. It combines threat-modeled discovery, multi-lens adversarial analysis, interprocedural taint analysis, and a beta live-HTTP "exploit verification" stage (S6) that proves exploitability and supports regression-testing fixes via ev-replay, outputting Markdown and SARIF 2.1.0 findings with CVSS/CWE data.

SARIFCVSSPython+3
Project Glasswing

AppSec, AI Security· Published and added 29 Jul 2026

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