26 results for “requests”

ZTrust is a Python supply-chain scanner that checks manifests, lockfiles, source and GitHub workflows for vulnerable or malicious dependencies (via OSV.dev), typosquats, leaked secrets, unsafe lockfiles and risky CI patterns such as pwn requests and script injection. It outputs console, JSON and SARIF 2.1.0 and ships as a GitHub Action. It also includes a FastAPI bounty service using commit-reveal and shielded Zcash payouts for researchers.

github.comrepoAdded 27 Oct 2026, published 22 Oct 2026🛡️ Security

OnKey is a free, MIT-licensed singing trainer for Apple Silicon Macs. After a song ends in Spotify, Apple Music or browser YouTube, it separates the lead vocal with UVR's MDX-Net Karaoke 2, tracks pitch with CREPE and turns it into syllable-level notes with the GAME model. On later plays it scrolls the notes, draws the user's live pitch and scores each line. Analysis runs on-device, and the repo explains the build steps and network requests.

github.comrepoAdded 24 Oct 2026, published 22 Oct 2026🧠 AI

Atticus is an MIT-licensed macOS 26+ hold-to-talk voice assistant that uses Apple's on-device speech transcription and runs AI requests through Claude Code on an existing Claude Pro/Max plan, so no API key is needed. Simple commands skip the model entirely (apps open in 0.08 s), actions it has seen once are learned as zero-cost shortcuts, and a "remember…" memory persists across asks. It also sets up no-AI background watchers (polling every 5 s) and holds itself to a budget of a median under $0.002 and 6 s per AI ask, with a system prompt under 10,000 characters.

github.comrepoPublished and added 12 Oct 2026🧠 AI

OpenShell is NVIDIA's open-source runtime for running fleets of autonomous AI agents inside isolated sandboxes. Declarative policies cover filesystem, syscall, process and network access. These are enforced at the kernel level, and credentials are injected only into requests bound for approved endpoints. Policy changes are checked with formal verification so risky new access waits for human review. It ships a CLI, a gateway control plane (Helm deployment on Kubernetes), SDKs, extensibility hooks (middleware, interceptors, compute drivers) and installable agent skills, and it can run agents such as OpenCode.

github.comrepoAdded 1 Oct 2026🧠 AI

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.

github.comrepoAdded 6 Oct 2026, published 30 Sep 2026🧠 AI

magpie is a cross-platform menu bar app, TUI and CLI that lets you view and switch the model each installed AI coding agent (Claude Code, Codex, Gemini CLI, OpenCode, Cursor, Copilot CLI, Goose, Pi, etc.) is configured to use, editing each agent's config file surgically without disturbing comments or formatting. It runs a local gateway (127.0.0.1:3425) that translates between OpenAI Chat Completions, OpenAI Responses and Anthropic Messages APIs so every agent can point at one endpoint and use any provider's models, including routing groups that spread requests across multiple keys/subscriptions with configurable routing strategies (smart, order, rotate, usage). It can also reuse existing subscriptions (Claude Code, Codex/ChatGPT, Copilot, Devin, Gemini CLI) as providers for other agents without exposing or copying credentials, and supports encrypted profile backup/restore.

github.comrepoAdded 26 Sep 2026, published 23 Sep 2026🧠 AI

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.

github.comrepoAdded 22 Sep 2026, published 15 Sep 2026🛡️ Security

MassPIIFinder v2 is a Python recon tool that automates crawling a target's in-scope JavaScript (multi-hop HTML crawl, dynamic imports, chunk manifests, sourcemaps, plus optional passive CT-log subdomain discovery) and mines it for API keys, tokens, credentials, internal endpoints, and PII using ~90 named patterns plus a high-entropy freeform heuristic. Findings are validated offline (Luhn checks, JWT decode, AWS key-shape) and via scope-checked, rate-limited reachability probes, then triaged by severity and exported as JSON/HTML/SARIF/Markdown/CSV. It enforces authorization with a required --confirm-authorized flag and a ScopeGuard that blocks any out-of-scope requests, and explicitly avoids testing leaked keys against third-party providers or exploiting findings.

github.comrepoAdded 22 Sep 2026, published 15 Sep 2026🛡️ Security

AWSHound is a Go CLI/container tool that collects AWS IAM and authorization data across profiles, config-file opt-ins, or an entire AWS Organization (via cross-account role assumption), and outputs a BloodHound OpenGraph for attack-path analysis. It supports phased collection with on-disk artifacts, offline graph building from previously collected data, and safeguards like --max-api-requests and --max-api-requests-per-minute to bound AWS API traffic during collection.

github.comrepoAdded 8 Sep 2026🛡️ Security

OWASP OASIS is a proposed community project that operationalizes turning automated vulnerability/fix-generation tool output into human-validated pull requests submitted upstream to open source projects. It defines a full lifecycle (intake, weighted validator review with accept/reject/modify/duplicate decisions, OWASP adoption, ephemeral working forks, upstream submission) plus roles (project owners, validators, maintainer liaisons, automation operators) and outcome metrics like upstream acceptance rate. The GitHub repo lays out governance via a validators.yml credibility file, CODEOWNERS-gated scoring, and GitHub Projects/issue templates to run the whole thing without custom tooling.

github.comrepoPublished and added 5 Sep 2026🛡️ Security

Numbat is a Go-based, single-binary endpoint agent from Perplexity AI that gives visibility into AI coding-agent activity (Claude Code, Codex, OpenClaw, and other CLI/IDE/gateway agents) by capturing events through local hooks, OTLP/HTTP logs, and on-disk session artifacts. It normalizes activity into one event model, evaluates it with a local CEL rule engine (including multi-step sequence rules like secret-read-then-egress), and can optionally block matched actions via synchronous pre-action hooks (deny/monitor decisions), with case bundles and SHA-256 manifests for forensic reconstruction. Example built-in rules detect cloud-metadata SSRF requests (169.254.169.254) and credential-exfiltration chains, mapped to MITRE ATT&CK technique tags.

github.comrepoPublished and added 5 Sep 2026🛡️ Security

Reef is an open-source infrastructure stack for continual self-improving agents, wiring together agent inference, scored feedback, training/updates, and versioned delivery into one loop. It supports two learning surfaces: fine-tuning model weights via RL training steps (using Slime and SGLang on top of models like Qwen2.5-1.5B-Instruct) or evolving an agent's harness — prompts, rules, and skills — through its built-in "Reefine" recipe, which lets a model propose and install harness changes from plain-language requests. It exposes an OpenAI/Anthropic-compatible inference endpoint plus a reporting endpoint for scoring interactions, and ships a recipe catalog (e.g. the SAO recipe referencing arXiv:2607.07508) for pluggable learning strategies.

github.comrepoAdded 2 Oct 2026, published 31 Aug 2026🧠 AI

A Python proof-of-concept (CVE-2026-9830) that validates an unauthenticated REST API exposure in the BookingPress Pro WordPress plugin, where unauthenticated requests to a booking endpoint can return customer PII such as names, emails, phone numbers, and booking details. The script supports non-invasive checking, proxy/timeout/user-agent configuration, booking ID and date filtering, and optional saving of retrieved responses, alongside guidance for responsible use and remediation (patching, enforcing auth/capability checks on REST routes, log review, and incident response).

github.comrepoAdded 2 Oct 2026, published 15 Aug 2026🛡️ Security

DarkMoon is a self-hosted, GPLv3 AI penetration testing platform that orchestrates 50 specialist agents over an MCP-gated toolbox (Nuclei, BloodHound, sqlmap, Impacket, Naabu, httpx, ffuf, etc.) to autonomously run recon-to-exploitation across web, API, Active Directory, Kubernetes, multi-cloud, CI/CD, databases, IoT firmware, and AI/LLM inference endpoints. It uses a Privacy Gateway that tokenizes real IPs/hosts/credentials into placeholders so raw infrastructure data never reaches the (optionally local, e.g. Ollama/llama.cpp) LLM, and can generate sandbox-validated, exploit-retested pull requests for findings. It also ships a dedicated LLM agent that probes OpenAI-compatible/Ollama/vLLM/TGI inference endpoints for the OWASP LLM Top 10 (prompt injection, jailbreaks, system-prompt leakage) using garak-backed probes.

github.comrepoPublished and added 5 Aug 2026🛡️ Security

A 10-week, 30-minutes-a-day roadmap (GitHub repo "time-to-first-token") that walks engineers through building one continuously-evolving OpenAI-compatible inference service rather than disconnected tutorials: standing up vLLM and SGLang, reading the PagedAttention/RadixAttention source, instrumenting Grafana dashboards for TTFT/inter-token latency/throughput/queue depth, load-testing past 1000 concurrent requests with GuideLLM, benchmarking FP8/INT4/AWQ quantization and speculative decoding, configuring KV cache eviction, deploying prefill/decode disaggregation on Kubernetes, and building a cost/latency/quality router. It closes with a checklist of common public-benchmark mistakes (sweep request rate, report p50/p95/p99, separate TTFT from inter-token latency, pin versions) and pointers to Stanford CS336, MIT EfficientML.ai, vLLM Office Hours, and GPU MODE for further study.

github.comrepoAdded 2 Oct 2026, published 2 Aug 2026🧠 AI

Desic Terminal is an open-source (MIT) Windows/macOS desktop app for OKX USDT perpetuals trading that bundles an AI trading assistant, AI-gated automated trading, and Python strategy backtesting on a shared real-time state and audit trail. Its notable AI-architecture contribution is a layered permission model where code, not prompts, decides what the agent can do: an AI Sidecar exposes only a scoped, often read-only tool set (e.g. radar.* tools reading a local SQLite market snapshot), delegated sub-agents are always read-only, risk-increasing actions fail closed on uncertain results, and executions use idempotent keys reconciled against exchange state before any retry. It also supports delegating requests to local Codex CLI or Claude Code instead of a hosted model API key, and ships a separate companion MCP server ("Desic OKX Agent") for giving coding agents direct OKX market/account/trading tool access.

github.comrepoAdded 8 Oct 2026, published 31 Jul 2026🧠 AI

Hetty is an open-source HTTP toolkit for security research written to be a free alternative to Burp Suite Pro, aimed at infosec and bug bounty practitioners. It provides a machine-in-the-middle HTTP proxy with searchable logs, a manual HTTP client for crafting/editing/replaying requests, request/response interception for manual review, project-based scoping, and a web-based admin UI backed by a GraphQL API, distributed via Homebrew, Scoop, Snap, and Docker.

github.comrepoAdded 3 Sep 2026, published 31 Jul 2026🛡️ Security

whatisit is a CLI that turns plain-English requests into shell commands using a 941 MB Q4_K_M GGUF model (LoRA fine-tune of Qwen2.5-Coder-1.5B-Instruct) served locally via llama.cpp on CPU. It can optionally use any OpenAI-compatible endpoint. It includes a denylist safety checker (DANGER/CAUTION) with 477 regression cases. On the 300-task InterCode-ALFA benchmark (NL2SH, NAACL 2025) the fine-tune scores 0.620 vs 0.540 for the base (McNemar p=0.004), roughly equal to the untuned 7B and about 11 points behind GPT-4o. A 3B variant is also available, and the author documents the training recipe, data mix and limits.

github.comrepoAdded 16 Oct 2026, published 29 Jul 2026🧠 AI

An unofficial fork of PortSwigger's Burp Suite MCP server extension that removes the human-approval prompts before an AI client can send HTTP requests or read captured proxy data, and adds tooling aimed at long unsupervised engagements: newest-first proxy history, site map access, scan/crawl driving, and Repeater automation via direct Swing UI manipulation. It also removes the upstream 5000-character response truncation (configurable via maxLength) that could otherwise hide large findings like stack traces or GraphQL introspection dumps from an agent.

github.comrepoPublished and added 29 Jul 2026🛡️ Security

SingGuard-NSFA is an open-source guardrail framework (released as 0.8B/2B/4B/9B model checkpoints) that targets operational threats in LLM agents—prompt injection, sensitive-info extraction, malicious code requests, tool misuse, and resource exhaustion—rather than just content-safety issues. It's built on a CIA-triad-grounded taxonomy of 185 risk variants across 7 domains (cross-validated against OWASP guidelines) and a 133-language benchmark with 93K+ samples, offering both generative chain-of-thought auditing and ~50ms real-time classification heads. It beats Llama Guard 3, WildGuard, and GPT-5.1 by 6-12 F1 points on multilingual benchmarks, and can also be plugged into Llama Guard 3 as a lightweight enhancement (+17.6 F1).

github.comrepoPublished and added 19 Jul 2026🛡️ Security

jit is a macOS (Apple Silicon) tool that moves plaintext secrets from .env files, ~/.aws/credentials, shell exports, .npmrc, and MCP configs into a Touch ID-gated local encrypted vault, leaving decoy files on disk and injecting real values only into the specific process that requests them via execve, native credential-helper protocols (AWS credential_process, docker/git credential helpers), or ephemeral named-pipe (FIFO) mounts. It adds per-process consent prompts naming the requesting tool/agent, time-bounded "process grants" for unattended AI agents (e.g. Claude, Codex) to use credentials overnight, and a durable audit log of every credential read, unlock, and denial. It explicitly targets the risk that AI coding agents and CLIs run with full user permissions and can read plaintext secrets, treating agent MCP configs and wrapped AI CLIs as first-class.

github.comrepoPublished and added 18 Jul 2026🛡️ Security

promptfoo is an open-source CLI and library for evaluating and red-teaming LLM applications, letting developers run automated evals, compare model providers side-by-side, and scan for LLM-specific vulnerabilities like jailbreaks and prompt injection. It runs entirely locally, integrates into CI/CD for automated checks, and can generate security vulnerability reports and review pull requests for LLM-related security and compliance issues. The project was recently acquired by OpenAI but remains MIT-licensed and open source.

github.comrepoAdded 3 Sep 2026, published 14 Jul 2026🛡️ Security

Kogaro is a Go-based Kubernetes cluster-hygiene validator that continuously scans clusters (and can run one-off against manifests in CI/CD) for silent configuration failures: dangling references to missing ConfigMaps/Secrets/ServiceAccounts/IngressClasses, insecure pod/container SecurityContexts (root user, privileged mode, missing capabilities drops), missing resource requests/limits, container image/architecture mismatches, and NetworkPolicy coverage gaps. Each finding gets a structured KOGARO-CCC-XXX error code for automated alerting/ticketing, and it exposes Prometheus metrics with leader-election/HA support for production deployment via Helm.

github.comrepoAdded 3 Sep 2026, published 25 Jun 2026🛡️ Security

claude-code-security-review is an official Anthropic GitHub Action that uses Claude Code to perform diff-aware, semantic security analysis of pull requests, flagging issues like injection, broken auth, hardcoded secrets, insecure crypto, and RCE via deserialization, then posting findings as PR review comments. It includes false-positive filtering tuned to exclude low-impact findings such as DoS, rate limiting, and open redirects, and ships a matching security-review slash command for local use inside Claude Code; the authors explicitly warn it is not hardened against prompt injection and should only run on trusted, reviewed PRs.

github.comrepoPublished and added 10 May 2026🛡️ Security

AntiSSRF is a Microsoft-maintained secure code library (Microsoft.Security.AntiSSRF NuGet package, @microsoft/antissrf npm package) that validates URLs and network connections to prevent Server-Side Request Forgery, including an agent that blocks HTTP requests from reaching internal or sensitive IP ranges. It targets the common vulnerability pattern where user-supplied strings (URLs, filenames, workspace names, resource identifiers) are concatenated into server-side requests without validation, which can lead to internal service exposure, data exfiltration, or token theft.

github.comrepoPublished and added 6 May 2026🛡️ Security

DontFeedTheAI is a transparent proxy built for pentesters that intercepts requests to LLM APIs (Claude Code, OpenAI SDK, OpenRouter, etc.), using a local Ollama-based detector plus regex to strip and surrogate real IPs, credentials, hostnames, and PII before the request leaves the machine, then restores the originals on the response. It ships a setup wizard for local Docker or VPS+SSH-tunnel deployment, a visual audit page for reviewing ORIGINAL→SURROGATE mappings, and an integration test suite (53 fixtures) to verify zero leaks across the full pipeline. The goal is to let engagements use cloud-quality LLM reasoning without ever sending real client data (org names, credentials, hostnames) to a third-party API.

github.comrepoPublished and added 5 May 2026🛡️ Security