「embed」の検索結果

Identify and exploit default or weak credentials on web application login forms, admin panels, CMS backends (WordPress wp-admin, Joomla, Drupal), and embedded device management interfaces. Signals include framework fingerprinting (WhatWeb, Wappalyzer, Nikto), exposed admin paths from robots.txt/dirbusting, and weak password policy acceptance of "Password1" or "123456". Tools: Burp Suite Intruder, Hydra, Medusa, OWASP ZAP.

日本語の概要は準備中です。原文の説明を表示しています。

Chroma vector database -- collection management, automatic embedding, metadata filtering, document storage, query patterns

日本語の概要は準備中です。原文の説明を表示しています。

Official Cohere TypeScript SDK patterns -- CohereClientV2, chat, embeddings, rerank, RAG with citations, tool use, streaming, and model selection

日本語の概要は準備中です。原文の説明を表示しています。

Together AI SDK patterns for TypeScript — client setup, chat completions, streaming, structured output, function calling, embeddings, image generation, fine-tuning, and OpenAI-compatible endpoints

日本語の概要は準備中です。原文の説明を表示しています。

Official OpenAI SDK patterns for TypeScript/Node.js — client setup, Chat Completions, Responses API, streaming, structured outputs, function calling, embeddings, vision, audio, and production best practices

日本語の概要は準備中です。原文の説明を表示しています。

Vercel AI SDK patterns - providers, text generation, streaming, structured output, tool calling, chat UI hooks, embeddings, and RAG

日本語の概要は準備中です。原文の説明を表示しています。

Local LLM inference with the Ollama JavaScript client -- chat, streaming, tool calling, vision, embeddings, structured output, model management, and OpenAI-compatible endpoint

日本語の概要は準備中です。原文の説明を表示しています。

Hugging Face Inference SDK patterns for TypeScript/Node.js — InferenceClient setup, chat completion, text generation, streaming, embeddings, image generation, audio transcription, translation, summarization, and Inference Endpoints

日本語の概要は準備中です。原文の説明を表示しています。

Edge-hosted SQLite database with libSQL driver and embedded replicas

日本語の概要は準備中です。原文の説明を表示しています。

Official TypeScript SDK for Google Gemini — client setup, text generation, multimodal input, function calling, structured output, streaming, embeddings, context caching, and chat sessions

日本語の概要は準備中です。原文の説明を表示しています。

Official Mistral AI TypeScript SDK patterns — client setup, chat completions, streaming, function calling, structured outputs, embeddings, vision, Codestral FIM, and production best practices

日本語の概要は準備中です。原文の説明を表示しています。

Identifies cryptographic algorithms embedded in a binary by scanning for well-known constants and tables (AES S-box, SHA-256/MD5 init constants, ChaCha sigma, CRC32 table, base64 alphabet). Activates for requests to identify crypto in a binary, find AES/SHA constants, or detect which encryption algorithm a sample uses.

日本語の概要は準備中です。原文の説明を表示しています。

Extracts an embedded malware configuration (C2 hosts, ports, campaign IDs, keys) from a process memory dump by locating decrypted config structures and decoding common obfuscation layers. Activates for requests to extract malware config from a memory dump, recover C2 settings from a running sample, or decode an in-memory configuration block.

日本語の概要は準備中です。原文の説明を表示しています。

Extracts structure and indicators from a Windows PE file without executing it: headers, sections, imports/exports, resources, entropy, and embedded strings to infer capability and packing. Activates for requests to statically analyze a PE, EXE, or DLL, or inspect imports and headers.

日本語の概要は準備中です。原文の説明を表示しています。

Statically analyzes Linux ELF malware: ELF header and sections, dynamic symbols and imports, segment permissions, embedded strings, and packing indicators to infer capability without execution. Activates for requests to analyze an ELF binary, Linux malware, or shared object.

日本語の概要は準備中です。原文の説明を表示しています。

Analyzes Go-compiled malware by recovering function names from the pclntab, detecting the Go build/version string, and listing embedded package paths to overcome stripped symbols. Activates for requests to analyze Go malware, recover Go function names, or identify a Golang binary build.

日本語の概要は準備中です。原文の説明を表示しています。

Analyzes loader and dropper samples by identifying staging behavior — embedded or downloaded next-stage payloads, decode/decrypt routines, and the execution mechanism used to run the next stage. Activates for requests to analyze a loader or dropper, find a staged payload, or map multi-stage delivery behavior.

日本語の概要は準備中です。原文の説明を表示しています。

Analyzes Rust-compiled malware by detecting the Rust toolchain signature, demangling Rust v0/legacy symbol names, and identifying crate dependencies from embedded paths. Activates for requests to analyze Rust malware, demangle Rust symbols, or identify a Rust binary build and its crates.

日本語の概要は準備中です。原文の説明を表示しています。

Analyzes weaponized Windows shortcut (.lnk) files: parsing the shell link structure for the target command, arguments, icon, and working directory, and recovering hidden PowerShell/cmd payloads and embedded content used in phishing. Activates for requests to analyze a malicious LNK, parse a shortcut file, or extract a command from a .lnk.

日本語の概要は準備中です。原文の説明を表示しています。

Analyzes Python-based malware packaged as PyInstaller/py2exe executables by detecting the packer, locating the embedded archive, and identifying bundled .pyc modules for extraction and decompilation. Activates for requests to analyze compiled Python malware, unpack a PyInstaller binary, or extract pyc modules from a frozen Python executable.

日本語の概要は準備中です。原文の説明を表示しています。

Guide users through `pulp upgrade` — discover new CLI releases, interpret migration notes for the hop they're performing, and apply breaking-change fixes (CMake macro renames, API surface changes, config file moves). Handles "upgrade pulp", "what's new", "migrate my project", "show breaking changes", and the `/upgrade` slash command. Pairs with the embedded migration index shipped in the CLI binary.

日本語の概要は準備中です。原文の説明を表示しています。

Build or iterate on a Pulp WebView UI using the native WebView bridge, embedded assets, directory-backed dev resources, and focused WebView validation.

日本語の概要は準備中です。原文の説明を表示しています。

Style every matplotlib figure like the Stata 18/19 default (stcolor) scheme — Arial embedded as TrueType, white background, recessive light-gray grid below the data, no top/right spines, unframed legends, and the validated blue/red/gray palette. Use whenever a task generates or restyles charts, plots, or figures for papers, reports, or slides, even if the user doesn't mention Stata — this is the house style for all publication figures. Also use when asked to make figures "look like Stata", match the stcolor scheme, or restyle existing matplotlib output.

日本語の概要は準備中です。原文の説明を表示しています。

Validate that a story file is implementation-ready. Checks for embedded GDD requirements, ADR references, engine notes, clear acceptance criteria, and no open design questions. Produces READY / NEEDS WORK / BLOCKED verdict with specific gaps. Use when user says 'is this story ready', 'can I start on this story', 'is story X ready to implement'.

日本語の概要は準備中です。原文の説明を表示しています。