「hex」の検索結果

Captures and analyzes malware network traffic from a detonation: extracting C2 endpoints, HTTP/DNS patterns, TLS metadata (JA3/SNI), and beaconing from a PCAP to build network IOCs and detection. Activates for requests to analyze malware PCAP, extract C2 from traffic, or study network 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。

Collects volatile evidence from a potentially compromised host in correct order of volatility: memory, network state, running processes, logged-on users, and open handles, while preserving integrity and minimizing footprint. Activates for requests to collect volatile evidence, perform live response, or capture host state before shutdown.

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。

Uses x64dbg to dynamically debug Windows malware: setting strategic breakpoints on APIs, stepping through unpacking and decryption, dumping memory at the right moment, and manipulating execution to reach hidden code. Activates for requests to debug malware with x64dbg, set API breakpoints, or step through unpacking in a debugger.

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。

Decrypts statically embedded malware configuration blobs by trying common schemes (single-byte and multi-byte XOR, RC4, base64 layers) and scoring decoded output for config-like content. Activates for requests to decrypt an embedded config, recover hardcoded settings from a blob, or brute-force a configuration encryption scheme.

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。

Prepares indicators of compromise for safe sharing: defanging URLs, domains, IPs, and emails so they cannot be accidentally clicked or resolved, and formatting them into STIX/CSV/MISP-friendly output. Activates for requests to defang IOCs, sanitize indicators for a report, or export indicators for sharing.

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。

Defeats control-flow-flattening obfuscation by identifying the dispatcher/state- variable structure and reconstructing the original control flow so the logic becomes readable. Activates for requests to defeat control-flow flattening, deobfuscate an OLLVM-flattened function, or recover original control flow from a dispatcher loop.

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。

Recovers obfuscated strings and resolves dynamically loaded APIs in malware: reversing XOR/stack-string/encoding schemes and mapping API-hash lookups back to function names. Activates for requests to deobfuscate strings, decode stack strings, or resolve API hashing in a 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。

Deobfuscates malicious JavaScript from droppers, web pages, and HTA/scriptlets: unrolling string-array and char-code encodings, resolving eval/Function chains, and statically recovering payloads and URLs without executing untrusted code. Activates for requests to deobfuscate JavaScript, decode obfuscated JS, or analyze a malicious script dropper.

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。

Deobfuscates malicious PowerShell by decoding -EncodedCommand, reversing string and format obfuscation, resolving base64/gzip/IEX layers, and recovering the final payload and IOCs. Activates for requests to deobfuscate, decode, or analyze obfuscated PowerShell commands or scripts.

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。

Detects process injection in a memory image by identifying private executable regions with no file backing, RWX protections, and modified entry points using Volatility 3 malfind-style analysis. Activates for requests to detect process injection, find injected code in memory, or triage suspicious executable regions in a memory image.

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。

Detects sandbox and analysis evasion techniques in a sample by scanning static strings, imports, and API traces for VM artifact checks, timing/sleep stalls, anti-debug calls, and environment fingerprinting. Activates for requests to detect sandbox evasion, find anti-VM or anti-debug checks, or explain why a sample did not detonate.

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。

Compares two related malware samples to surface what changed between variants using section-level hashing, import-set differences, and fuzzy similarity scoring. Activates for requests to diff two samples, compare malware variants, or measure similarity between two binaries for variant tracking.

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 bootkit and rootkit samples by identifying boot-process tampering (MBR/VBR/ UEFI), kernel-mode components, and stealth hooking techniques from static indicators. Activates for requests to analyze a bootkit or rootkit, examine MBR/UEFI tampering, or identify kernel-mode stealth components.

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。

Rebuilds a usable PE file from a memory dump by fixing the section alignment (virtual-to-raw), correcting the entry point, and preparing for import table reconstruction. Activates for requests to rebuild a dumped PE, fix a memory-dumped executable, or convert a process dump into an analyzable file.

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。

Clean/hexagonal architecture: dependency rules, ports and adapters, layering, and testable boundaries. Use when structuring applications for maintainability and testability.

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。

I Ching (易經) expert covering hexagram interpretation, traditional wisdom, and consultation methods

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。

Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.

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。

Search for raw byte patterns (hex sequences, opcodes) in binary code. Use when looking for specific instruction sequences, machine code patterns, UEFI SMI handlers, or known vulnerability signatures by their byte representation.

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。

Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.

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。

Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.

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。

Domain-Driven Design system for software development. Use when designing new systems with DDD principles, refactoring existing codebases toward DDD, generating code scaffolding (entities, aggregates, repositories, domain events), facilitating Event Storming sessions, creating bounded context maps, or performing code reviews with a DDD lens. Covers both strategic design (bounded contexts, subdomains, context maps, ubiquitous language) and tactical design (entities, value objects, aggregates, domain services, repositories). Supports all major architecture patterns (Hexagonal/Ports & Adapters, CQRS, Event Sourcing, Clean Architecture) with language-agnostic guidance and concrete examples in Python and TypeScript.

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。

Domine padrões comprovados de arquitetura backend incluindo Clean Architecture, Hexagonal Architecture e Domain-Driven Design para construir sistemas mantíveis, testáveis e escaláveis.

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。

Deploy and use the Exasol Text AI Extension (TXAIE) with notebook-connector. Covers `deploy_license`, `initialize_text_ai_extension`, the `PYTHON3_TXAIE` language container, the Extraction API classes `StandardExtractor`, `NamedEntityExtractor`, `TopicClassifierExtractor`, `PipelineExtractor`, and `BranchExtractor`, named-entity, zero-shot classification, and feature extraction runs, default-model installation, and result-table querying such as `TXAIE_AUDIT_LOG`.

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。

Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.

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。