「by」の検索結果

Land a PR by monitoring conflicts, resolving them, waiting for checks, and squash-merging when green; use when asked to land, merge, or shepherd a PR to completion.

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。

Tunes noisy detections by analyzing historical alert data to quantify false-positive sources, recommend allow-list filters and threshold adjustments, and measure precision impact. Activates for requests to tune a detection, reduce false positives, or analyze alert noise and recommend filters.

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 position-independent shellcode: disassembling raw bytes at the right architecture, recognizing PEB-walk API resolution and egg hunters, and emulating execution to recover behavior and payloads. Activates for requests to analyze shellcode, disassemble raw position-independent code, or emulate a shellcode blob.

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。

Tracks adversary C2 and staging infrastructure by clustering indicators on shared attributes (TLS/JARM, certificate fields, favicon hashes, ASN, registration patterns) to find related hosts. Activates for requests to track adversary infrastructure, cluster C2 servers, or pivot on infrastructure attributes to find related hosts.

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 and unpacks packed binaries: detecting packers from section names and entropy, automatically unpacking UPX, and manually unpacking custom packers by finding the OEP and dumping. Activates for requests to unpack a packed sample, detect a packer, or recover the original binary from UPX or a custom packer.

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 YARA to classify and triage samples at scale: applying rule sets, reading matches and string offsets, tuning for false positives, and organizing rules for malware family identification. Activates for requests to scan files with YARA, apply YARA rules, or classify samples by signature.

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。

Reverse engineers malware written in less-common compiled languages (Nim, Crystal, V, Zig, D) by detecting language-specific runtime signatures, name-mangling, and runtime strings to orient analysis. Activates for requests to reverse Nim malware, identify the source language of an exotic binary, or analyze Crystal/V/Zig/D compiled samples.

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。

Turns reverse-engineering findings into durable YARA detections: selecting stable code constructs and constants over volatile strings, extracting opcode/byte patterns with wildcards, and validating rules for low false positives. Activates for requests to write a YARA rule from reversed code, create a detection signature, or convert RE findings into hunting rules.

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。

Validates detection coverage by mapping Atomic Red Team tests to ATT&CK techniques, checking which of your detections cover each tested technique, and reporting coverage gaps. Activates for requests to validate detections with atomic tests, map Atomic Red Team to coverage, or find detection gaps against tested techniques.

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。

Automates batch reverse engineering by generating Ghidra analyzeHeadless commands and post-analysis script skeletons to import, auto-analyze, and export results for many samples without the GUI. Activates for requests to script Ghidra headless analysis, batch-analyze samples with Ghidra, or generate an analyzeHeadless command and post-script.

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 symbolic execution (angr) to solve constraint-based malware problems — finding inputs that reach a target branch, recovering keys/passwords from a check routine, and brute-forcing opaque predicates — by generating a ready-to-edit angr harness. Activates for requests to use symbolic execution, solve a malware unlock check with angr, or recover an input that reaches a code path.

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 command-and-control beacons in network logs by analyzing connection timing: measuring inter-arrival intervals, accounting for jitter, and scoring regularity per source/destination pair to surface periodic callbacks. Activates for requests to hunt C2 beaconing, find periodic callbacks, or analyze connection-interval regularity.

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。

Hunts for Active Directory credential and replication attacks — DCSync, Golden/Silver Ticket, and DCShadow — by analyzing directory-service-access (4662), Kerberos TGS (4769), and logon (4624) events for replication abuse and forged-ticket anomalies. Activates for requests to hunt DCSync, detect golden/silver tickets, or find Active Directory replication abuse.

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。

Converts a successful threat hunt into a durable detection by extracting the discriminating logic, defining data sources and thresholds, and emitting a Sigma rule plus a test and tuning plan. Activates for requests to operationalize a hunt, turn a finding into a detection rule, or productionize hunt logic as a Sigma detection.

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 packing and encryption by measuring Shannon entropy across a binary's sections and regions: flagging high-entropy executable sections, entropy spikes, and size/raw-vs-virtual anomalies that indicate compression or encryption. Activates for requests to measure entropy, detect packing, or assess whether a sample is compressed/encrypted.

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。

Hunts for Kerberoasting and related ticket attacks by analyzing Kerberos service ticket request events (4769) for weak encryption types, abnormal request volume per account, and non-machine accounts requesting many SPNs. Activates for requests to hunt Kerberoasting, detect RC4 ticket requests, or find SPN-targeting credential attacks.

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。

Hunts for unusual outbound network connections by flagging direct-to-IP traffic, uncommon ports, rare destinations, high data-egress ratios, and connections from unexpected processes in network telemetry. Activates for requests to hunt unusual outbound traffic, detect suspicious egress, or find anomalous external connections.

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。

Reverse engineers ARM/AArch64 malware by identifying the architecture and instruction set state (ARM/Thumb), parsing ELF/Mach-O ARM headers, and orienting analysis around the ARM calling convention. Activates for requests to reverse ARM binaries, analyze AArch64 malware, or handle ARM/Thumb instruction-set decoding.

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。

Manually unpacks a runtime-packed Windows binary by finding the original entry point (OEP) through tail-jump and entropy analysis, then guiding a memory dump at OEP. Activates for requests to manually unpack a sample, find the OEP, or unpack a custom/unknown packer that generic tools cannot handle.

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。

Hunts for malicious WMI permanent event subscription persistence by correlating __EventFilter, CommandLineEventConsumer/ActiveScriptEventConsumer, and FilterToConsumerBinding records from Sysmon Event IDs 19/20/21 or WMI repository exports. Activates for requests to hunt WMI persistence, detect event consumer backdoors, or analyze WMI subscription telemetry.

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。

Hunts for malicious scheduled task persistence by analyzing task registration events (4698) and schtasks process creation for suspicious actions, triggers, and hidden tasks. Activates for requests to hunt scheduled task abuse, detect malicious schtasks usage, or find persistence via the Task Scheduler.

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。

Hunts malicious PowerShell using script-block (EID 4104) and module logging: scoring encoded commands, download cradles, AMSI/logging bypass, and in-memory execution, then decoding payloads for triage. Activates for requests to hunt malicious PowerShell, analyze script-block logs, or detect encoded command abuse.

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。

Maps hunts and detections to MITRE ATT&CK for coverage analysis: tagging hypotheses with techniques, building a coverage matrix from completed hunts, and identifying high-risk gaps to prioritize next. Activates for requests to map hunts to ATT&CK, build a coverage heatmap, or find detection gaps by technique.

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。