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Agent Skill · 研究检索

conducting-malware-incident-response(进行恶意软件事件响应)

conducting-malware-incident-response 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

conducting-malware-incident-response 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 53,729。

总安装 524周安装 21GitHub Stars 5,907下载 170核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:conducting-malware-incident-response(进行恶意软件事件响应)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/conducting-malware-incident-response
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill conducting-malware-incident-response
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill conducting-malware-incident-response

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

处理恶意软件感染事件,包括 EDR 检测和用户报告。分析进程树和行为指标确定感染范围和影响。制定遏制、清除和恢复的系统化操作流程。安装前需确认权限范围和维护状态,注意是否涉及联网、命令执行或文件读写操作。

conducting-malware-incident-response 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/conducting-malware-incident-response

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

conducting-malware-incident-response 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill conducti…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

conducting-malware-incident-response 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

conducting-malware-incident-response 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

conducting-malware-incident-response 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

conducting-malware-incident-response 用的人多吗?

公开数据是累计安装 524 次,近一周安装 21 次,下载 170 次,GitHub 5,907 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

conducting-malware-incident-response 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 5,907 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
conducting-malware-incident-response

进行恶意软件事件响应 · 本页

5245,907操作浏览器未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Conducting Malware Incident Response

When to Use

  • EDR or antivirus detects malware execution on one or more endpoints
  • A user reports suspicious system behavior indicative of malware infection
  • Threat intelligence indicates a malware campaign targeting the organization's industry
  • Network monitoring detects beaconing traffic consistent with known malware C2 patterns
  • A file detonation in a sandbox returns a malicious verdict

Do not use for analyzing malware samples in a research context; use dedicated malware analysis procedures for reverse engineering.

Prerequisites

  • EDR platform with process tree visibility and host isolation capability
  • Malware sandbox environment (Cuckoo, ANY.RUN, Joe Sandbox, Hybrid Analysis)
  • Access to threat intelligence platforms for malware family identification (VirusTotal, MalwareBazaar)
  • Forensic imaging tools for evidence preservation (FTK Imager, KAPE)
  • Clean system images or gold images for endpoint rebuild
  • MITRE ATT&CK framework reference for technique mapping

Workflow

Step 1: Detect and Confirm Malware Presence

Validate the malware alert and gather initial indicators:

  • Review EDR alert details: detection name, file path, hash (SHA-256), process tree
  • Check if the detection is a known malware family or generic heuristic detection
  • Query the file hash against VirusTotal, MalwareBazaar, and internal threat intelligence
  • Examine the process execution chain to determine how the malware was delivered
Detection Summary:
File:        C:\Users\jsmith\AppData\Local\Temp\update.exe
SHA-256:     a1b2c3d4e5f6...
Detection:   CrowdStrike: Malware/Qakbot | VirusTotal: 58/72 engines
Parent:      WINWORD.EXE → cmd.exe → powershell.exe → update.exe
Delivery:    Email attachment (Invoice-Nov2025.docm)
Network:     HTTPS POST to 185.220.101[.]42:443 every 60s
Persistence: Scheduled Task "WindowsUpdate" → update.exe

Step 2: Scope the Infection

Determine how many systems are affected and the malware's propagation method:

  • Use EDR to search for the malware hash, filename, and behavioral indicators across all endpoints
  • Check for network-based spreading (SMB, WMI, PsExec, exploitation)
  • Query email gateway logs for all recipients of the delivery email
  • Search for C2 communications to the identified infrastructure from other internal hosts
  • Check for persistence mechanisms on all identified infected hosts

Step 3: Contain Infected Systems

Execute containment per the active breach containment procedures:

  • Network-isolate infected endpoints via EDR containment
  • Block malware C2 infrastructure at firewall and DNS
  • Block the malware hash in EDR prevention policy organization-wide
  • Quarantine the delivery email from all mailboxes (if email-delivered)
  • Disable compromised user accounts if credential theft is suspected

Step 4: Analyze the Malware

Perform sufficient analysis to support complete eradication:

  • Submit the sample to a sandbox for dynamic analysis (behavioral report, dropped files, network IOCs)
  • Identify all persistence mechanisms: registry keys, scheduled tasks, services, WMI subscriptions, startup folders
  • Document all file system artifacts: dropped files, modified files, created directories
  • Extract network IOCs: C2 domains, IPs, URLs, user agents, JA3/JA3S hashes
  • Map observed behaviors to MITRE ATT&CK techniques
Malware Analysis Summary - Qakbot Variant
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Initial Access:   T1566.001 - Spearphishing Attachment (.docm)
Execution:        T1059.001 - PowerShell (encoded downloader)
Persistence:      T1053.005 - Scheduled Task
Defense Evasion:  T1055.012 - Process Hollowing (explorer.exe)
C2:               T1071.001 - HTTPS with custom headers
Collection:       T1005 - Data from Local System (browser credentials)
Exfiltration:     T1041 - Exfiltration Over C2 Channel

Artifacts:
- C:\Users\*\AppData\Local\Temp\update.exe (dropper)
- C:\ProgramData\Microsoft\{GUID}\config.dll (payload)
- HKCU\Software\Microsoft\Windows\CurrentVersion\Run\{random} (backup persistence)
- Scheduled Task: "WindowsUpdate" (primary persistence)

Step 5: Eradicate the Malware

Remove all malware artifacts from every infected system:

  • Terminate malicious processes and injected threads
  • Delete malware files from all identified paths
  • Remove persistence mechanisms (scheduled tasks, registry keys, services, WMI subscriptions)
  • Clear browser credential stores if credential harvesting was confirmed
  • Run a full EDR scan to verify no artifacts remain
  • If eradication confidence is low, reimage the system from a known-clean gold image

Step 6: Recover and Validate

Restore systems to production and verify clean status:

  • Reconnect contained systems to the network in stages
  • Monitor for 72 hours for any recurrence of malware indicators
  • Force password resets for all users on infected endpoints
  • Verify that C2 traffic has completely ceased across the environment
  • Update detection rules based on newly discovered IOCs from the investigation
  • Distribute IOCs to threat intelligence sharing partners (ISAC, MISP)

Key Concepts

TermDefinition
Malware FamilyClassification of malware variants sharing code, infrastructure, or behavior patterns (e.g., Qakbot, Emotet, Cobalt Strike)
Process HollowingTechnique where malware creates a legitimate process in a suspended state, replaces its memory with malicious code, then resumes execution
BeaconPeriodic network communication from malware to its C2 server, typically with a set interval and jitter for detection evasion
DropperInitial malware component that downloads or unpacks the primary payload; often delivered via phishing
Persistence MechanismMethod used by malware to survive system reboots (registry run keys, scheduled tasks, services, WMI event subscriptions)
IOC (Indicator of Compromise)Observable artifact such as file hash, IP address, domain, or registry key that indicates malware presence

Tools & Systems

  • CrowdStrike Falcon / Microsoft Defender for Endpoint: EDR platforms for detection, containment, and threat hunting
  • ANY.RUN / Joe Sandbox: Interactive malware sandboxes for dynamic behavioral analysis
  • VirusTotal / MalwareBazaar: Malware intelligence platforms for sample identification and IOC enrichment
  • KAPE (Kroll Artifact Parser and Extractor): Forensic triage tool for rapid artifact collection from infected endpoints
  • YARA: Pattern-matching engine for creating custom malware detection rules based on observed indicators

Common Scenarios

Scenario: Emotet Loader Leading to Cobalt Strike Deployment

Context: EDR detects a macro-enabled document that spawns PowerShell, downloads an Emotet DLL, which subsequently loads a Cobalt Strike beacon. Three hosts are infected within 45 minutes.

Approach:

  1. Immediately isolate all three hosts and block C2 IPs at the perimeter
  2. Search email gateway for all recipients of the original phishing email and quarantine it
  3. Sweep all endpoints for the Emotet DLL hash and Cobalt Strike beacon indicators
  4. Analyze the Cobalt Strike beacon configuration to extract watermark, C2 profile, and staging URLs
  5. Check for credential harvesting (Mimikatz/LSASS dump) and lateral movement artifacts
  6. Eradicate all malware artifacts and reset credentials for affected users

Pitfalls:

  • Focusing only on Emotet and missing the Cobalt Strike second-stage payload
  • Failing to extract and block the Cobalt Strike Malleable C2 profile indicators
  • Not checking for additional persistence beyond the initial detection (Emotet often installs multiple backup persistence mechanisms)

Output Format

MALWARE INCIDENT RESPONSE REPORT
=================================
Incident:         INC-2025-1547
Malware Family:   Qakbot (variant: Obama265)
Delivery Vector:  Spearphishing attachment (Invoice-Nov2025.docm)
First Detection:  2025-11-15T14:23:17Z
Scope:            4 endpoints confirmed infected

INFECTION TIMELINE
14:18 UTC - Phishing email received by jsmith@corp.example.com
14:19 UTC - Macro executed in WINWORD.EXE
14:20 UTC - PowerShell downloads update.exe from staging server
14:21 UTC - update.exe establishes persistence (Scheduled Task)
14:23 UTC - C2 beacon initiated to 185.220.101[.]42
14:35 UTC - Lateral spread to WKSTN-087 via stolen credentials
14:42 UTC - EDR detection fires, SOC alerted

IOCs EXTRACTED
File Hashes:  [SHA-256 list]
C2 Domains:   [domain list]
C2 IPs:       [IP list]
File Paths:   [artifact paths]

ERADICATION STATUS
[x] All malware artifacts removed from 4 hosts
[x] Persistence mechanisms deleted
[x] C2 infrastructure blocked
[x] Compromised credentials reset
[x] Email quarantined from all mailboxes

RECOMMENDATIONS
1. Deploy YARA rule for Qakbot variant detection
2. Block macro execution in documents from external senders
3. Implement application whitelisting on finance workstations

平台分布

Codex

34.99%
按下载量换算59

Claude

31.64%
按下载量换算54

Cursor

17.91%
按下载量换算30

Gemini CLI

8.18%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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