incident-response

事件响应

通过结构化的响应流程，有效处理安全事件。

何时使用此技能

在以下情况下使用此技能：

• 响应正在发生的安全事件（数据泄露、恶意软件、未授权访问）
• 制定事件响应操作手册和运行手册
• 开展 IR 桌面演练和实战演习
• 建立证据收集和取证能力
• 制定安全事件的沟通协议
• 开展事后复盘并改进流程

前提条件

• IR 团队名单，包含值班轮换和升级路径
• 安全的沟通渠道（与生产系统隔离）
• 已安装分析工具的取证工作站
• 具备证据保管链管控的证据存储空间
• 法律顾问的联系信息
• 已记录并预先授权的事件响应操作

事件响应阶段

phases:
  1_preparation:
    - IR team roster and 24/7 contact info
    - Tools and privileged access ready
    - Playbooks documented and tested
    - Evidence collection kit prepared
    - Communication templates drafted

  2_detection:
    - Alert triage and validation
    - Initial assessment and scoping
    - Severity classification
    - Incident ticket creation

  3_containment:
    - Short-term containment (stop bleeding)
    - Evidence preservation (before changes)
    - System isolation (network/host level)
    - Credential rotation if needed

  4_eradication:
    - Root cause analysis
    - Remove threat actor access
    - Patch exploited vulnerabilities
    - Clean compromised systems

  5_recovery:
    - System restoration from clean backups
    - Enhanced monitoring deployment
    - Phased return to production
    - Business continuity verification

  6_lessons_learned:
    - Post-incident review (within 72 hours)
    - Timeline reconstruction
    - Documentation update
    - Process and detection improvements

严重程度分类

级别	影响	响应时间	示例
严重（P1）	正在发生的数据泄露、全面服务中断、勒索软件	立即（< 15 分钟）	正在进行的数据外泄、勒索软件扩散
高（P2）	服务降级、可能发生数据泄露	< 1 小时	未授权的管理员访问、检测到恶意软件
中（P3）	影响有限，已得到控制	< 4 小时	网络钓鱼导致的账户失陷（单个用户）、违反策略
低（P4）	影响极小	下一个工作日	暴力破解失败、扫描活动已被阻止

证据收集脚本

Linux 证据收集

#!/bin/bash
# linux-evidence-collect.sh - Collect forensic evidence from a Linux host
# Run with sudo. Preserves evidence with timestamps and hashes.

set -euo pipefail

EVIDENCE_DIR="/evidence/$(hostname)-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$EVIDENCE_DIR"
LOGFILE="$EVIDENCE_DIR/collection.log"

log() { echo "[$(date -u +%Y-%m-%dT%H:%M:%SZ)] $*" | tee -a "$LOGFILE"; }

log "Starting evidence collection on $(hostname)"
log "Collector: $(whoami)"
log "System time: $(date -u)"

# System information
log "Collecting system information..."
uname -a > "$EVIDENCE_DIR/uname.txt"
cat /etc/os-release > "$EVIDENCE_DIR/os-release.txt"
uptime > "$EVIDENCE_DIR/uptime.txt"
date -u > "$EVIDENCE_DIR/system-time.txt"

# Running processes (full command line)
log "Collecting process list..."
ps auxwwf > "$EVIDENCE_DIR/processes.txt"
ps -eo pid,ppid,user,args --sort=-pcpu > "$EVIDENCE_DIR/processes-by-cpu.txt"

# Network connections
log "Collecting network state..."
ss -tulnp > "$EVIDENCE_DIR/listening-ports.txt"
ss -anp > "$EVIDENCE_DIR/all-connections.txt"
ip addr show > "$EVIDENCE_DIR/ip-addresses.txt"
ip route show > "$EVIDENCE_DIR/routes.txt"
iptables -L -n -v > "$EVIDENCE_DIR/iptables.txt" 2>&1 || true
cat /etc/resolv.conf > "$EVIDENCE_DIR/dns-config.txt"

# User activity
log "Collecting user activity..."
last -a > "$EVIDENCE_DIR/login-history.txt"
lastb > "$EVIDENCE_DIR/failed-logins.txt" 2>&1 || true
who > "$EVIDENCE_DIR/currently-logged-in.txt"
w > "$EVIDENCE_DIR/user-activity.txt"
cat /etc/passwd > "$EVIDENCE_DIR/passwd.txt"
cat /etc/shadow > "$EVIDENCE_DIR/shadow.txt" 2>/dev/null || true
cat /etc/group > "$EVIDENCE_DIR/group.txt"

# Scheduled tasks
log "Collecting scheduled tasks..."
for user in $(cut -f1 -d: /etc/passwd); do
  crontab -u "$user" -l 2>/dev/null >> "$EVIDENCE_DIR/crontabs.txt" && \
    echo "--- $user ---" >> "$EVIDENCE_DIR/crontabs.txt"
done
ls -la /etc/cron.* > "$EVIDENCE_DIR/cron-dirs.txt" 2>&1

# File system state
log "Collecting filesystem state..."
find /tmp /var/tmp /dev/shm -type f -ls > "$EVIDENCE_DIR/temp-files.txt" 2>/dev/null
find / -name "*.sh" -mtime -7 -ls > "$EVIDENCE_DIR/recent-scripts.txt" 2>/dev/null
find / -perm -4000 -type f -ls > "$EVIDENCE_DIR/suid-files.txt" 2>/dev/null
find /home -name ".*history" -ls > "$EVIDENCE_DIR/history-files.txt" 2>/dev/null

# Loaded kernel modules
log "Collecting kernel modules..."
lsmod > "$EVIDENCE_DIR/kernel-modules.txt"

# Open files
log "Collecting open files..."
lsof -n > "$EVIDENCE_DIR/open-files.txt" 2>/dev/null

# Systemd services
log "Collecting service state..."
systemctl list-units --type=service --all > "$EVIDENCE_DIR/services.txt"
systemctl list-timers --all > "$EVIDENCE_DIR/timers.txt"

# Log preservation
log "Preserving system logs..."
tar czf "$EVIDENCE_DIR/var-log.tar.gz" /var/log/ 2>/dev/null

# Docker containers (if present)
if command -v docker &>/dev/null; then
  log "Collecting Docker state..."
  docker ps -a > "$EVIDENCE_DIR/docker-containers.txt"
  docker images > "$EVIDENCE_DIR/docker-images.txt"
  docker network ls > "$EVIDENCE_DIR/docker-networks.txt"
fi

# Kubernetes (if kubectl available)
if command -v kubectl &>/dev/null; then
  log "Collecting Kubernetes state..."
  kubectl get pods --all-namespaces > "$EVIDENCE_DIR/k8s-pods.txt" 2>/dev/null
  kubectl get events --all-namespaces --sort-by=.lastTimestamp > "$EVIDENCE_DIR/k8s-events.txt" 2>/dev/null
fi

# Hash all evidence files
log "Computing evidence hashes..."
find "$EVIDENCE_DIR" -type f ! -name "checksums.sha256" -exec sha256sum {} \; > "$EVIDENCE_DIR/checksums.sha256"

log "Evidence collection complete: $EVIDENCE_DIR"
echo "Total files collected: $(find "$EVIDENCE_DIR" -type f | wc -l)"

内存获取

#!/bin/bash
# memory-capture.sh - Capture volatile memory for forensic analysis

EVIDENCE_DIR="/evidence/memory-$(hostname)-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$EVIDENCE_DIR"

# Using LiME (Linux Memory Extractor)
if [ -f /lib/modules/$(uname -r)/extra/lime.ko ]; then
  insmod /lib/modules/$(uname -r)/extra/lime.ko "path=$EVIDENCE_DIR/memory.lime format=lime"
  echo "Memory captured with LiME"
fi

# Alternative: /proc/kcore (partial, but always available)
cp /proc/kcore "$EVIDENCE_DIR/kcore" 2>/dev/null

# Capture /proc/meminfo for context
cat /proc/meminfo > "$EVIDENCE_DIR/meminfo.txt"

# Hash the memory dump
sha256sum "$EVIDENCE_DIR"/* > "$EVIDENCE_DIR/checksums.sha256"

AWS 证据收集

#!/bin/bash
# aws-evidence-collect.sh - Collect evidence from compromised AWS resources

INCIDENT_ID="${1:?Usage: $0 <incident-id>}"
INSTANCE_ID="${2:?Usage: $0 <incident-id> <instance-id>}"
EVIDENCE_BUCKET="s3://incident-evidence-${AWS_ACCOUNT_ID}"
EVIDENCE_PREFIX="${INCIDENT_ID}/$(date +%Y%m%d-%H%M%S)"

echo "=== AWS Evidence Collection ==="
echo "Incident: $INCIDENT_ID"
echo "Instance: $INSTANCE_ID"

# Snapshot EBS volumes
echo "Creating EBS snapshots..."
VOLUMES=$(aws ec2 describe-volumes \
  --filters "Name=attachment.instance-id,Values=${INSTANCE_ID}" \
  --query 'Volumes[].VolumeId' --output text)

for vol in $VOLUMES; do
  SNAP_ID=$(aws ec2 create-snapshot \
    --volume-id "$vol" \
    --description "IR Evidence - ${INCIDENT_ID} - ${vol}" \
    --tag-specifications "ResourceType=snapshot,Tags=[{Key=IncidentId,Value=${INCIDENT_ID}},{Key=Purpose,Value=forensic-evidence}]" \
    --query 'SnapshotId' --output text)
  echo "  Snapshot created: $SNAP_ID for volume $vol"
done

# Capture instance metadata
echo "Capturing instance metadata..."
aws ec2 describe-instances --instance-ids "$INSTANCE_ID" \
  > "/tmp/${INCIDENT_ID}-instance-describe.json"
aws s3 cp "/tmp/${INCIDENT_ID}-instance-describe.json" \
  "${EVIDENCE_BUCKET}/${EVIDENCE_PREFIX}/instance-describe.json"

# Capture security group rules
SG_IDS=$(aws ec2 describe-instances --instance-ids "$INSTANCE_ID" \
  --query 'Reservations[].Instances[].SecurityGroups[].GroupId' --output text)
for sg in $SG_IDS; do
  aws ec2 describe-security-group-rules --filters "Name=group-id,Values=${sg}" \
    > "/tmp/${INCIDENT_ID}-sg-${sg}.json"
  aws s3 cp "/tmp/${INCIDENT_ID}-sg-${sg}.json" \
    "${EVIDENCE_BUCKET}/${EVIDENCE_PREFIX}/sg-${sg}.json"
done

# Collect CloudTrail events for the instance
echo "Collecting CloudTrail events..."
aws cloudtrail lookup-events \
  --lookup-attributes "AttributeKey=ResourceName,AttributeValue=${INSTANCE_ID}" \
  --start-time "$(date -d '7 days ago' -u +%Y-%m-%dT%H:%M:%SZ)" \
  > "/tmp/${INCIDENT_ID}-cloudtrail.json"
aws s3 cp "/tmp/${INCIDENT_ID}-cloudtrail.json" \
  "${EVIDENCE_BUCKET}/${EVIDENCE_PREFIX}/cloudtrail.json"

# Collect VPC flow logs
echo "Collecting VPC flow logs..."
ENI_ID=$(aws ec2 describe-instances --instance-ids "$INSTANCE_ID" \
  --query 'Reservations[].Instances[].NetworkInterfaces[0].NetworkInterfaceId' --output text)
aws ec2 describe-flow-logs --filter "Name=resource-id,Values=${ENI_ID}" \
  > "/tmp/${INCIDENT_ID}-flow-logs.json"
aws s3 cp "/tmp/${INCIDENT_ID}-flow-logs.json" \
  "${EVIDENCE_BUCKET}/${EVIDENCE_PREFIX}/flow-logs-config.json"

# Isolate the instance (move to quarantine security group)
echo "Isolating instance..."
QUARANTINE_SG=$(aws ec2 create-security-group \
  --group-name "quarantine-${INCIDENT_ID}" \
  --description "Quarantine SG for incident ${INCIDENT_ID}" \
  --vpc-id "$(aws ec2 describe-instances --instance-ids "$INSTANCE_ID" \
    --query 'Reservations[].Instances[].VpcId' --output text)" \
  --query 'GroupId' --output text)

# Quarantine SG: deny all inbound, allow outbound only to evidence bucket
aws ec2 modify-instance-attribute \
  --instance-id "$INSTANCE_ID" \
  --groups "$QUARANTINE_SG"

echo "Instance isolated with quarantine SG: $QUARANTINE_SG"
echo "Evidence stored at: ${EVIDENCE_BUCKET}/${EVIDENCE_PREFIX}/"

取证命令参考

# --- Disk forensics ---
# Create forensic image of a disk
dd if=/dev/sda of=/evidence/disk.img bs=4M status=progress
sha256sum /evidence/disk.img > /evidence/disk.img.sha256

# Mount forensic image read-only
mount -o ro,loop,noexec /evidence/disk.img /mnt/forensic

# Find recently modified files
find /mnt/forensic -type f -mtime -3 -ls | sort -k11

# Find files by owner
find /mnt/forensic -user www-data -type f -newer /tmp/reference-time -ls

# --- Log analysis ---
# Search auth logs for brute force
grep "Failed password" /var/log/auth.log | awk '{print $11}' | sort | uniq -c | sort -rn | head -20

# Search for privilege escalation
grep -E "(sudo|su\[)" /var/log/auth.log | grep -v "session opened"

# Search web logs for attack patterns
grep -iE "(union.*select|<script|\.\.\/|%00)" /var/log/nginx/access.log

# Timeline analysis with find
find / -newermt "2025-01-15 00:00" ! -newermt "2025-01-16 00:00" -ls 2>/dev/null | sort -k9

# --- Network forensics ---
# Capture network traffic
tcpdump -i eth0 -w /evidence/capture.pcap -c 100000

# Analyze pcap for suspicious connections
tcpdump -r /evidence/capture.pcap -nn 'dst port 4444 or dst port 8888 or dst port 1337'

# Check for DNS tunneling
tcpdump -r /evidence/capture.pcap -nn 'udp port 53' | awk '{print $NF}' | sort | uniq -c | sort -rn | head -20

# --- Malware analysis ---
# Check file for known malware hashes
sha256sum suspicious_file
# Compare against VirusTotal: https://www.virustotal.com

# Strings analysis
strings suspicious_file | grep -iE "(http|ftp|ssh|password|key|token)"

# Check for packed/obfuscated binaries
file suspicious_file
readelf -h suspicious_file 2>/dev/null

沟通模板

初始通知（内部）

## Security Incident Notification

**Incident ID:** INC-YYYY-NNNN
**Severity:** [Critical/High/Medium/Low]
**Status:** Active - Investigating
**Time Detected:** YYYY-MM-DD HH:MM UTC
**Reported By:** [Name/System]

### Summary
[1-2 sentence description of what was detected]

### Impact Assessment
- **Systems affected:** [list]
- **Data at risk:** [type and scope]
- **Users impacted:** [count/scope]
- **Business impact:** [description]

### Current Actions
- [ ] Evidence preservation in progress
- [ ] Containment measures being applied
- [ ] IR team assembled

### Next Update
Expected at: YYYY-MM-DD HH:MM UTC

### Incident Commander
[Name] - [Contact info]

干系人更新

## Incident Update - INC-YYYY-NNNN

**Update #:** N
**Time:** YYYY-MM-DD HH:MM UTC
**Severity:** [unchanged/upgraded/downgraded]
**Status:** [Investigating/Contained/Eradicating/Recovering/Resolved]

### Progress Since Last Update
- [Bullet points of actions taken]

### Current Understanding
- **Root cause:** [Known/Under investigation]
- **Scope:** [Expanded/Unchanged/Reduced]
- **Threat actor:** [If applicable]

### Active Containment Measures
- [List of measures in place]

### Next Steps
- [Planned actions with ETA]

### Decisions Needed
- [If any decisions required from leadership]

外部数据泄露通知（如有需要）

## Notice of Data Security Incident

Dear [Customer/Partner],

We are writing to inform you of a security incident that we detected on
[date]. Upon discovery, we immediately activated our incident response
procedures and engaged external cybersecurity experts.

### What Happened
[Brief, factual description]

### What Information Was Involved
[Types of data affected]

### What We Are Doing
[Remediation steps taken and planned]

### What You Can Do
[Recommended actions for affected parties]

### Contact Information
For questions, please contact: [dedicated contact/hotline]

[Company Name]
[Date]

IR 操作手册：凭据失陷

playbook: compromised-credentials
trigger: "Alert indicating credential theft, brute force success, or credential dump"

steps:
  1_validate:
    - Confirm the alert is not a false positive
    - Identify which credentials are compromised
    - Determine scope (single user, service account, API key)

  2_contain:
    - Disable compromised accounts immediately
    - Revoke active sessions and tokens
    - Rotate API keys and service account credentials
    - Block source IP if identified
    commands:
      - "aws iam update-login-profile --user-name USER --password-reset-required"
      - "aws iam delete-access-key --user-name USER --access-key-id AKIAXXXX"
      - "aws iam deactivate-mfa-device --user-name USER --serial-number ARN"
      - "kubectl delete secret compromised-secret -n NAMESPACE"

  3_investigate:
    - Review CloudTrail/audit logs for the compromised identity
    - Identify all actions taken with compromised credentials
    - Check for persistence (new keys, roles, backdoors)
    - Determine initial compromise vector (phishing, leak, breach)

  4_eradicate:
    - Remove any backdoors or persistence mechanisms
    - Rotate all credentials that may have been exposed
    - Update access policies to enforce MFA
    - Patch credential storage if vault/secret manager was compromised

  5_recover:
    - Issue new credentials with MFA enforced
    - Restore access with least-privilege review
    - Monitor new credentials for abnormal usage

  6_improve:
    - Add detection for initial compromise vector
    - Review credential management policies
    - Update security awareness training if phishing was involved

故障排查

问题	原因	解决方案
证据收集脚本失败	权限不足	使用 sudo/root 运行；预先授权 IR 账户
无法访问失陷系统	系统被勒索软件加密	使用离线磁盘映像；从备份恢复
日志缺失或被篡改	攻击者清除了日志	检查集中式日志聚合器；从日志备份恢复
无法确定事件影响范围	日志记录不足	为后续事件启用 CloudTrail、VPC 流日志和审计日志
干系人要求立即给出答复	要求尽快解决的压力	遵循 IR 流程；定期提供更新；避免猜测
误报触发了完整的 IR 流程	检测规则过于敏感	调整告警阈值；在升级前增加验证步骤
证据完整性受到质疑	缺少证据保管链	立即对所有证据计算哈希；记录谁在何时访问了哪些内容

最佳实践

• 通过每季度开展桌面演练，提前制定并演练操作手册
• 为 IR 维护独立、安全的沟通渠道（不要使用企业基础设施上的电子邮件或 Slack）
• 在对失陷系统进行任何更改之前，务必保全证据
• 为所有收集到的证据建立保管链
• 任何潜在数据泄露发生时，尽早联系法律顾问
• 在 72 小时内开展无责事后复盘
• 根据经验教训更新检测规则和操作手册
• 预先授权常见的 IR 操作，以便响应人员及时采取行动
• 准备好 IR “应急包”，其中包含工具、凭据和文档
• 定期测试备份恢复流程（不只是测试备份创建）

相关技能

• 审计日志 - 日志分析
• 告警与值班 - 告警管理
• 安全自动化 - 自动化响应工作流
• 威胁建模 - 主动识别威胁