Analyzing Network Traffic With Wireshark

mukul975/Anthropic-Cybersecurity-Skills/skills/analyzing-network-traffic-with-wireshark

作者 mukul97554a798831d2266a3ca61ce68a7acb80b81160d57Apache-2.0收录于 2026年10月9日更新于 2026年10月9日

Captures and analyzes network packet data using Wireshark and tshark to identify malicious traffic patterns, diagnose protocol issues, extract artifacts, and support incident response investigations on authorized network segments.

包含脚本Security
AI 生成的概览

使用 Wireshark 和 tshark 捕获并分析网络数据包,识别恶意流量并支持事件响应调查。

功能
该技能指导在获授权的网段上使用 Wireshark 和 tshark 命令行工具进行数据包捕获与分析。内容涵盖捕获过滤器与显示过滤器、按协议深入分析、工件与 IOC 提取、统计异常检测,以及带哈希校验的证据导出以维护证据链。产出包括流量分析报告、筛选后的证据 PCAP、CSV 摘要以及提取的文件或指标。
适用场景
适用于在数据包层面调查疑似网络入侵、命令与控制流量、数据外泄或横向移动。也适合诊断重传、DNS 解析失败等网络性能问题,分析隔离主机上的恶意软件通信,以及验证防火墙或 IDS 规则。不适用于未获授权的抓包,也不能替代生产环境的 SIEM 监控。
运行要求
需要 Wireshark 4.0+ 和 tshark 命令行工具,部分任务还需 tcpdump、mergecap 和 editcap。实时抓包需要 root/sudo 权限或属于 wireshark 组,需要网络接口访问(网卡、镜像端口或分光器),以及足够的磁盘空间存放抓包文件。该技能附带一个可执行脚本和一份参考文档。

Analyzing Network Traffic with Wireshark

When to Use

  • Investigating suspected network intrusions by examining packet-level evidence of command-and-control traffic, data exfiltration, or lateral movement
  • Diagnosing network performance issues such as retransmissions, fragmentation, or DNS resolution failures
  • Analyzing malware communication patterns by capturing traffic from sandboxed or isolated hosts
  • Validating firewall and IDS rules by confirming what traffic is actually traversing network segments
  • Extracting files, credentials, or indicators of compromise from captured network sessions

Do not use to capture traffic on networks without authorization, to intercept private communications without legal authority, or as a substitute for full-featured SIEM platforms in production monitoring.

Prerequisites

  • Wireshark 4.0+ and tshark command-line utility installed
  • Root/sudo privileges or membership in the wireshark group for live packet capture
  • Network interface access (physical NIC, span port, or network tap) to the monitored segment
  • Sufficient disk space for packet capture files (estimate 1 GB per minute on busy gigabit links)
  • Familiarity with TCP/IP protocols, HTTP, DNS, TLS, and SMB at the packet level

Workflow

Step 1: Configure Capture Environment

Set up the capture interface and filters to target relevant traffic:

bash
# List available interfacestshark -D
# Start capture on eth0 with a capture filter to limit scopetshark -i eth0 -f "host 10.10.5.23 and (port 80 or port 443 or port 445)" -w /tmp/capture.pcapng
# Capture with ring buffer to manage disk usage (10 files, 100MB each)tshark -i eth0 -b filesize:102400 -b files:10 -w /tmp/rolling_capture.pcapng
# Capture on multiple interfaces simultaneouslytshark -i eth0 -i eth1 -w /tmp/multi_interface.pcapng

For Wireshark GUI, set capture filter in the Capture Options dialog before starting.

Step 2: Apply Display Filters for Targeted Analysis

bash
# Filter HTTP traffic containing suspicious user agentstshark -r capture.pcapng -Y "http.user_agent contains \"curl\" or http.user_agent contains \"Wget\""
# Find DNS queries to suspicious TLDstshark -r capture.pcapng -Y "dns.qry.name contains \".xyz\" or dns.qry.name contains \".top\" or dns.qry.name contains \".tk\""
# Identify TCP retransmissions indicating network issuestshark -r capture.pcapng -Y "tcp.analysis.retransmission"
# Filter SMB traffic for lateral movement detectiontshark -r capture.pcapng -Y "smb2.cmd == 5 or smb2.cmd == 3" -T fields -e ip.src -e ip.dst -e smb2.filename
# Find cleartext credential transmissiontshark -r capture.pcapng -Y "ftp.request.command == \"PASS\" or http.authbasic"
# Detect beaconing patterns (regular interval connections)tshark -r capture.pcapng -Y "ip.dst == 203.0.113.50" -T fields -e frame.time_relative -e ip.src -e tcp.dstport

Step 3: Protocol-Specific Deep Analysis

bash
# Follow a TCP stream to reconstruct a conversationtshark -r capture.pcapng -q -z follow,tcp,ascii,0
# Analyze HTTP request/response pairstshark -r capture.pcapng -Y "http" -T fields -e frame.time -e ip.src -e ip.dst -e http.request.method -e http.request.uri -e http.response.code
# Extract DNS query/response statisticstshark -r capture.pcapng -q -z dns,tree
# Analyze TLS handshakes for weak cipher suitestshark -r capture.pcapng -Y "tls.handshake.type == 2" -T fields -e ip.src -e ip.dst -e tls.handshake.ciphersuite
# SMB file access enumerationtshark -r capture.pcapng -Y "smb2" -T fields -e frame.time -e ip.src -e ip.dst -e smb2.filename -e smb2.cmd

Step 4: Extract Artifacts and IOCs

bash
# Export HTTP objects (files transferred over HTTP)tshark -r capture.pcapng --export-objects http,/tmp/http_objects/
# Export SMB objects (files transferred over SMB)tshark -r capture.pcapng --export-objects smb,/tmp/smb_objects/
# Extract all unique destination IPs for threat intelligence lookuptshark -r capture.pcapng -T fields -e ip.dst | sort -u > unique_dest_ips.txt
# Extract SSL/TLS certificate informationtshark -r capture.pcapng -Y "tls.handshake.type == 11" -T fields -e x509sat.uTF8String -e x509ce.dNSName
# Extract all URLs accessedtshark -r capture.pcapng -Y "http.request" -T fields -e http.host -e http.request.uri | sort -u > urls.txt
# Hash extracted files for IOC matchingfind /tmp/http_objects/ -type f -exec sha256sum {} \; > extracted_file_hashes.txt

Step 5: Statistical Analysis and Anomaly Detection

bash
# Protocol hierarchy statisticstshark -r capture.pcapng -q -z io,phs
# Conversation statistics sorted by bytestshark -r capture.pcapng -q -z conv,tcp -z conv,udp
# Identify top talkerstshark -r capture.pcapng -q -z endpoints,ip
# IO graph data (packets per second)tshark -r capture.pcapng -q -z io,stat,1,"COUNT(frame) frame"
# Detect port scanning patternstshark -r capture.pcapng -Y "tcp.flags.syn == 1 and tcp.flags.ack == 0" -T fields -e ip.src -e tcp.dstport | sort | uniq -c | sort -rn | head -20

Step 6: Generate Reports and Export Evidence

bash
# Export filtered packets to a new PCAP for evidence preservationtshark -r capture.pcapng -Y "ip.addr == 10.10.5.23 and tcp.port == 4444" -w evidence_c2_traffic.pcapng
# Generate packet summary in CSV formattshark -r capture.pcapng -T fields -E header=y -E separator=, -e frame.number -e frame.time -e ip.src -e ip.dst -e ip.proto -e tcp.srcport -e tcp.dstport -e frame.len > traffic_summary.csv
# Create PDML (XML) output for programmatic analysistshark -r capture.pcapng -T pdml > capture_analysis.xml
# Calculate capture file hash for chain of custodysha256sum capture.pcapng > capture_hash.txt

Key Concepts

TermDefinition
Capture Filter (BPF)Berkeley Packet Filter syntax applied at capture time to limit which packets are recorded, reducing file size and improving performance
Display FilterWireshark-specific filter syntax applied to already-captured packets for focused analysis without altering the capture file
PCAPNGNext-generation packet capture format supporting multiple interfaces, name resolution, annotations, and metadata in a single file
TCP StreamReassembled sequence of TCP segments representing a complete bidirectional conversation between two endpoints
Protocol DissectorWireshark module that decodes a specific protocol's fields and structure, enabling deep inspection of packet contents
IO GraphTime-series visualization of packet or byte rates over the capture duration, useful for identifying traffic spikes or beaconing

Tools & Systems

  • Wireshark 4.0+: GUI-based packet analyzer with protocol dissectors for 3,000+ protocols, stream reassembly, and export capabilities
  • tshark: Command-line version of Wireshark for headless capture, batch processing, and scripted analysis pipelines
  • tcpdump: Lightweight packet capture tool for quick captures on remote systems without GUI dependencies
  • mergecap: Wireshark utility for combining multiple capture files into a single PCAP for unified analysis
  • editcap: Wireshark utility for splitting, filtering, and converting between capture file formats

Common Scenarios

Scenario: Investigating Suspected Data Exfiltration via DNS Tunneling

Context: The SOC team detected unusually high DNS query volumes from a workstation (10.10.3.45) to an external domain. The SIEM alert flagged DNS queries averaging 200 per minute compared to the baseline of 15. A packet capture was initiated from the network tap on the workstation's VLAN.

Approach:

  1. Capture traffic from the workstation's subnet using tshark -i eth2 -f "host 10.10.3.45 and port 53" -w dns_exfil_investigation.pcapng
  2. Analyze DNS query patterns: tshark -r dns_exfil_investigation.pcapng -Y "dns.qry.name contains \"suspect-domain.xyz\"" -T fields -e frame.time -e dns.qry.name
  3. Examine subdomain labels for encoded data (long base64-like subdomains indicate tunneling): tshark -r dns_exfil_investigation.pcapng -Y "dns.qry.type == 16" -T fields -e dns.qry.name -e dns.txt
  4. Calculate data volume by summing query name lengths to estimate exfiltration bandwidth
  5. Extract unique query names and decode base64 subdomains to recover exfiltrated content
  6. Export evidence packets to a separate PCAP and generate SHA-256 hash for chain of custody

Pitfalls:

  • Capturing unfiltered traffic on a busy network and running out of disk space before collecting relevant data
  • Using display filters instead of capture filters, resulting in massive files that are slow to process
  • Overlooking encrypted DNS (DoH/DoT) traffic that bypasses traditional DNS capture on port 53
  • Failing to establish packet capture hash and chain of custody documentation for forensic evidence

Output Format

## Traffic Analysis Report
**Case ID**: IR-2024-0847**Capture File**: dns_exfil_investigation.pcapng**SHA-256**: a3f2b8c1d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1**Duration**: 2024-03-15 14:00:00 to 14:45:00 UTC**Source Interface**: eth2 (VLAN 30 span port)
### Findings
**1. DNS Tunneling Confirmed**- Source: 10.10.3.45- Destination DNS: 8.8.8.8 (forwarded to ns1.suspect-domain.xyz)- Query volume: 9,247 queries in 45 minutes (205/min vs 15/min baseline)- Average subdomain label length: 63 characters (base64-encoded data)- Estimated data exfiltrated: ~2.3 MB via TXT record responses
**2. Indicators of Compromise**- Domain: suspect-domain.xyz (registered 3 days prior)- Nameserver: ns1.suspect-domain.xyz (203.0.113.50)- Query pattern: TXT record requests with base64-encoded subdomains- Response pattern: TXT records containing base64-encoded payloads

来源与署名

来源:mukul975/Anthropic-Cybersecurity-Skills位于skills/analyzing-network-traffic-with-wireshark提交54a7988

许可证: Apache-2.0

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