net-capture-zeek-dnstunnel
-| | T1071.004 | Application Layer Protocol: DNS | | T1048.
- License 许可
- MIT
- 最近更新
- 2026-09-01
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- net-capture-zeek-dnstunnel
- domain
- cybersecurity
- description
- -| | T1071.004 | Application Layer Protocol: DNS | | T1048.
02 资源文件 1
- 参考文档index.json536 B
03 SKILL.md 正文
-| | T1071.004 | Application Layer Protocol: DNS | | T1048.003 | Exfiltration Over Alternative Protocol: DNS | | T1572 | Protocol Tunneling | | Shannon Entropy | Measure of randomness in subdomain strings | | Zeek dns.log | DNS query/response metadata | | RITA | Automated DNS tunneling detection from Zeek logs | | iodine | IPv4-over-DNS tunneling tool | | dnscat2 | DNS-based command-and-control tool | | DNSExfiltrator | Data exfiltration tool using DNS requests |
Detection Queries
Zeek Script -- DNS Tunnel Detection
@load base/protocols/dns
module DNSTunnel;
export {
redef enum Notice::Type += { DNSTunnel::Long_DNS_Query };
const query_length_threshold = 50 &redef;
const query_count_threshold = 100 &redef;
}
event dns_request(c: connection, msg: dns_msg, query: string, qtype: count, qclass: count) {
if ( |query| > query_length_threshold ) {
NOTICE([$note=DNSTunnel::Long_DNS_Query,
$msg=fmt("Long DNS query detected: %s (%d chars)", query, |query|),
$conn=c]);
}
}
Splunk -- DNS Tunneling Indicators from Zeek
index=zeek sourcetype=bro_dns
| rex field=query "(?<subdomain>[^.]+)\.(?<basedomain>[^.]+\.[^.]+)$"
| stats count dc(subdomain) as unique_subs avg(len(query)) as avg_len max(len(query)) as max_len by src basedomain
| where count > 100 AND (unique_subs > 50 OR avg_len > 40)
| sort -unique_subs
Splunk -- High Entropy Subdomain Detection
index=zeek sourcetype=bro_dns
| rex field=query "^(?<subdomain>[^.]+)"
| where len(subdomain) > 20
| eval char_count=len(subdomain)
| stats count dc(query) as unique_queries avg(char_count) as avg_sub_len by src query_type_name basedomain
| where unique_queries > 30 AND avg_sub_len > 25
| sort -unique_queries
RITA Analysis
rita import /path/to/zeek/logs dataset_name
rita show-dns-fqdn-ips-long dataset_name
rita show-exploded-dns dataset_name
rita show-dns-tunneling dataset_name --csv > dns_tunnel_results.csv
Common Scenarios
- dnscat2 C2: Encodes command-and-control traffic in DNS CNAME/TXT queries with Base64-encoded subdomain labels. Produces high query volumes with long, high-entropy subdomains.
- iodine IPv4 Tunnel: Creates a virtual network interface tunneling all IP traffic through DNS. Generates massive DNS query volumes with NULL record types.
- Data Exfiltration via DNS: Sensitive data encoded in subdomain labels (e.g.,
aGVsbG8gd29ybGQ.exfil.attacker.com), sent as A or TXT queries. Each query carries ~63 bytes of data. - DNS-over-HTTPS Tunneling: Bypasses traditional DNS monitoring by sending DNS queries over HTTPS to public resolvers (8.8.8.8, 1.1.1.1), requiring TLS inspection for detection.
- Cobalt Strike DNS Beacon: Uses DNS A/TXT records for C2 communication with configurable subdomain encoding schemes.
Output Format
Hunt ID: TH-DNSTUNNEL-[DATE]-[SEQ]
Source IP: [Internal IP]
Source Host: [Hostname]
Target Domain: [Base domain]
Query Count: [Total queries in window]
Unique Subdomains: [Count]
Avg Query Length: [Characters]
Max Query Length: [Characters]
Subdomain Entropy: [Bits per character]
Primary Record Type: [A/TXT/CNAME/NULL]
Data Volume Estimate: [Bytes exfiltrated]
Risk Level: [Critical/High/Medium/Low]
04 同仓库更多 Skills
services-wmi-persistence-detect
Detect WMI event subscription persistence by enumerating ActiveScriptEventConsumer, CommandLineEventConsumer, and permanent subscriptions in the WMI repository.
services-wmi-exec-exploit
Perform lateral movement across Windows networks using WMI-based remote execution techniques including Impacket wmiexec.py, CrackMapExec, and native WMI commands for stealthy post-exploitation during red team engagements.
registry-artifact-extract
Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.
processes-token-impersonate-detect
Detect Windows token impersonation and privilege abuse including SeImpersonatePrivilege exploitation via Potato attacks and token stealing techniques.
processes-thread-injection-detect
Detect Windows thread injection techniques including CreateRemoteThread, QueueUserAPC, NtCreateThreadEx, and thread hijacking via process memory analysis.
processes-hollow-technique-detect
Detect process hollowing (RunPE) by identifying processes with mismatched image paths between PEB and VAD tree, or unmapped PE headers in memory.