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THREAT-DNSTunnel-Exfil Sumo Logic CSE · Sumo

Detect DNS Tunneling for Covert Data Exfiltration in Sumo Logic CSE

DNS tunneling encodes stolen data inside the query names (and occasionally TXT/NULL record responses) of DNS lookups, exploiting the fact that DNS is almost universally permitted outbound even in tightly filtered network environments. OilRig/APT34 has repeatedly built DNS-based communication into its custom malware families, using DNS resolution as both a C2 and exfiltration channel to survive proxy and firewall egress controls. FIN7 has used DNS tunneling against point-of-sale and retail environments where HTTP(S) egress was more tightly monitored than DNS. APT41 has deployed publicly available DNS tunneling frameworks such as dnscat2 during intrusions where direct HTTP(S) exfiltration was blocked. Commodity tooling in this space — iodine, dnscat2, DNSExfiltrator, and PacketWhisper — all share the same observable signature: large volumes of DNS queries for subdomains of an attacker-controlled domain, where the subdomain label itself is a base32/base64/hex-encoded chunk of stolen data, together with an abnormal skew toward TXT/NULL/CNAME query types and elevated NXDOMAIN rates (since many tunneling implementations use non-existent subdomains purely as a data-carrying vehicle). This detection deliberately focuses on DNS query-log analytics rather than endpoint process telemetry, since it catches tunneling traffic that a purely process-based detection would miss (e.g., DNS tunneling from a compromised network appliance, or malware that resolves names via direct socket calls rather than a monitored DNS client process) and is a good complement to the process-execution-based detections already covered on the parent T1048.003 page.

MITRE ATT&CK

Tactic
Exfiltration

Sumo Detection Query

Sumo Logic CSE (Sumo)
sql
_sourceCategory="network/dns"
| json field=_raw "query", "qtype_name", "rcode_name", "id.orig_h" as query, qtype_name, rcode_name, source_ip
| where !isBlank(query)
| parse regex field=query "^(?<leftmost_label>[^.]+)\." nodrop
| eval label_len = strlen(leftmost_label)
| parse regex field=query "(?<registered_domain>[^.]+\.[^.]+)$" nodrop
| timeslice 5m
| stats count AS QueryCount, dc(query) AS UniqueSubdomains, avg(label_len) AS AvgLabelLength,
    count(eval(qtype_name in ("TXT","NULL","CNAME"))) AS TxtNullCnameCount,
    count(eval(rcode_name="NXDOMAIN")) AS NxDomainCount
  BY registered_domain, _timeslice
| where UniqueSubdomains >= 50 AND AvgLabelLength >= 30
| sort BY UniqueSubdomains desc
high severity medium confidence

Sumo Logic search implementing the DNS-tunneling fingerprint (high subdomain cardinality, long labels, elevated TXT/NULL/CNAME share, elevated NXDOMAIN rate) against DNS log sources ingested under the network/dns source category (Zeek, Infoblox, or Windows DNS analytic logs normalised to common field names).

Data Sources

Sumo Logic Cloud SIEMZeek/Bro DNS logs or Infoblox DNS logs via Sumo Logic Installed Collector

Required Tables

_sourceCategory=network/dns

False Positives & Tuning

  • CDN and telemetry-driven high-cardinality subdomain traffic — maintain a Sumo Logic lookup table of known legitimate parent domains
  • Mail security gateway bulk TXT record lookups

Other platforms for THREAT-DNSTunnel-Exfil


Testing Methodology

Validate this detection against 1 adversary technique from Atomic Red Team. Each test below lists the behaviour to exercise and the telemetry you should expect to see. Executable commands and cleanup steps are available with Pro.

  1. Test 1Simulate DNS Tunneling Data Exfiltration via iodine

    Expected signal: DNS query logs showing a burst of long, base32-encoded subdomain queries against tunnel.testdomain.example with a high proportion of NULL/TXT query types.

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