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Rare client observed with high reverse DNS lookup count - Anomaly based (ASIM DNS Solution)
Description
'This rule makes use of the series decompose anomaly method to identify clients with high reverse DNS counts. This helps in detecting the possible initial phases of an attack, like discovery and reconnaissance. It utilizes [ASIM](https://aka.ms/AboutASIM) normalization and is applied to any source that supports the ASIM DNS schema.'
- Rule type
- Scheduled
- Version
- 1.0.2
- Declared status
- Available
- Query frequency
- 1d
- Query period
- 14d
- Trigger
- gt 0
Declared MITRE coverage
KQL query
Original query, unchanged.
let threshold = 2.5;
let SearchDomain = dynamic(["in-addr.arpa"]);
let min_t = ago(14d);
let max_t = now();
let timeframe = 1d;
let DNSEvents=(stime: datetime, etime: datetime) {
_Im_Dns(starttime=stime, endtime=etime, domain_has_any=SearchDomain)
};
DNSEvents(stime=min_t, etime=max_t)
| make-series QueryCount=dcount(DnsQuery) on TimeGenerated from min_t to max_t step timeframe by SrcIpAddr
| extend (anomalies, score, baseline) = series_decompose_anomalies(QueryCount, threshold, -1, 'linefit')
| mv-expand anomalies, score, baseline, TimeGenerated, QueryCount
| extend
anomalies = toint(anomalies),
score = toint(score),
baseline = toint(baseline),
EventTime = todatetime(TimeGenerated),
Total = tolong(QueryCount)
| where EventTime >= ago(timeframe)
| where score >= threshold * 2
| join kind = inner (DNSEvents(stime=ago(timeframe), etime=max_t)
| summarize DNSQueries=make_set(DnsQuery, 1000) by SrcIpAddr)
on SrcIpAddr
| project-away SrcIpAddr1
Declared entities
Related content
Links established from declared identifiers and solution manifests.
Source provenance
GitHubDisplayed values come from files in Azure/Azure-Sentinel. They describe the published template, not your workspace configuration.
- Commit
9800e51↗- Source identifier
0fe6bde4-b215-480c-99b4-84a96edcdbd7
GSTEP / CATALOG TRACKING
Added to catalog : 16 Sept 2026 · 05:49 UTC
Last change observed : 16 Sept 2026 · 05:49 UTC