dynatrace/dt-sec-ioc-hunting
>- Hunt threat-intelligence indicators of compromise (IoCs) across Dynatrace logs and spans and produce a 0-100 threat-exposure score. Extracts and normalizes IoCs — IPs, Domains (hostnames included), URLs, Emails, CVEs, File hashes (md5/sha1/sha256), MITRE TTPs — from unstructured reports, advisories, advisory URLs, pasted text, or STIX, then hunts them in fetch check these indicators in my logs and traces, threat exposure report, extract IoCs from this advisory URL, search these hashes/domains/IPs in my environment. Routes CVE-to-vulnerability and IP/MITRE-to-detection legs to dt-sec-insights. compliance, THREAT_REPORT — use dt-sec-insights); general log queries not tied to an IoC hunt (use dt-obs-logs); general span/trace analysis (use dt-obs-tracing); explaining DQL syntax (use dt-dql-essentials).
npx skills add https://github.com/Dynatrace/dynatrace-for-ai --skill dt-sec-ioc-hunting
Hunt indicators of compromise (IoCs) across Dynatrace logs and spans,
and optionally correlate CVEs and attacker-IPs/MITRE techniques through
security.events (routed to dt-sec-insights). Produces matched-observable
evidence sets and an AI threat-exposure score (0–100%).
dt-dql-essentials first — it provides DQL syntax, functionreference, and query construction patterns required by all hunt templates.
adapted from the Dynatrace Threat Exposure Analysis dashboard. Do not improvise
hunt queries; modify only the IoC arrays and time window.
matchesPhrase(content, "<ioc>") clauses before using contains to populate
matched-observable columns. Do not start unscoped log hunts with raw
iAny(contains(content, allObservables[])).
matchesPhrase clauses. Split large IoC lists into smaller chunks (default 25
IoCs; 10 for long URLs/emails/hashes or after a query-length failure), run each
chunk with the same timeframe/scope, and aggregate results outside DQL. A no-match
conclusion is valid only if every chunk completes cleanly.
from:now()-15m for unanchoredhunts. Use event-anchored windows for IoCs derived from timestamped
detections/logs/events. Widen only on approval (see timeframe-gating.md).
Route them to dt-sec-insights (threat-intelligence.md).
hunt-logs.md).threat.observables.hosts field.Hostname IoCs belong in the Domains array.
answer; propose widening rather than fabricating evidence.
10. One-home-per-pattern — security.events legs (VULNERABILITY, DETECTION_FINDING,
THREAT_REPORT) are exclusively owned by dt-sec-insights. Never re-author those
queries here.
11. Unscoped hunts are valid for broad discovery — when the user has only IoCs and
no entity context, run the hunt without a scope filter. Do not silently add a namespace,
host, or service filter. FETCH_EXEC_TIME_LIMIT on an unscoped hunt is INCONCLUSIVE,
not no-match. Offer scoped follow-up only if entity context exists or the user explicitly
provides one.
12. After primary hunts, extract and re-hunt secondary observables — before scoring,
inspect every matched log or span record for additional IPs in proxy/relay headers
(X-Forwarded-For, Forwarded, X-Real-IP, True-Client-IP, CF-Connecting-IP,
Akamai-True-Client-IP, etc.) and structured fields (clientIP, src_ip, source.ip,
remote_addr). Deduplicate against already-hunted IPs and re-hunt derived IPs across
logs, spans, and detection actor.ips using the same window and scope. Do this
automatically — never wait for user prompting. See secondary-observable-extraction.md.
| IoC type | Logs | Spans (inbound + outbound) | security.events |
|---|---|---|---|
| IP | hunt-logs.md | hunt-spans.md | Detections → dt-sec-insights |
| Domain (incl. hostname) | hunt-logs.md | hunt-spans.md | — |
| URL | hunt-logs.md | hunt-spans.md | — |
| Email | hunt-logs.md | ❌ no span field | — |
| File hash (md5/sha1/sha256) | hunt-logs.md | ❌ no span field | — |
| CVE | — | — | Vulnerabilities → dt-sec-insights |
| MITRE TTP | — | — | Detections → dt-sec-insights |
> Pull IoCs FROM a THREAT_REPORT event — route to dt-sec-insights
> threat-intelligence.md § Indicators of Compromise. THREAT_REPORT is a
> security.events dataset; this skill does not query it.
| User says | Load this reference |
|---|---|
| Extract IoCs from an advisory URL / web page | ioc-intake.md (agent fetches the page; see intake note) |
| Extract IoCs from a pasted advisory / report / STIX text | ioc-intake.md |
| Hunt these IPs/domains/URLs/emails/hashes in logs | hunt-logs.md |
| Hunt these IPs/domains/URLs in spans/traces | hunt-spans.md |
| Score how exposed my environment is / threat exposure report | exposure-scoring.md |
| Cross-evidence correlation — do detection and CVE relate? | dt-sec-contextualization → correlation-and-coverage.md |
| Pod→node topology (detection on pod, CVE on node) | dt-sec-contextualization → correlation-and-coverage.md § Pod→Node Topology |
| Compliance enrichment on matched entities | dt-sec-insights → compliance.md § Entity Security-Tab View |
| A matched IoC — which threat reports mention it (actor/malware/campaign)? | dt-sec-contextualization → ioc-enrichment.md |
| Timeframe too short / should I widen the search window? | timeframe-gating.md |
| Secondary IPs in evidence (X-Forwarded-For, proxy headers, structured fields) | secondary-observable-extraction.md |
| CVEs from this report — am I vulnerable? | Route to dt-sec-insights |
| IPs from this report — any detections? | Route to dt-sec-insights |
| MITRE techniques from this report — any detections? | Route to dt-sec-insights |
| Skill | Role |
|---|---|
| dt-dql-essentials | Load first. Core DQL syntax, functions, query patterns. |
| dt-sec-insights | security.events — vulnerabilities, detections, THREAT_REPORT IoC extraction. |
| dt-sec-contextualization | Cross-evidence correlation, pod→node topology, per-entity enrichment, compliance enrichment on matched entities, and IoC→threat-report attribution (ioc-enrichment.md). Load after hunt legs complete. |
| dt-obs-logs | Generic log exploration not tied to IoC hunting. |
| dt-obs-tracing | Generic span/trace analysis not tied to IoC hunting; span field semantics. |
Take dynatrace/dt-sec-ioc-hunting from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.