SECURITY REVIEW
Not yet assessed
Review the original instructions and requested permissions before installing.
No security review is available for this catalog entry yet.
Detects command-and-control beacons in network logs by analyzing connection timing: measuring inter-arrival intervals, accounting for jitter, and scoring regularity per source/destination pair to surface periodic callbacks. Activates for requests to hunt C2 beaconing, find periodic callbacks, or analyze connection-interval regularity.
Review the original instructions and requested permissions before installing.
No security review is available for this catalog entry yet.
How clearly the skill guides your agent, how complete its workflow is, and how you can check the outcome.
No quality assessment is available for this catalog entry yet.
Original instructions from the publisher’s SKILL.md
# Hunting C2 Beaconing with Frequency Analysis ## When to Use - You have connection logs (proxy, firewall, Zeek/`conn.log`, NetFlow) and want to find implants that call home on a schedule. - You are testing a hypothesis that a beacon is hiding in normal-looking web traffic. - You need to rank source→destination pairs by timing regularity, allowing for jitter. **Do not use** pure interval regularity as a verdict — software update checks, telemetry, and keep-alives also beacon; combine timing with destination reputation and data volume. ## Prerequisites - Connection records with timestamp, source, destination (IP/domain), and ideally bytes, over a window long enough to capture many callbacks (hours to days). - A way to enrich destinations (reputation, age, rarity) for follow-up. ## Workflow ### Step 1: Group and order by pair Bucket connections by (source, destination) and sort timestamps. Require a minimum count so the interval statistics are meaningful. ### Step 2: Compute inter-arrival intervals Derive deltas between consecutive connections per pair; the interval distribution reveals periodicity. ### Step 3: Score regularity with jitter tolerance A low coefficient of variation (std/mean) of intervals indicates a steady beacon; modern beacons add jitter, so score on tolerance rather than requiring identical intervals. ```bash python scripts/analyst.py beacon conn.json --min-events 8 ``` ### Step 4: Reduce false positives Down-rank known update/telemetry destinations and CDNs; up-rank rare/young domains, small fixed payload sizes, and odd ports. ### Step 5: Triage and confirm For top pairs, pull payloads/JA3, destination intel, and host context; confirm via the C2/beacon config skills and escalate. ## Validation - Top candidates show consistently spaced callbacks (low CV) over many events, not a handful. - Known-benign periodic services are filtered or explained. - Confirmed beacons corroborate with destination reputation or payload analysis. ## Pitfalls - Too few events per pair, making the interval statistics noise. - Requiring perfect periodicity and missing jittered beacons. - Ignoring data-volume regularity, a strong secondary beacon signal. ## References - See [`references/api-reference.md`](references/api-reference.md) for the beacon scorer. - ATT&CK T1071 and inter-arrival timing analysis (linked in frontmatter).