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⚙ Needs: 90 days of authentication baseline data; a SIEM (Spl…

UEBA auth-anomaly detector — detect brute-force, spraying, and impossible travel

Defensive UEBA playbook for detecting anomalous authentication patterns: brute-force and password-spraying detection, impossible travel and geo-velocity, credential stuffing, token misuse, privilege abuse — with SIEM correlation, SOAR triage, and incident response checklists

At a glance
What
Defensive UEBA playbook for detecting anomalous authentication patterns: brute-force and password-spraying detection, impossible travel and geo-velocity, credential stuffing, token misuse, privilege abuse — with SIEM correlation, SOAR triage, and incident response checklists
Cost
Free
Needs
90 days of authentication baseline data; a SIEM (Splunk, Elastic, Azure Sentinel); GeoIP enrichment; Python 3.9+; this is defensive detection engineering (blue team), not offensive tooling
Install
Copy the installer prompt below into your Muse — your agent does the rest.

Version:

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Created by: @mukul975
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Install

Prerequisites: 90 days of authentication baseline data; a SIEM (Splunk, Elastic, Azure Sentinel); GeoIP enrichment; Python 3.9+; this is defensive detection engineering (blue team), not offensive tooling Install "UEBA auth-anomaly detector — detect brute-force, spraying, and impossible travel" for me. It gives my agent @mukul975's defensive UEBA playbook for authentication telemetry: detecting anomalous authentication patterns (brute-force, password spraying, credential stuffing, impossible travel/geo-velocity, token misuse, privilege abuse) with correlation rules, baseline establishment, anomaly thresholds, SIEM/SOAR integration guidance, and incident-response triage checklists. Apache-2.0 licensed. Repository: https://github.com/mukul975/anthropic-cybersecurity-skills/blob/main/skills/detecting-anomalous-authentication-patterns/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting, or anything offensive — this should be defensive detection content only). This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "detecting-anomalous-authentication-patterns". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. confirm 90 days of auth baseline data exists; wire up SIEM export (Splunk/Elastic/Sentinel) with GeoIP enrichment; tune anomaly thresholds to my environment; this is defensive detection — no attack payloads, no exploit code). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.

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Questions

How do I install a build?

Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.

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What does the ✓ next to a creator’s name mean?

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