aws-cloudtrail-detection-specs

Generate portable AWS CloudTrail detection specifications from a CloudTrail business baseline, normalized observations, or evidence pack. Use for alert logic covering root activity, access-key creation, IAM role/policy writes, unmanaged egress, password-policy changes, S3 bucket deletion, audit-log tamper, network exposure changes, destructive database actions, KMS grant/key changes, and baseline drift without binding to a specific SIEM.

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Repositorio: transilienceai/transilience-mdr-rainer
Última actividad en el origen: 9 de agosto de 2026 a las 21:15
Idioma detectado de SKILL.md: inglés
Estrellas: 2
Forks: 0

Opciones de instalación

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npx skills add https://github.com/transilienceai/transilience-mdr-rainer --skill aws-cloudtrail-detection-specs

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aws-remediation-leverage

Rank AWS remediations by how many attack chains each one severs, so a team gets maximum blast-radius reduction per fix. Use when you have an aws_attack_chains/v1 file from the chain enumerator and need to turn it into a prioritized "biggest bang for the buck" remediation plan - which single control fix breaks the most kill chains and techniques, a severity-weighted leverage ranking, the crown jewels and accounts each fix protects, and a greedy do-in-this-order roadmap (marginal set-cover) showing how few fixes cover most of the attack surface, and a compounding matrix (which misconfiguration enables the next) so fixing the source control cuts a chain early. Final decision-support stage of the AWS red-team attack-chain suite.

2026-08-09

aws-attack-chain-enumerator

Traverse a merged aws_attack_model/v1 attack graph and emit aws_attack_chains/v1 - ranked kill chains from an entry (internet or a single stolen credential) to crown jewels, the atomic technique catalog of attack primitives actually present, and root causes rolled up by control. Use when turning a merged AWS attack model into scored attacker kill chains, an ATT&CK-mapped technique catalog, prioritized root causes, or the input a red-team report packager renders.

2026-08-09

aws-attack-graph-builder

Merge one or more aws_attack_model/v1 envelopes from the AWS attack-surface / identity-trust / crown-jewel / active-threat collectors into a single, de-duplicated attack graph ready for chain enumeration. Use when combining multiple collector outputs into one model, reconciling nodes and edges across accounts, validating that every edge references a real node, or producing the merged attack_model.json that aws-attack-chain-enumerator traverses.

2026-08-09

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AWS CloudTrail Detection Specs

Use this skill to produce backend-neutral detection specs. The output is intended to be reviewed, then implemented in QRadar, Athena, ClickHouse, Sigma-like systems, or a custom detection engine.

Quick Start

python3 ../../skills/aws/cloudtrail/detection-specs/scripts/generate_detection_specs.py \ --baseline baseline.json \ --output cloudtrail_detection_specs.json

Detection Policy

Generate detections as portable specs with:

stable id

severity and business family

event/actor/source conditions

evidence fields to collect

suppression and exception criteria

analyst response guidance

Do not generate SIEM-specific query syntax unless the user asks for an adapter. Keep the portable spec as the source of truth.

Default Detection Families

Root ConsoleLogin or root API use

CreateAccessKey outside approved rotation roles

IAM role/policy writes from unmanaged egress

UpdateAccountPasswordPolicy outside approved pipeline/change role

S3 DeleteBucket bursts and audit/log bucket deletion

CloudTrail, Config, or FlowLogs tamper

Network exposure changes from named users

Destructive database operations

KMS key/grant changes by unusual actors

Baseline tuple drift for account/actor/event/source-IP combinations

Output

Use references/detection_spec_schema.md for exact fields. Every spec must include required_evidence; otherwise the customer cannot reproduce or defend the alert.

name

aws-cloudtrail-detection-specs

description