Phoenix Studio

Convert indexed Sigma rules into analyst-ready detections.

This studio is built around Phoenix's own rule corpus, not a blank editor. Search by title or rule id, choose a live sigma-cli backend, then reveal pipelines only when you actually need them.

Indexed Rules

3,707

Ready to search

Backends

17

Live from sigconverter.io

CLI Versions

10

Newest: 2.0.2

Translation Workspace

Shape the rule before it leaves Phoenix

Tune Translation

Active Rule

Anomalous Token

Target Profile

Splunk

Splunk SPL & tstats data model queries

Format Mode

Default

Plain SPL queries

Conversion Output

Anomalous Token

Using Splunk · Default · sigma-cli 2.0.2

Translation controls

Adjust the rule on the left, then regenerate when you want a fresh backend-native query.

BackendSplunkFormatDefaultVersion2.0.2
title: Anomalous Token
id: 6555754e-5e7f-4a67-ad1c-4041c413a007
status: test
description: Indicates that there are abnormal characteristics in the token such as an unusual token lifetime or a token that is played from an unfamiliar location.
references:
    - https://learn.microsoft.com/en-us/entra/id-protection/concept-identity-protection-risks#anomalous-token
    - https://learn.microsoft.com/en-us/entra/architecture/security-operations-user-accounts#unusual-sign-ins
author: Mark Morowczynski '@markmorow'
date: 2023-08-07
tags:
    - attack.t1528
    - attack.credential-access
logsource:
    product: azure
    service: riskdetection
detection:
    selection:
        riskEventType: 'anomalousToken'
    condition: selection
falsepositives:
    - We recommend investigating the sessions flagged by this detection in the context of other sign-ins from the user.
level: high

CLI command

Copy the exact command to reproduce this translation locally.

sigma convert --without-pipeline -t splunk -f default rules/cloud/azure/identity_protection/azure_identity_protection_anomalous_token.yml