1200KM / sigma-rule
Python One-Liners with Base64 Decoding — Sigma Rule
Sigma rule 50a0aa3d-ab16-4594-a8aa-5145a6e6792b. Python One-Liners with Base64 Decoding — Sigma Rule. Detects Python one-liners that use base64 decoding functions in command line executions. Malicious scripts or attackers often use python one-liners to decode and execute base64-encoded payloads, which is a common technique for obfuscation and evasion.
Rule metadata and linked tags
Author: Hugh Ryan (HueCodes), Swachchhanda Shrawan Poudel (Nextron Systems). Source status: experimental; severity: high. Source dates: 2026-03-09 / not supplied.
{
"category": "process_creation",
"product": "windows"
}Pinned original Sigma rule · Detection Rule License 1.1
Source SHA-256: ef5d4ce9fe75733ca8295828b0df78aab033fbbb1b70643de9af6ffc7e49dac3
Detection logic
Original source YAML. Source-tag agreement is not proof of complete semantic coverage. This rule has not been compiled for a SIEM backend or validated against live telemetry here.
title: Python One-Liners with Base64 Decoding
id: 50a0aa3d-ab16-4594-a8aa-5145a6e6792b
related:
- id: 55e862a8-dd9c-4651-807a-f21fcad56716
type: similar
status: experimental
description: |
Detects Python one-liners that use base64 decoding functions in command line executions.
Malicious scripts or attackers often use python one-liners to decode and execute base64-encoded payloads, which is a common technique for obfuscation and evasion.
references:
- https://docs.python.org/3/library/base64.html
- https://www.virustotal.com/gui/file/bc43e925d7b4b74319f6e74e836a96f1997ba404e14ac566cf12a21e9da463db/behavior
- https://cloud.google.com/blog/topics/threat-intelligence/cybercriminals-weaponize-fake-ai-websites
author: Hugh Ryan (HueCodes), Swachchhanda Shrawan Poudel (Nextron Systems)
date: 2026-03-09
tags:
- attack.execution
- attack.stealth
- attack.t1059.006
- attack.t1027.010
logsource:
category: process_creation
product: windows
detection:
selection_img:
- Image|contains: '\python'
- OriginalFileName|contains: 'python'
selection_cli:
CommandLine|contains|all:
- 'import'
- 'base64'
- ' -c'
CommandLine|contains:
- '.decode'
- 'b16decode'
- 'b32decode'
- 'b32hexdecode'
- 'b64decode'
- 'b85decode'
- 'z85decode'
condition: all of selection_*
falsepositives:
- Legitimate use of Python for decoding data, which is uncommon in typical enterprise environments but possible in development or data analysis contexts.
level: high
regression_tests_path: regression_data/rules/windows/process_creation/proc_creation_win_python_base64_encoded_execution/info.yml
False positives
- Legitimate use of Python for decoding data, which is uncommon in typical enterprise environments but possible in development or data analysis contexts.
Source references
Connected ecosystem references
Exact source-tagged techniques
Telemetry review
Read the original logsource above, then inspect the linked detection workspaces for technique-level sensor context. No per-rule telemetry equivalence is inferred.
Pinned research references. No browser attack runner, live simulation result or validated detector is asserted. Source mappings and validation limits are preserved. ATT&CK / Atomic provenance · Detection provenance.