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name: Python Network Traffic during Package Build
id: 03c9c504-2294-44da-8180-beefe1ca8ba8
version: 1
creation_date: '2026-07-23'
modification_date: '2026-07-23'
author: Onur Mustafa Erdogan, Splunk
status: production
type: TTP
description: |-
The following analytic detects a Python process making an outbound network connection during package installation.
Adversaries can abuse `setup.py` build scripts by leveraging `distutils`/`setuptools` command classes to execute arbitrary code,
including network beacons to third-party domains, the moment a malicious Python package is installed. This activity is significant
because it allows adversaries to establish a foothold or exfiltrate data without any direct interaction from the victim beyond
running `pip install`. If confirmed malicious, this could indicate a successful software supply chain compromise.
data_source:
- Sysmon EventID 1
- Sysmon EventID 3
search: |-
`sysmon` EventID IN (1,3)
| bin _time span=5m
| stats values(parent_process_id) as parent_process_id, values(dest_ip) as dest_ip, values(QueryName) as QueryName, values(CommandLine) as CommandLine, values(parent_process) as parent_process, dc(EventID) as EventID count by _time, host, source, process_id
| search CommandLine="*_in_process.py*" AND CommandLine="* build_wheel*" AND dest_ip!=""
| `python_network_traffic_during_package_build_filter`
how_to_implement: |-
The detection is based on data that originates from Sysmon. To implement this search, you must ingest logs
with process creation (EventID 1) and network connection (EventID 3) events, mapped via the appropriate
Splunk Technology Add-on. Use the Splunk Common Information Model (CIM) to normalize the field names.
known_false_positives: Python packages may contact software repositories, mirror sites during build time. Investigate the destination and package content to determine legitimacy.
references:
- https://blog.talosintelligence.com/the-serpents-tongue-luring-the-python-out-of-its-den/
drilldown_searches:
- name: View the detection results for - "$host$"
search: '%original_detection_search% | search host = "$host$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$host$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$host$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
finding:
title: A Python process on $host$ made an outbound network connection to $dest$ during package installation
entity:
field: host
type: system
score: 30
analytic_story:
- Malicious Python Package Installation
- Ingress Tool Transfer
- Command And Control
- Compromised Windows Host
asset_type: Endpoint
mitre_attack_id:
- T1195.002
- T1059.006
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://raw.githubusercontent.com/splunk/attack_data/refs/heads/master/datasets/attack_techniques/T1195.002/python_network_traffic/python_network_traffic.log
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
sourcetype: XmlWinEventLog
test_type: unit
Original file line number Diff line number Diff line change
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name: Python PTH File Creation during Package Installation
id: bf581b86-39cd-48b7-9312-d9affb48a8bc
version: 1
creation_date: '2026-07-23'
modification_date: '2026-07-23'
author: Onur Mustafa Erdogan, Splunk
status: production
type: TTP
description: |-
The following analytic detects the creation of a Python path configuration (`.pth`) file in conjunction
with a package installation process. Path configuration files placed under `site-packages` or `dist-packages`
are executed with every subsequent invocation of Python, allowing adversaries to achieve persistence
on the victim endpoint regardless of build method or distribution type. This technique was used by the
threat actor group TeamPCP during the supply chain compromise of the `litellm` package. If confirmed
malicious, this could result in arbitrary code execution every time Python is invoked on the compromised host.
data_source:
- Sysmon EventID 1
- Sysmon EventID 11
search: |-
`sysmon` EventID IN (1,11) AND (CommandLine="* install *" OR (TargetFilename="*.pth" AND action="created"))
| bin _time span=5m
| stats values(parent_process_id) as parent_process_id, values(TargetFilename) as TargetFilename, values(CommandLine) as CommandLine, values(parent_process) as parent_process, dc(EventID) as dc_event_id count by _time, host, source, process_id
| search dc_event_id>1
| `python_pth_file_creation_during_package_installation_filter`
how_to_implement: |-
This detection requires Sysmon event logs. Configure your environment to ingest Sysmon process creation (EventID 1)
and file creation (EventID 11) events, ensuring that file creation events are collected for files with the .pth
extension. Ingest the data via the appropriate Splunk Technology Add-on and normalize field names using the
Splunk Common Information Model (CIM).
known_false_positives: |-
Legitimate packages, such as those managing namespace packages or editable installs, may create `.pth`
files as part of normal installation. Investigate the file contents and parent process to determine legitimacy.
references:
- https://blog.talosintelligence.com/the-serpents-tongue-luring-the-python-out-of-its-den/
drilldown_searches:
- name: View the detection results for - "$host$"
search: '%original_detection_search% | search host = "$host$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$host$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$host$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
finding:
title: A Python `.pth` file called $TargetFilename$ was created on $host$ during package installation
entity:
field: host
type: system
score: 40
analytic_story:
- Malicious Python Package Installation
- Compromised Windows Host
- Windows Persistence Techniques
asset_type: Endpoint
mitre_attack_id:
- T1546
- T1195.002
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://raw.githubusercontent.com/splunk/attack_data/refs/heads/master/datasets/attack_techniques/T1546/python_pth_file_creation/python_pth_file_creation.log
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
sourcetype: XmlWinEventLog
test_type: unit
Original file line number Diff line number Diff line change
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name: Python PYTHONPATH Modification During Package Installation
id: 00f01ba4-df01-4caa-90f6-187e4563a516
version: 1
creation_date: '2026-07-23'
modification_date: '2026-07-23'
author: Onur Mustafa Erdogan, Splunk
status: production
type: TTP
description: |-
The following analytic detects modification of the PYTHONPATH environment variable in conjunction
with a package installation process. Python looks up the `sys.path` variable, which is generated
by combining user and site folders with `.pth` files and the value of the PYTHONPATH environment
variable, to determine which directories to use for importing modules. If an adversary is able to
control the value of PYTHONPATH, they can point it to an attacker-controlled directory and hijack
imported packages, achieving user-level persistence across future Python invocations and new shell
sessions. If confirmed malicious, this could result in arbitrary code execution every time Python
is invoked by the affected user.
data_source:
- Sysmon EventID 1
- Sysmon EventID 13
search: |-
`sysmon` EventID IN (1,13) AND (CommandLine="* install *" OR (TargetObject="*PYTHONPATH" AND action="modified"))
| bin _time span=5m
| stats values(parent_process_id) as parent_process_id, values(TargetObject) as TargetObject, values(registry_value_data) as registry_value_data, values(CommandLine) as CommandLine, values(parent_process) as parent_process, dc(EventID) as dc_event_id count by _time, host, source, process_id
| search dc_event_id>1
| `python_pythonpath_modification_during_package_installation_filter`
how_to_implement: |-
This detection requires Sysmon event logs. Configure your environment to ingest Sysmon process creation (EventID 1)
and registry modification (EventID 13) events, ensuring that registry modification events are collected for the
PYTHONPATH environment variable(\Environment\PYTHONPATH). Ingest the data via the appropriate Splunk Technology Add-on
and normalize field names using the Splunk Common Information Model (CIM).
known_false_positives: |-
Developers and legitimate installers may modify PYTHONPATH as part of normal environment configuration.
Investigate the new value and parent process to determine legitimacy.
references:
- https://blog.talosintelligence.com/the-serpents-tongue-luring-the-python-out-of-its-den/
drilldown_searches:
- name: View the detection results for - "$host$"
search: '%original_detection_search% | search host = "$host$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$host$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$host$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
finding:
title: The PYTHONPATH environment variable was modified on $host$ during package installation
entity:
field: host
type: system
score: 40
analytic_story:
- Malicious Python Package Installation
- Compromised Windows Host
- Windows Persistence Techniques
- Suspicious Windows Registry Activities
- Windows Registry Abuse
asset_type: Endpoint
mitre_attack_id:
- T1574.007
- T1195.002
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://raw.githubusercontent.com/splunk/attack_data/refs/heads/master/datasets/attack_techniques/T1574.007/python_pythonpath_modification/python_pythonpath_modification.log
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
sourcetype: XmlWinEventLog
test_type: unit
Original file line number Diff line number Diff line change
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name: Python Site Hooks Creation during Package Installation
id: efaf40f5-779f-4b48-a941-b7d1a7c931ed
version: 1
creation_date: '2026-07-23'
modification_date: '2026-07-23'
author: Onur Mustafa Erdogan, Splunk
status: production
type: TTP
description: |-
The following analytic detects the creation of a Python site hook file (`sitecustomize.py` or `usercustomize.py`)
within a `site-packages`/`dist-packages` directory in conjunction with a package installation process. Python's
`site` module loads these hooks from directories on `sys.path` before Python is executed. If an adversary manipulates
or plants one of these files, they can hijack the Python environment and execute their payload with every Python
invocation, achieving persistence on the victim endpoint. The VIPERTUNNEL backdoor was reported to abuse site hooks
in order to import and trigger DLL execution. If confirmed malicious, this could result in arbitrary code execution
every time Python is invoked on the compromised host.
data_source:
- Sysmon EventID 1
- Sysmon EventID 11
search: |-
`sysmon` EventID IN (1,11) AND (CommandLine="* install *" OR (TargetFilename="*-packages\*" AND action="created" AND (TargetFilename="*sitecustomize.py" OR TargetFilename="*usercustomize.py")))
| bin _time span=5m
| stats values(parent_process_id) as val_parent_process_id, values(TargetFilename) as val_target_filename, values(CommandLine) as val_cmd_line, values(parent_process) as val_parent_process, dc(EventID) as dc_event_id count by _time, host, source, process_id
| search dc_event_id>1
| `python_site_hooks_creation_during_package_installation_filter`
how_to_implement: |-
This detection requires Sysmon event logs. Configure your environment to ingest Sysmon process creation (EventID 1)
and file creation (EventID 11) events, ensuring that file creation events are collected for files with the .py
extension. Ingest the data via the appropriate Splunk Technology Add-on and normalize field names using the
Splunk Common Information Model (CIM).
known_false_positives: |-
Some legitimate tooling and environment managers create or modify `sitecustomize.py`/`usercustomize.py`
as part of normal setup. Investigate the file contents and parent process to determine legitimacy.
references:
- https://blog.talosintelligence.com/the-serpents-tongue-luring-the-python-out-of-its-den/
drilldown_searches:
- name: View the detection results for - "$host$"
search: '%original_detection_search% | search host = "$host$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$host$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$host$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
finding:
title: A Python site hook file was created on $host$ during package installation
entity:
field: host
type: system
score: 40
analytic_story:
- Malicious Python Package Installation
- Compromised Windows Host
- Windows Persistence Techniques
asset_type: Endpoint
mitre_attack_id:
- T1546
- T1195.002
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://raw.githubusercontent.com/splunk/attack_data/refs/heads/master/datasets/attack_techniques/T1546/python_site_hooks_creation/python_site_hooks_creation.log
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
sourcetype: XmlWinEventLog
test_type: unit
36 changes: 36 additions & 0 deletions stories/malicious_python_package_installation.yml
Original file line number Diff line number Diff line change
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name: Malicious Python Package Installation
id: 12e51c50-6b66-4ce7-83b8-95125ffd31e9
version: 1
creation_date: '2026-07-23'
modification_date: '2026-07-23'
author: Onur Mustafa Erdogan, Splunk
status: production
description: |-
This analytic story provides detection coverage for abuse of the Python package installation lifecycle,
including install-time code execution, persistence via `.pth` path configuration files, Python site hooks,
and PYTHONPATH environment variable manipulation.
narrative: |-
Python's popularity, readable syntax, and extensive third-party library ecosystem make it an attractive target
for threat actors seeking to compromise developer devices and infrastructure. Malicious packages and supply-chain
attacks exploit the trust built into Python's packaging ecosystem to execute payloads at the moment of installation,
without any direct interaction from the victim. Adversaries abuse several native Python features to achieve this.
`setup.py` build scripts can leverage `distutils`/`setuptools` command classes to execute arbitrary code, including
network beacons, during package installation. Path configuration files (`.pth`) placed in `site-packages`/`dist-packages`
are executed on every subsequent Python invocation, providing persistence; this technique was used by the threat actor
group TeamPCP during the supply-chain compromise of the `litellm` package. Python's `site` module also loads `sitecustomize.py`
and `usercustomize.py` hook files from directories on `sys.path`, which adversaries can plant or manipulate to hijack
the Python environment and achieve persistence, as seen with the VIPERTUNNEL backdoor. Finally, adversaries who can
modify a user's `PYTHONPATH` environment variable can redirect module imports to attacker-controlled directories,achieving
user-level persistence across new shell sessions. This story detects these behaviors by correlating process creation,
file creation, and registry modification telemetry around Python package installation activity.
references:
- https://blog.talosintelligence.com/the-serpents-tongue-luring-the-python-out-of-its-den/
category:
- Adversary Tactics
usecase: Advanced Threat Detection
threat_group:
- TeamPCP
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
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