Skip to content

WildFire Antivirus Profile Configuration Object

Table of Contents

  1. Overview
  2. Core Methods
  3. Profile Model Attributes
  4. Exceptions
  5. Basic Configuration
  6. Usage Examples
  7. Managing Configuration Changes
  8. Error Handling
  9. Best Practices
  10. Full Script Examples
  11. Related Models

Overview

The WildfireAntivirusProfile class provides functionality to manage WildFire antivirus profiles in Palo Alto Networks' Strata Cloud Manager. This class inherits from BaseObject and provides methods for creating, retrieving, updating, and deleting profiles that define malware analysis settings, file inspection rules, and threat detection configurations.

Core Methods

Method Description Parameters Return Type
create() Creates a new profile data: Dict[str, Any] WildfireAvProfileResponseModel
get() Retrieves a profile by ID object_id: str WildfireAvProfileResponseModel
update() Updates an existing profile profile: WildfireAvProfileUpdateModel WildfireAvProfileResponseModel
delete() Deletes a profile object_id: str None
list() Lists profiles with filtering folder: str, **filters List[WildfireAvProfileResponseModel]
fetch() Gets profile by name/container name: str, folder: str WildfireAvProfileResponseModel

Profile Model Attributes

Attribute Type Required Description
name str Yes Profile name (max 63 chars)
id UUID Yes* Unique identifier (*response only)
description str No Profile description
packet_capture bool No Enable packet capture
rules List[Rule] Yes List of analysis rules
mlav_exception List[MlavException] No MLAV exception entries
threat_exception List[ThreatException] No Threat exception entries
folder str Yes** Folder location (**one container required)
snippet str Yes** Snippet location (**one container required)
device str Yes** Device location (**one container required)

Rule Attributes

Attribute Type Required Description
name str Yes Rule name
analysis Analysis No Analysis type (public/private cloud)
direction Direction Yes Traffic direction (up/down/both)
application List[str] No List of applications (default: any)
file_type List[str] No List of file types (default: any)

Exceptions

Exception HTTP Code Description
InvalidObjectError 400 Invalid profile data or format
MissingQueryParameterError 400 Missing required parameters
NameNotUniqueError 409 Profile name already exists
ObjectNotPresentError 404 Profile not found
ReferenceNotZeroError 409 Profile still referenced
AuthenticationError 401 Authentication failed
ServerError 500 Internal server error

Basic Configuration

from scm.client import Scm
from scm.config.security import WildfireAntivirusProfile
# Initialize clientclient = Scm(
client_id="your_client_id",
client_secret="your_client_secret",
tsg_id="your_tsg_id"
)
# Initialize WildFire Profile objectwildfire_profiles = WildfireAntivirusProfile(client)

Usage Examples

Creating WildFire Profiles

# Basic profile configurationbasic_profile = {
"name": "basic-profile",
"description": "Basic WildFire profile",
"folder": "Texas",
"rules": [
{
"name": "basic-rule",
"direction": "both",
"analysis": "public-cloud",
"application": ["web-browsing"],
"file_type": ["pdf", "pe"]
}
]
}
# Create basic profilebasic_profile_obj = wildfire_profiles.create(basic_profile)
# Advanced profile with exceptionsadvanced_profile = {
"name": "advanced-profile",
"description": "Advanced WildFire profile",
"folder": "Texas",
"packet_capture": True,
"rules": [
{
"name": "upload-rule",
"direction": "upload",
"analysis": "private-cloud",
"application": ["ftp", "sftp"],
"file_type": ["any"]
},
{
"name": "download-rule",
"direction": "download",
"analysis": "public-cloud",
"application": ["web-browsing"],
"file_type": ["pdf", "doc"]
}
],
"mlav_exception": [
{
"name": "exception1",
"filename": "trusted.exe",
"description": "Trusted application"
}
]
}
# Create advanced profileadvanced_profile_obj = wildfire_profiles.create(advanced_profile)

Retrieving Profiles

# Fetch by name and folderprofile = wildfire_profiles.fetch(name="basic-profile", folder="Texas")
print(f"Found profile: {profile.name}")
# Get by IDprofile_by_id = wildfire_profiles.get(profile.id)
print(f"Retrieved profile: {profile_by_id.name}")
print(f"Number of rules: {len(profile_by_id.rules)}")

Updating Profiles

# Fetch existing profileexisting_profile = wildfire_profiles.fetch(name="basic-profile", folder="Texas")
# Update attributesexisting_profile.description = "Updated profile description"
existing_profile.packet_capture = True
# Add new rulenew_rule = {
"name": "new-rule",
"direction": "both",
"analysis": "public-cloud",
"application": ["any"],
"file_type": ["any"]
}
existing_profile.rules.append(new_rule)
# Perform updateupdated_profile = wildfire_profiles.update(existing_profile)

Listing Profiles

# List with direct filter parametersfiltered_profiles = wildfire_profiles.list(
folder='Texas',
rules=['basic-rule', 'upload-rule']
)
# Process resultsfor profile in filtered_profiles:
print(f"Name: {profile.name}")
for rule in profile.rules:
print(f" Rule: {rule.name}")
print(f" Direction: {rule.direction}")
print(f" Analysis: {rule.analysis}")
# Define filter parameters as dictionarylist_params = {
"folder": "Texas",
"rules": ["download-rule"]
}
# List with filters as kwargsfiltered_profiles = wildfire_profiles.list(**list_params)

Filtering Responses

The list() method supports additional parameters to refine your query results even further. Alongside basic filters (like types, values, and tags), you can leverage the exact_match, exclude_folders, exclude_snippets, and exclude_devices parameters to control which objects are included or excluded after the initial API response is fetched.

Parameters:

  • exact_match (bool): When True, only objects defined exactly in the specified container (folder, snippet, or device) are returned.
  • exclude_folders (List[str]): Provide a list of folder names to exclude.
  • exclude_snippets (List[str]): Provide a list of snippet values to exclude.
  • exclude_devices (List[str]): Provide a list of device values to exclude.

Examples:

# Only return wildfire_antivirus defined exactly in 'Texas'exact_wildfire_antivirus = wildfire_profiles.list(
folder='Texas',
exact_match=True
)

for app in exact_wildfire_antivirus:
print(f"Exact match: {app.name} in {app.folder}")
# Exclude all wildfire_antivirus from the 'All' folderno_all_wildfire_antivirus = wildfire_profiles.list(
folder='Texas',
exclude_folders=['All']
)

for app in no_all_wildfire_antivirus:
assert app.folder != 'All'
print(f"Filtered out 'All': {app.name}")
# Exclude wildfire_antivirus that come from 'default' snippetno_default_snippet = wildfire_profiles.list(
folder='Texas',
exclude_snippets=['default']
)

for app in no_default_snippet:
assert app.snippet != 'default'
print(f"Filtered out 'default' snippet: {app.name}")
# Exclude wildfire_antivirus associated with 'DeviceA'no_deviceA = wildfire_profiles.list(
folder='Texas',
exclude_devices=['DeviceA']
)

for app in no_deviceA:
assert app.device != 'DeviceA'
print(f"Filtered out 'DeviceA': {app.name}")
# Combine exact_match with multiple exclusionscombined_filters = wildfire_profiles.list(
folder='Texas',
exact_match=True,
exclude_folders=['All'],
exclude_snippets=['default'],
exclude_devices=['DeviceA']
)

for app in combined_filters:
print(f"Combined filters result: {app.name} in {app.folder}")

Controlling Pagination with max_limit

The SDK supports pagination through the max_limit parameter, which defines how many objects are retrieved per API call. By default, max_limit is set to 2500. The API itself imposes a maximum allowed value of 5000. If you set max_limit higher than 5000, it will be capped to the API's maximum. The list() method will continue to iterate through all objects until all results have been retrieved. Adjusting max_limit can help manage retrieval performance and memory usage when working with large datasets.

# Initialize the WildfireAntivirusProfile object with a custom max_limit# This will retrieve up to 4321 objects per API call, up to the API limit of 5000.profile_client = WildfireAntivirusProfile(api_client=client, max_limit=4321)
# Now when we call list(), it will use the specified max_limit for each request# while auto-paginating through all available objects.all_profiles = profile_client.list(folder='Texas')
# 'all_profiles' contains all objects from 'Texas', fetched in chunks of up to 4321 at a time.

Deleting Profiles

# Delete by IDprofile_id = "123e4567-e89b-12d3-a456-426655440000"
wildfire_profiles.delete(profile_id)

Managing Configuration Changes

Performing Commits

# Prepare commit parameterscommit_params = {
"folders": ["Texas"],
"description": "Updated WildFire profiles",
"sync": True,
"timeout": 300 # 5 minute timeout
}
# Commit the changesresult = wildfire_profiles.commit(**commit_params)

print(f"Commit job ID: {result.job_id}")

Monitoring Jobs

# Get status of specific jobjob_status = wildfire_profiles.get_job_status(result.job_id)
print(f"Job status: {job_status.data[0].status_str}")
# List recent jobsrecent_jobs = wildfire_profiles.list_jobs(limit=10)
for job in recent_jobs.data:
print(f"Job {job.id}: {job.type_str} - {job.status_str}")

Error Handling

from scm.exceptions import (
InvalidObjectError,
MissingQueryParameterError,
NameNotUniqueError,
ObjectNotPresentError,
ReferenceNotZeroError
)

try:
# Create profile configuration
profile_config = {
"name": "test-profile",
"folder": "Texas",
"description": "Test WildFire profile",
"rules": [
{
"name": "test-rule",
"direction": "both",
"analysis": "public-cloud",
"application": ["web-browsing"],
"file_type": ["pdf", "pe"]
}
]
}

# Create the profile
new_profile = wildfire_profiles.create(profile_config)

# Commit changes
result = wildfire_profiles.commit(
folders=["Texas"],
description="Added test profile",
sync=True
)

# Check job status
status = wildfire_profiles.get_job_status(result.job_id)

except InvalidObjectError as e:
print(f"Invalid profile data: {e.message}")
except NameNotUniqueError as e:
print(f"Profile name already exists: {e.message}")
except ObjectNotPresentError as e:
print(f"Profile not found: {e.message}")
except ReferenceNotZeroError as e:
print(f"Profile still in use: {e.message}")
except MissingQueryParameterError as e:
print(f"Missing parameter: {e.message}")

Best Practices

  1. Rule Configuration

    • Use descriptive rule names
    • Start with least privileged access
    • Consider performance impact
    • Document exceptions thoroughly
    • Review file type coverage
  2. Container Management

    • Always specify exactly one container (folder, snippet, or device)
    • Use consistent container names
    • Validate container existence
    • Group related profiles
  3. Exception Handling

    • Document all exceptions
    • Review MLAV exceptions regularly
    • Monitor threat exceptions
    • Update exception documentation
    • Implement proper logging
  4. Performance

    • Minimize rule complexity
    • Use appropriate file types
    • Monitor packet capture impact
    • Implement caching
    • Consider analysis location
  5. Security

    • Follow least privilege
    • Document all changes
    • Review profile access
    • Monitor analysis results
    • Regular security reviews

Full Script Examples

Refer to the wildfire_antivirus_profile.py example.