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https://github.com/Security-Onion-Solutions/securityonion.git
synced 2025-12-06 17:22:49 +01:00
Flake8 linting + isInJson tail recursion update
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@@ -25,18 +25,18 @@ def sendReq(meta, query):
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return response.json()
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def isInJson(data, target_string, maxdepth):
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def isInJson(data, target_string, maxdepth=1000, tail=0):
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# searches a JSON object for an occurance of a string
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# recursively.
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# depth limiter (arbitrary value of 1000)
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if maxdepth > 1000:
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# depth limiter (arbitrary default value of 1000)
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if tail > maxdepth:
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return False
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if isinstance(data, dict):
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for key, value in data.items():
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if isinstance(value, (dict, list)):
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# recursive call
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if isInJson(value, target_string, maxdepth + 1):
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if isInJson(value, target_string, maxdepth, tail + 1):
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return True
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elif isinstance(value, str) and target_string in value.lower():
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# found target string
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@@ -46,7 +46,7 @@ def isInJson(data, target_string, maxdepth):
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for item in data:
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if isinstance(item, (dict, list)):
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# recursive call
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if isInJson(item, target_string, maxdepth + 1):
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if isInJson(item, target_string, maxdepth, tail + 1):
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return True
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elif isinstance(item, str) and target_string in item.lower():
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# found target string
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@@ -56,7 +56,8 @@ def isInJson(data, target_string, maxdepth):
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def prepareResults(raw):
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# parse raw API response, gauge threat level and return status and a short summary
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# parse raw API response, gauge threat level
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# and return status and a short summary
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if raw == {}:
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status = 'caution'
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summary = 'internal_failure'
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@@ -72,7 +73,8 @@ def prepareResults(raw):
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elif 'YOROI_YOMI' in vendor_data:
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summary = vendor_data['YOROI_YOMI']['detection']
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# gauge vendors to determine an approximation of status, normalized to a value out of 100
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# gauge vendors to determine an approximation of status,
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# normalized to a value out of 100
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# only updates score if it finds a higher indicator value
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score = 0
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vendor_info_list = [
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@@ -81,8 +83,10 @@ def prepareResults(raw):
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('DocGuard', 'alertlevel', lambda x: int(x) * 10),
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('YOROI_YOMI', 'score', lambda x: int(float(x)) * 100),
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('Inquest', 'verdict', lambda x: 100 if x == 'MALICIOUS' else 0),
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('ReversingLabs', 'status', lambda x: 100 if x == 'MALICIOUS' else 0),
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('Spamhaus_HBL', 'detection', lambda x: 100 if x == 'MALICIOUS' else 0),
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('ReversingLabs', 'status',
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lambda x: 100 if x == 'MALICIOUS' else 0),
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('Spamhaus_HBL', 'detection',
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lambda x: 100 if x == 'MALICIOUS' else 0),
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]
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for vendor, key, transform in vendor_info_list:
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if vendor in vendor_data and key in vendor_data[vendor]:
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@@ -116,14 +120,17 @@ def analyze(input):
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meta = helpers.loadMetadata(__file__)
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helpers.checkSupportedType(meta, data["artifactType"])
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if (data['artifactType'] == 'tlsh' or data['artifactType'] == 'gimphash' or data['artifactType'] == 'telfhash'):
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# To get accurate reporting for TLSH, telfhash and gimphash, we deem it necessary to query
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if (data['artifactType'] == 'tlsh' or data['artifactType'] == 'gimphash'
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or data['artifactType'] == 'telfhash'):
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# To get accurate reporting for TLSH, telfhash and gimphash,
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# we deem it necessary to query
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# twice for the sake of retrieving more specific data.
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initialQuery = buildReq(data['artifactType'], data['value'])
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initialRaw = sendReq(meta, initialQuery)
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# To prevent double-querying when a tlsh/gimphash is invalid, this if statement is necessary.
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# To prevent double-querying when a tlsh/gimphash is invalid,
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# this if statement is necessary.
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if initialRaw['query_status'] == 'ok':
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# Setting artifactType and value to our new re-query arguments
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# to get a more detailed report.
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