Merge pull request #943 from Neo23x0/master

analyzers/Thunderstorm/README.md

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+### Thunderstorm
+
+The Thunderstorm analyzer submits a file sample to a local or public THOR Thunderstorm service and processes the scan result
+
+#### Requirements
+
+- [ThunderstormAPI](https://github.com/NextronSystems/thunderstormAPI)
+
+#### Scope
+
+[THOR Thunderstorm](https://www.nextron-systems.com/thor-thunderstorm/) is a web service version of the well-known scanner THOR. THOR focuses on APTs, hacking activity, traces of hacking activity and file anomalies like obfuscation techniques, suspicious PE packers or PE header anomalies.
+
+#### Matches
+
+The reports contain useful meta data and a list of matching rules. Each rule links to a related public report or states that the rules was based on internal research.
+
+The reports include a total score and sub scores defined in the matching YARA rules. 
+
+The score and level indicate the criticality of the finding.
+
+#### Access to Thunderstorm
+
+THOR Thunderstorm is a high-speed, multi-threaded, caching scan service that is licensed and installed on-premise on the Linux system of your choice. Nextron systems offers access to test systems with the FQDN thunderstorm.nextron-systems.com [on request](https://www.nextron-systems.com/get-started/).

analyzers/Thunderstorm/Thunderstorm_ScanSample.json

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+{
+  "name": "THOR_Thunderstorm_ScanSample",
+  "version": "0.3.1",
+  "author": "Florian Roth",
+  "url": "https://github.com/NextronSystems/Cortex-Analyzers",
+  "license": "AGPL-V3",
+  "description": "Submits sample to an on-premise THOR Thunderstorm web service and processes the scan result",
+  "dataTypeList": ["file"],
+  "command": "Thunderstorm/thunderstorm.py",
+  "baseConfig": "Thunderstorm",
+  "configurationItems": [
+    {
+      "name": "thunderstorm_server",
+      "description": "Thunderstorm Server",
+      "type": "string",
+      "multi": false,
+      "required": true,
+      "defaultValue": "thunderstorm.nextron-systems.com"
+    },
+    {
+      "name": "thunderstorm_port",
+      "description": "Thunderstorm Port",
+      "type": "number",
+      "multi": false,
+      "required": true,
+      "defaultValue": 8080
+    },
+    {
+      "name": "thunderstorm_source",
+      "description": "Source System",
+      "type": "string",
+      "multi": false,
+      "required": false,
+      "defaultValue": "cortex-analyzer"
+    },
+    {
+      "name": "thunderstorm_ssl",
+      "description": "Use an SSL encrypted HTTP connection",
+      "type": "boolean",
+      "multi": false,
+      "required": false,
+      "defaultValue": false
+    },
+    {
+      "name": "thunderstorm_ssl_verify",
+      "description": "Verify the SSL certificate of the remote service",
+      "type": "boolean",
+      "multi": false,
+      "required": false,
+      "defaultValue": false
+    }
+  ],
+  "registration_required": true,
+  "subscription_required": true,
+  "free_subscription": false,
+  "service_homepage": "https://www.nextron-systems.com/thor-thunderstorm/",
+  "service_logo": {"path":"assets/thor_thunderstorm_logo.png", "caption": "logo"},
+  "screenshots": [
+    {"path":"assets/THOR_Thunderstorm_ScanSample_long.png",
+      "caption":"THOR Thunderstorm long report sample"
+    },
+    {
+      "path": "assets/THOR_Thunderstorm_ScanSample_short.png",
+      "caption:":"THOR Thunderstorm short report sample"
+    },
+    {"path":"assets/THOR_Thunderstorm_ScanSample_raw.png",
+      "caption":"THOR Thunderstorm raw JSON"
+    }
+  ]
+}

analyzers/Thunderstorm/requirements.txt

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+cortexutils
+requests
+thunderstormAPI

analyzers/Thunderstorm/thunderstorm.py

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+#!/usr/bin/env python3
+# encoding: utf-8
+
+import os
+
+from thunderstormAPI.thunderstorm import ThunderstormAPI
+from cortexutils.analyzer import Analyzer
+
+
+class ThunderstormAnalyzer(Analyzer):
+
+    def __init__(self):
+        Analyzer.__init__(self)
+        self.thunderstorm_server = self.get_param('config.thunderstorm_server', None, 'THOR Thunderstorm server has not been configured')
+        self.thunderstorm_port = self.get_param('config.thunderstorm_port', 8080)
+        self.thunderstorm_source = self.get_param('config.thunderstorm_source', 'cortex-analyzer')
+        self.thunderstorm_ssl = self.get_param('config.thunderstorm_ssl', False)
+        self.thunderstorm_verify_ssl = self.get_param('config.thunderstorm_ssl_verify', False)
+
+        self.thorapi = ThunderstormAPI(
+            host=self.thunderstorm_server, 
+            port=int(self.thunderstorm_port), 
+            source=self.thunderstorm_source,
+            use_ssl=self.thunderstorm_ssl,
+            verify_ssl=self.thunderstorm_verify_ssl)
+
+    def check_response(self, response):
+        if len(response) > 0:
+            if type(response) is not list:
+                self.error('Bad response : ' + str(response))
+            results = response[0]
+        else: 
+            results = {}
+        return results
+
+    def summary(self, raw):
+        taxonomies = []
+        level = "info"
+        namespace = "THUNDERSTORM"
+        predicate = "GetScanResult"
+        value = "no matches"
+
+        result = raw
+        if len(result) > 0: 
+            # A single match automatically makes it suspicious
+            level = "suspicious"
+            # Get THOR's level 
+            thor_level = result['level']
+            # If that is 'Alert', then increase the level to malicious
+            if thor_level == "Alert":
+                level = "malicious"
+
+            # Get all matches that add a sub score to the total score
+            match_reasons = []
+            yara_matches = 0
+            other_matches = 0
+            total_score = 0
+            for match in result['matches']:
+                # Fix /tmp/ folder finding caused by Cortex file upload
+                if "suspicious apt directory" in match['reason'].lower():
+                    # ignore this match
+                    continue
+                # Add sub score to total score 
+                if 'subscore' in match: 
+                    total_score += int(match['subscore'])
+                # YARA rule match
+                if 'rulename' in match: 
+                    match_reasons.append(match['rulename'])
+                    yara_matches += 1
+                else:
+                    other_matches += 1
+
+            # Combine all rule names to a value
+            if len(match_reasons) > 0:
+                if len(match_reasons) < 4:
+                    value = ", ".join(match_reasons)
+                else:
+                    value = "[%d of different rule matches]" % len(match_reasons)
+
+            # Add match type to the result set
+            result['yara_matches'] = yara_matches
+            result['other_matches'] = other_matches
+
+        taxonomies.append(self.build_taxonomy(level, namespace, predicate, value))
+        return {"taxonomies": taxonomies}
+
+    def run(self):
+        if self.data_type == 'file':
+            data = self.get_param('file', None, 'File is missing')
+            if os.path.exists(data):
+                self.report(self.check_response(self.thorapi.scan(data)))
+            else:
+                self.error("File '%s' not found" % data)
+        else:
+            self.error('Invalid data type')
+
+
+if __name__ == '__main__':
+    ThunderstormAnalyzer().run()

analyzers/Valhalla/README.md

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+### Valhalla
+
+The Valhalla analyzer queries the Valhalla YARA rule databased and retrieves the matching YARA rules.
+
+#### Requirements
+
+- [ValhallaAPI](https://github.com/NextronSystems/valhallaAPI)
+
+#### Scope
+
+The result contains all matching YARA rules including
+
+- Nextron's rules in the [public rule repository](https://github.com/Neo23x0/signature-base/)
+- Nextron's rules sold in the form of the [YARA rule feed](https://www.nextron-systems.com/valhalla/)
+
+The result does not contain matches with YARA rules
+
+- submitted by 3rd parties into the [public rule repository](https://github.com/Neo23x0/signature-base/) due to legal restrictions
+- rules that are tagged as confidential and can therefore only be used in Nextron's scanner [THOR](https://www.nextron-systems.com/thor/)
+- rules that require external variables and can therefore only be used in Nextron's scanner [THOR](https://www.nextron-systems.com/thor/)
+
+The database contains YARA rule matches on samples submitted to Virustotal and Nextron's internal sample matching, which accounts for less than 1% of the matches within that database. The database does not contain information on samples that have not been transmitted to Virustotal.
+
+#### Matches
+
+The matches in the long report link to rule info pages that contain more information, like other matching samples, a report or public source in which the sample from which that rule was derived has been mentioned.
+
+They also include the Antivirus detection rate at the moment of the first submission to Virustotal, which gives a good indication of the overall coverage.

analyzers/Valhalla/Valhalla_GetMatches.json

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+{
+  "name": "Valhalla_GetRuleMatches",
+  "version": "0.3.1",
+  "author": "Florian Roth",
+  "url": "https://github.com/NextronSystems/Cortex-Analyzers",
+  "license": "AGPL-V3",
+  "description": "Gets matching YARA rules for a given sample SHA256 hash",
+  "dataTypeList": ["hash"],
+  "command": "Valhalla/valhalla.py",
+  "baseConfig": "Valhalla",
+  "configurationItems": [
+    {
+      "name": "key",
+      "description": "API key for Valhalla",
+      "type": "string",
+      "multi": false,
+      "required": true,
+      "defaultValue": "1111111111111111111111111111111111111111111111111111111111111111"
+    }
+  ],
+  "registration_required": false,
+  "subscription_required": false,
+  "free_subscription": false,
+  "service_homepage": "https://valhalla.nextron-systems.com",
+  "service_logo": {"path":"assets/Valhalla_logo.png", "caption": "logo"},
+  "screenshots": [
+    {"path":"assets/Valhalla_GetMatches_short.png",
+      "caption":"Valhalla Get Hashes short report sample"
+    },
+    {
+      "path": "assets/Valhalla_GetMatches_long.png",
+      "caption:":"Valhalla Get Hashes long report sample"
+    }]
+}

analyzers/Valhalla/requirements.txt

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+cortexutils
+requests
+valhallaAPI

analyzers/Valhalla/valhalla.py

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+#!/usr/bin/env python3
+# encoding: utf-8
+
+from valhallaAPI.valhalla import ValhallaAPI
+from cortexutils.analyzer import Analyzer
+
+
+class ValhallaAnalyzer(Analyzer):
+
+    def __init__(self):
+        Analyzer.__init__(self)
+        self.valhalla_key = self.get_param('config.key', None, 'Missing Valhalla API key')
+        self.polling_interval = self.get_param('config.polling_interval', 60)
+        self.v = ValhallaAPI(api_key=self.valhalla_key)
+
+    def check_response(self, response):
+        if type(response) is not dict:
+            self.error('Bad response : ' + str(response))
+        status = response.get('status', 'not set')
+        if status == 'error':
+            self.error('Query failed: %s Message: %s' % (str(status), response.get('message', 'not set')))
+        results = response
+        return results
+
+    def summary(self, raw):
+        taxonomies = []
+        level = "info"
+        namespace = "VALHALLA"
+        predicate = "GetMatches"
+        value = "not set"
+
+        # Get status and result set
+        status = raw.get('status', 'not set')
+        results = raw.get('results', [])
+
+        # Status handling
+        if status == "error":
+            status = raw.get('message', 'not set')
+            value = status
+        if status == "empty":
+            value = "no matches found"
+
+        # If a single matching YARA rule could be found, then set suspicious
+        if len(results) > 0:
+            level = "suspicious"
+
+        # Match handling
+        av_matches = []
+        avg_av_matches = 0
+        matching_rules = []
+        for match in results:
+            # Add rule to list
+            matching_rules.append(match["rulename"])
+            # Sum up all AV matches
+            if 'positives' in match:
+                if isinstance(match['positives'], int):
+                    av_matches.append(match['positives'])
+        # Calculate average AV detection rate
+        if len(av_matches) > 0:
+            avg_av_matches = sum(av_matches)/len(av_matches)
+        # If AV engines also came to the conclusion that this is malicious, then mark it as malicious
+        if avg_av_matches > 10:
+            level = "malicious"
+
+        # Compose a list of all matching YARA rules for the value field
+        if len(matching_rules) > 0:
+            value = ", ".join(matching_rules)
+
+        taxonomies.append(self.build_taxonomy(level, namespace, predicate, value))
+        return {"taxonomies": taxonomies}
+
+    def run(self):
+        if self.data_type == 'hash':
+            data = self.get_param('data', None, 'Data is missing')
+            if len(data) == 64:
+                self.report(self.check_response(self.v.get_hash_info(data)))
+            else:
+                self.report({'status': 'error', 'message': 'hash is not SHA256', 'results': []})
+        else:
+            self.error('Invalid data type')
+
+
+if __name__ == '__main__':
+    ValhallaAnalyzer().run()