Radware DefensePro
Overview
Radware is a leading provider of cybersecurity and application-delivery solutions that keep enterprise applications fast, available and secure across on-premises, cloud and hybrid environments. The platform offers real-time DDoS protection, a web application firewall, application delivery controllers, bot management and API security, all unified under centralized management with advanced analytics and automation. By combining multi-layered defenses with performance optimization, Radware enables organizations to mitigate attacks, accelerate traffic and ensure continuous service availability.
Warning
Important note - This format is currently in beta. We highly value your feedback to improve its performance.
- Vendor: Radware
- Supported environment: On-premises
- Detection based on: Telemetry
- Supported application or feature: DDoS Attack Detection, Attack Mitigation, Traffic Analysis
Specification
Prerequisites
- Resource:
- Self-managed syslog forwarder (e.g., Rsyslog, Syslog-ng)
- Network:
- Outbound traffic from DefensePro to syslog server on TCP/UDP 514 (or custom port)
- Outbound traffic from syslog server to Sekoia.io on TCP 10514
- Permissions:
- Administrator rights on Radware DefensePro to configure syslog forwarding
- Root access to the Linux server hosting the syslog forwarder
Transport Protocol/Method
- Indirect Syslog (via syslog concentrator)
Step-by-Step Configuration Procedure
Instructions on the 3rd Party Solution
Forward Radware DefensePro Logs to Sekoia.io
This setup guide will show you how to forward your Radware DefensePro logs to Sekoia.io by means of a syslog transport channel through a concentrator.
Prerequisites
Before you start:
- Connect to Sekoia.io SOC Platform with a Defend Plan
- Add an Intake to the relevant Entity
- Keep track of the automatically generated Intake key
- Have a syslog concentrator (Rsyslog or Syslog-ng) already running and configured to forward logs to Sekoia.io
Detailed Procedure
Configure Syslog on Radware DefensePro
There are two ways to configure syslog on Radware DefensePro: through the Web UI or via the APSolute Vision management portal. Choose the method that best suits your environment and preferences.
Web UI Configuration
- Log in to the Radware DefensePro management portal
- Navigate to Services > Syslog Reporting
- Choose Enable under the Syslog Operation menu
- Click on Create to add a new syslog destination server
- Fill in the required fields based on your syslog server configuration ( Syslog server, Syslog server Source Port, Syslog server destination Port and Protocol)
- Click Set to confirm the configuration
APSolute Vision Configuration
- Log in to the APSolute Vision management portal
- Navigate to Configuration > Setup > Reporting Settings > Syslog
- Enable syslog and enter the syslog server address and ports
- Select your preferred protocol (TCP or UDP)
- Click Submit to apply the configuration
Instruction on Sekoia
Configure Your Intake
This section will guide you through creating the intake object in Sekoia, which provides a unique identifier called the "Intake key." The Intake key is essential for later configuration, as it references the Community, Entity, and Parser (Intake Format) used when receiving raw events on Sekoia.
- Go to the Sekoia Intake page.
- Click on the
+ New Intakebutton at the top right of the page. - Search for your Intake by the product name in the search bar.
- Give it a Name and associate it with an Entity (and a Community if using multi-tenant mode).
- Click on
Create.
Note
For more details on how to use the Intake page and to find the Intake key you just created, refer to this documentation.
Configure a forwarder
To forward events using syslog to Sekoia.io, you need to update the syslog header with the intake key you previously created. Here is an example of your message before the forwarder
<%pri%>1 %timestamp:::date-rfc3339% %hostname% %app-name% %procid% LOG RAW_MESSAGE
<%pri%>1 %timestamp:::date-rfc3339% %hostname% %app-name% %procid% LOG [SEKOIA@53288 intake_key=\"YOUR_INTAKE_KEY\"] RAW_MESSAGE
To achieve this you can:
- Use the Sekoia.io forwarder which is the official supported way to collect data using the syslog protocol in Sekoia.io. In charge of centralizing data coming from many equipments/sources and forwarding them to Sekoia.io with the apporpriated format, it is a prepackaged option. You only have to provide your intake key as parameter.
- Use your own Syslog service instance. Maybe you already have an intance of one of these components on your side and want to reuse it in order to centralize data before forwarding them to Sekoia.io. When using this mode, you have to configure and maintain your component in order to respect the expected Sekoia.io format.
Warning
Only the Sekoia.io forwarder is officially supported. Other options are documented for reference purposes but do not have official support.
Raw Events Samples
In this section, you will find examples of raw logs as generated natively by the source. These examples are provided to help integrators understand the data format before ingestion into Sekoia.io. It is crucial for setting up the correct parsing stages and ensuring that all relevant information is captured.
20-03-2025 07:49:10 WARNING 1282 ErtFeed "ERT Active Attacker: ERT;SCN" TCP 1.2.3.4 56789 5.6.7.8 8080 1 Regular "test4" occur 1 0 2605 0 N/A high drop FFFFFFFF-0000-4567-8989-012345678901
01-08-2025 12:55:01 INFO BDoS baseline learning is being suppressed now on inbound IPv4 traffic for policy "test".
01-07-2025 10:49:12 INFO User jdoe logged in via ssh 1.2.3.4
Detection section
The following section provides information for those who wish to learn more about the detection capabilities enabled by collecting this intake. It includes details about the built-in rule catalog, event categories, and ECS fields extracted from raw events. This is essential for users aiming to create custom detection rules, perform hunting activities, or pivot in the events page.
Related Built-in Rules
The following Sekoia.io built-in rules match the intake Radware DefensePro [Beta]. This documentation is updated automatically and is based solely on the fields used by the intake which are checked against our rules. This means that some rules will be listed but might not be relevant with the intake.
SEKOIA.IO x Radware DefensePro [Beta] on ATT&CK Navigator
Account Added To A Security Enabled Group
Detection in order to investigate who has added a specific Domain User in Domain Admins or Group Policy Creator Owners (Security event 4728)
- Effort: master
Account Removed From A Security Enabled Group
Detection in order to investigate who has removed a specific Domain User in Domain Admins or Group Policy Creator Owners (Security event 4729)
- Effort: master
Computer Account Deleted
Detects computer account deletion.
- Effort: master
Cryptomining
Detection of domain names potentially related to cryptomining activities.
- Effort: master
Domain Trust Created Or Removed
A trust was created or removed to a domain. An attacker could perform that in order to do lateral movement easily between domains or shutdown the ability of two domains to communicate.
- Effort: advanced
Dynamic DNS Contacted
Detect communication with dynamic dns domain. This kind of domain is often used by attackers. This rule can trigger false positive in non-controlled environment because dynamic dns is not always malicious.
- Effort: master
Exfiltration Domain
Detects traffic toward a domain flagged as a possible exfiltration vector.
- Effort: master
Password Change On Directory Service Restore Mode (DSRM) Account
The Directory Service Restore Mode (DSRM) account is a local administrator account on Domain Controllers. Attackers may change the password to gain persistence.
- Effort: intermediate
Possible Replay Attack
This event can be a sign of Kerberos replay attack or, among other things, network device configuration or routing problems.
- Effort: master
Remote Access Tool Domain
Detects traffic toward a domain flagged as a Remote Administration Tool (RAT).
- Effort: master
Remote Monitoring and Management Software - AnyDesk
Detect artifacts related to the installation or execution of the Remote Monitoring and Management tool AnyDesk.
- Effort: master
SEKOIA.IO Intelligence Feed
Detect threats based on indicators of compromise (IOCs) collected by SEKOIA's Threat and Detection Research team.
- Effort: elementary
Sekoia.io EICAR Detection
Detects observables in Sekoia.io CTI tagged as EICAR, which are fake samples meant to test detection.
- Effort: master
TOR Usage Generic Rule
Detects TOR usage globally, whether the IP is a destination or source. TOR is short for The Onion Router, and it gets its name from how it works. TOR intercepts the network traffic from one or more apps on user’s computer, usually the user web browser, and shuffles it through a number of randomly-chosen computers before passing it on to its destination. This disguises user location, and makes it harder for servers to pick him/her out on repeat visits, or to tie together separate visits to different sites, this making tracking and surveillance more difficult. Before a network packet starts its journey, user’s computer chooses a random list of relays and repeatedly encrypts the data in multiple layers, like an onion. Each relay knows only enough to strip off the outermost layer of encryption, before passing what’s left on to the next relay in the list.
- Effort: master
User Account Created
Detects user creation on windows servers, which shouldn't happen in an Active Directory environment. Apply this on your windows server logs and not on your DC logs. One default account defaultuser0 is excluded as only used during Windows set-up. This detection use Security Event ID 4720.
- Effort: master
User Account Deleted
Detects local user deletion
- Effort: master
Event Categories
The following table lists the data source offered by this integration.
| Data Source | Description |
|---|---|
Network Device Logs |
Logs generated by Radware DefensePro that provide detailed information on detected network threats, attacker behaviors, and mitigation actions taken to protect the infrastructure |
In details, the following table denotes the type of events produced by this integration.
| Name | Values |
|---|---|
| Kind | alert, event |
| Category | authentication, intrusion_detection, network |
| Type | denied, info, start |
Transformed Events Samples after Ingestion
This section demonstrates how the raw logs will be transformed by our parsers. It shows the extracted fields that will be available for use in the built-in detection rules and hunting activities in the events page. Understanding these transformations is essential for analysts to create effective detection mechanisms with custom detection rules and to leverage the full potential of the collected data.
{
"message": "20-03-2025 07:49:10 WARNING 1282 ErtFeed \"ERT Active Attacker: ERT;SCN\" TCP 1.2.3.4 56789 5.6.7.8 8080 1 Regular \"test4\" occur 1 0 2605 0 N/A high drop FFFFFFFF-0000-4567-8989-012345678901",
"event": {
"action": "drop",
"category": [
"intrusion_detection",
"network"
],
"code": "1282",
"kind": "alert",
"type": "denied"
},
"@timestamp": "2025-03-20T07:49:10Z",
"destination": {
"address": "5.6.7.8",
"ip": "5.6.7.8",
"port": 8080
},
"log": {
"level": "WARNING"
},
"network": {
"packets": 1,
"protocol": "tcp"
},
"observer": {
"product": "DefensePro",
"vendor": "Radware"
},
"radware": {
"defensepro": {
"attack": {
"status": "occur"
},
"context": "Regular",
"mpls": {
"rd": "0",
"tag": "N/A"
},
"physical": {
"port": 1
},
"risk": "high",
"unique_id": "FFFFFFFF-0000-4567-8989-012345678901",
"vlan": {
"tag": "2605"
},
"volume": 0
}
},
"related": {
"ip": [
"1.2.3.4",
"5.6.7.8"
]
},
"rule": {
"ruleset": "test4"
},
"source": {
"address": "1.2.3.4",
"ip": "1.2.3.4",
"port": 56789
},
"threat": {
"feed": {
"name": "ErtFeed"
},
"technique": {
"name": "ERT Active Attacker: ERT;SCN"
}
}
}
{
"message": "01-08-2025 12:55:01 INFO BDoS baseline learning is being suppressed now on inbound IPv4 traffic for policy \"test\".",
"event": {
"category": [
"network"
],
"kind": "event",
"reason": "BDoS baseline learning is being suppressed now on inbound IPv4 traffic for policy \"test\".",
"type": "start"
},
"@timestamp": "2025-08-01T12:55:01Z",
"log": {
"level": "INFO"
},
"observer": {
"product": "DefensePro",
"vendor": "Radware"
},
"radware": {
"defensepro": {
"baseline": {
"status": "suppressed"
}
}
},
"rule": {
"ruleset": "test"
}
}
{
"message": "01-07-2025 10:49:12 INFO User jdoe logged in via ssh 1.2.3.4",
"event": {
"category": [
"authentication"
],
"kind": "event",
"type": "info"
},
"@timestamp": "2025-07-01T10:49:12Z",
"log": {
"level": "INFO"
},
"network": {
"protocol": "ssh"
},
"observer": {
"product": "DefensePro",
"vendor": "Radware"
},
"related": {
"ip": [
"1.2.3.4"
],
"user": [
"jdoe"
]
},
"source": {
"address": "1.2.3.4",
"ip": "1.2.3.4"
},
"user": {
"name": "jdoe"
}
}
Extracted Fields
The following table lists the fields that are extracted, normalized under the ECS format, analyzed and indexed by the parser. It should be noted that infered fields are not listed.
| Name | Type | Description |
|---|---|---|
@timestamp |
date |
Date/time when the event originated. |
destination.ip |
ip |
IP address of the destination. |
destination.port |
long |
Port of the destination. |
event.action |
keyword |
The action captured by the event. |
event.category |
keyword |
Event category. The second categorization field in the hierarchy. |
event.code |
keyword |
Identification code for this event. |
event.kind |
keyword |
The kind of the event. The highest categorization field in the hierarchy. |
event.reason |
keyword |
Reason why this event happened, according to the source |
event.type |
keyword |
Event type. The third categorization field in the hierarchy. |
log.level |
keyword |
Log level of the log event. |
network.packets |
long |
Total packets transferred in both directions. |
network.protocol |
keyword |
Application protocol name. |
observer.product |
keyword |
The product name of the observer. |
observer.vendor |
keyword |
Vendor name of the observer. |
radware.defensepro.attack.status |
keyword |
Attack status values indicate whether an event is per packet (occur), marks the start or end of a continuous event (start/term), is an ongoing report for continuous events (ongoing), or is a sampled report for continuous events (sampled). |
radware.defensepro.baseline.status |
keyword |
Baseline status (e.g., active, suppressed) |
radware.defensepro.context |
keyword |
Context, relevant only when SSL/TLS is used. Values: Reassembly, Regular, Decrypted HTTPS and Regular-and-Decrypted-HTTPS |
radware.defensepro.mpls.rd |
keyword |
MPLS Route Distinguisher value associated with the reported event |
radware.defensepro.mpls.tag |
keyword |
MPLS label/tag associated with the reported event |
radware.defensepro.physical.port |
number |
Identified DefensePro physical port |
radware.defensepro.risk |
keyword |
Risk level of the attack, as calculated by DefensePro |
radware.defensepro.unique_id |
keyword |
Unique ID, identifying the specific security event, and added to all messages that relate to it. The unique ID is presented in GUID format |
radware.defensepro.vlan.tag |
keyword |
VLAN tag associated with the reported event |
radware.defensepro.volume |
number |
Total kilobits used by the attack, rounded down |
rule.ruleset |
keyword |
Rule ruleset |
source.ip |
ip |
IP address of the source. |
source.port |
long |
Port of the source. |
threat.technique.name |
keyword |
Threat technique name. |
user.name |
keyword |
Short name or login of the user. |
For more information on the Intake Format, please find the code of the Parser, Smart Descriptions, and Supported Events here.