Docs
test1test2
6.5
6.5
  • ElastiFlow Documentation
  • Unified Flow Collector
    • General Configuration
    • Changelog
    • Maxmind GeoIP2 and GeoLite2
    • RiskIQ PassiveTotal
    • Network Interfaces
    • User-Defined Metadata
    • Docker
    • Linux
    • Unified Flow Collector Introduction
    • System Requirements
    • Supported IEs
    • AWS VPC Flow Log IEs
    • IPFIX IEs
    • Netflow IEs
    • sFlow IEs
  • Unified SNMP Collector
    • Device Groups
    • Changelog
    • Devices
    • Downloading Definitions
    • Enumerations
    • Objects
    • Object Groups
    • User-Defined Metadata
    • Docker
    • Network Interfaces
    • United SNMP Collector Introduction
    • Linux
    • Scheduling Rediscovery
  • Monitoring ElastiFlow
    • Liveness & Readiness
    • Metrics
    • Prometheus & Grafana
  • Configuration Reference
    • YAML Configuration Files
    • Configuration Reference Overview
    • Common
      • API
      • Licensing
      • Overview
      • Logging
      • HTTP output
      • Elasticsearch output
      • Kafka output
      • Monitor output
      • OpenSearch output
      • Splunk output
      • stdout output
      • Processor
    • Unified Flow Collector
      • Overview
      • Community/Conversation IDs
      • EF_PROCESSOR_ENRICH_TOTALS_IF_NO_DELTAS
      • Overview
      • RiskIQ PassiveTotal
      • Maxmind
      • User-Defined Metadata
      • Overview
      • Overview
      • User-Defined Metadata
      • Overview
      • Benchmark Input
      • Netflow/IPFIX/sFlow (UDP)
      • Licensing
      • Decoder/Processor
      • Sample Rate
      • Configuration Changes
    • Unified SNMP Collector
      • User-Defined Metadata
      • Overview
      • Licensing
      • SNMP Poller
      • EF_PROCESSOR_SNMP_ENUM_DEFINITIONS_DIRECTORY_PATH
  • API Reference
    • API Reference Overview
    • SNMP Operations
  • Data Platforms
    • Elastic
      • Basic Cluster
      • Advanced Cluster
      • Single Server
      • Multi-Tier Cluster
      • Single "Lab" Server
      • Elasticsearch
      • ElastiFlow vs. Filebeat and Logstash
      • RHEL/CentOS
      • Ubuntu/Debian
      • Kibana
      • ML
        • Network Security
        • Machine Learning
        • Availability
          • Network Availability
          • DHCP
          • LDAP
          • DNS
          • NTP
          • RADIUS
          • TCP Sessions
        • Network Security Activity
          • Rare Autonomous System
          • Network Activity
          • Rare Conversation
          • Rare Geolocation
        • Network Security Brute Force
          • Brute Force CLI Access
          • Brute Force Remote Desktop Access
          • Brute Force Attacks
        • Network Security DDoS
          • Denial-of-Service
          • ICMP Flood Attack
          • SYN Flood Attack
          • TCP DDoS Attack
          • UDP Amplification Attack
        • Network Security Recon
          • ICMP Scan
          • Reconnaissance
          • Port Scan
        • Performance
          • Unusual ASN Traffic Volume
          • Unusual Network Interface Traffic Volume
          • Network Performance
    • Opensearch
      • Dashboards
      • Auth Sig V4
    • Splunk
      • Default Search Macro
      • Configuring Data Input & Index
      • Splunk App Installation
    • Output Configuration
  • Additional Guides
    • Catalyst (sFlow)
    • FortiGate
    • hsflowd
    • Configuring Flow Sampling on Juniper Routers
    • Junos OS (sFlow)
    • MikroTik RouterOS
    • OpenWRT (softflowd)
    • Ubiquiti EdgeRouter
    • SonicWall
    • Junos OS
    • Extending SNMP Device Support
    • Flow Device Support Overview
    • SNMP Device Support Overview
    • Generating A Support Bundle
  • FAQ
    • Flows stopped showing up in Kibana (Disk(s) Full)
    • Common reasons why you have discrepancies between ElastiFlow data & reality
    • What Are Snapshots?
    • Importing the wrong dashboards (No data)
  • Knowledge Base
    • Config
      • Elasticsearch Authentication Failure
      • CA Certificate Path Incorrect
      • license/error Invalid Segments
    • Flow
      • Bidirectional Flow Support
      • Configure the UDP Input
      • Flow Records Not Received
      • Netflow v9/IPFIX Template Not Receieved
      • Unsupported sFlow Structures
    • General
      • License Has Expired
      • License Agreement Not Accepted
    • Install
      • .deb Upgrade Fails File Overwrite
    • Operation
      • Flow Collector Queues 90% Full
      • Dashboard Updates
      • Change elastiflow-* Index Name?
  • Elastic Stack Deployment
  • Download Links
Powered by GitBook
On this page
  1. Data Platforms
  2. Elastic
  3. ML
  4. Network Security Brute Force

Brute Force Attacks

PreviousBrute Force Remote Desktop AccessNextNetwork Security DDoS

import DocCardList from '@theme/DocCardList';

Identifying brute force access attempts is crucial in maintaining network security and integrity. Brute force attacks, where attackers try numerous combinations of usernames and passwords to gain unauthorized access, are a common and persistent threat. These attacks can lead to unauthorized access to sensitive data, system compromise, and can be a precursor to more severe security breaches. Early detection and response to brute force attempts are vital for preventing attackers from gaining access and for safeguarding network resources and data.

ElastiFlow provides a collection of anomaly detection jobs designed to identify brute force access attempts plays a critical role in this early detection process. These jobs employ sophisticated algorithms to monitor and analyze authentication logs and traffic patterns, looking for signs that are indicative of brute force methods.

Downloads

Schema
Link

CODEX

ECS

By deploying this suite of anomaly detection jobs, organizations can quickly identify and respond to brute force access attempts. These tools provide an essential layer of defense, alerting administrators to suspicious activities so that immediate action can be taken, such as enforcing account lockouts, changing passwords, or implementing additional authentication measures. This proactive approach is key to maintaining robust security protocols and protecting against one of the most common and enduring forms of cyber attacks.

All Brute Force ML Jobs for CODEX Schema
All Brute Force ML Jobs for ECS Schema