What can Corelight do?

protocol-level network traffic analysis, encrypted traffic behavior profiling, custom detection rule development and deployment, network baseline establishment and comparison, threat intelligence feed integration, network traffic volume and performance analytics, siem and security tool ecosystem integration, structured security event log generation, network forensics investigation support, threat hunting query execution, anomalous network behavior detection, application identification and classification, file extraction and analysis support, dns activity monitoring and analysis, http/https activity tracking and analysis

Corelight

ProductPaid

Unleash powerful network security and analytics with Zeek-based...

Well Verified

Best for:Security operations centers and threat research teams with existing Zeek expertise who prioritize deep network forensics over simple plug-and-play threat detection.

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15 capabilities3 data sources

Capabilities15 decomposed

protocol-level network traffic analysis

Medium confidence

Performs deep packet inspection and protocol dissection on network traffic to extract granular details about communication patterns, application behavior, and protocol-level anomalies. Leverages Zeek's battle-tested engine to decode and analyze hundreds of network protocols.

Solves for

I need to understand exactly what protocols are being used on my networkI want to see detailed breakdowns of application-layer communicationI need to identify protocol violations or unusual protocol behavior

Best for

security operations centers

threat research teams

network forensics specialists

Requires

network traffic access (SPAN/mirror ports or TAP)

Zeek protocol expertise

substantial compute infrastructure

Limitations

requires significant compute resources for high-volume traffic

steep learning curve for teams unfamiliar with protocol analysis

encrypted payload contents cannot be inspected

encrypted traffic behavior profiling

Medium confidence

Analyzes behavioral patterns in encrypted network traffic without decrypting payloads, extracting metadata such as certificate information, TLS versions, cipher suites, and communication patterns to identify suspicious encrypted connections.

Solves for

I need to detect threats hiding in encrypted traffic without decryptionI want to identify suspicious TLS/SSL certificate usageI need to profile encrypted communication patterns to spot anomalies

Best for

threat hunters

incident responders

SOC teams with encrypted traffic concerns

Requires

network traffic visibility

understanding of TLS/SSL protocols

threat intelligence context

Limitations

cannot inspect encrypted payload contents

relies on metadata patterns which may have false positives

requires baseline of normal encrypted traffic patterns

custom detection rule development and deployment

Medium confidence

Enables creation of custom detection rules using Zeek scripting language to identify specific threats, attack patterns, or policy violations. Supports deployment of custom rules to detect organization-specific threats.

Solves for

I need to create custom detection rules for threats specific to my organizationI want to detect attack patterns that commercial rules don't coverI need to implement custom security policies through network detection

Best for

experienced security teams

organizations with custom threat models

teams with Zeek expertise

Requires

Zeek scripting expertise

threat intelligence context

testing infrastructure

Limitations

steep learning curve for Zeek scripting

rule development is time-consuming

requires testing and tuning

network baseline establishment and comparison

Medium confidence

Establishes baseline profiles of normal network behavior and enables comparison of current traffic against these baselines to identify deviations. Supports creation of organization-specific network behavior models.

Solves for

I need to establish what normal network behavior looks like for my organizationI want to compare current traffic against historical baselinesI need to identify when network behavior changes significantly

Best for

SOC teams

network security teams

organizations with mature security programs

Requires

historical network traffic data

statistical analysis capability

domain expertise

Limitations

requires substantial historical data collection

baseline creation is time-consuming

legitimate changes can trigger false positives

threat intelligence feed integration

Medium confidence

Integrates external threat intelligence feeds with network analysis to automatically correlate observed network activity against known indicators of compromise, malicious IPs, and threat signatures.

Solves for

I want to automatically check network traffic against known threat indicatorsI need to correlate my network data with external threat intelligenceI want to detect known malicious IPs and domains in my traffic

Best for

SOC teams

organizations with threat intelligence programs

teams using multiple threat feeds

Requires

threat intelligence feed subscriptions

feed integration capability

threat intelligence management platform

Limitations

requires subscription to threat intelligence feeds

feed quality varies significantly

false positives from low-quality feeds

network traffic volume and performance analytics

Medium confidence

Analyzes network traffic volume, bandwidth consumption, and performance metrics to identify capacity issues, traffic patterns, and potential DDoS or resource exhaustion attacks.

Solves for

I need to understand network traffic volume and bandwidth patternsI want to detect DDoS attacks or resource exhaustionI need to identify performance bottlenecks in network traffic

Best for

network operations teams

SOC teams

organizations with performance concerns

Requires

network traffic data

performance baseline

analytics capability

Limitations

requires baseline for comparison

high-volume traffic analysis is resource-intensive

may miss sophisticated low-volume attacks

siem and security tool ecosystem integration

Medium confidence

Integrates Corelight's network analysis capabilities with existing SIEM platforms, threat intelligence systems, and other security tools through standardized data formats and APIs.

Solves for

I need to integrate network data into my existing SIEM platformI want to correlate network events with other security data sourcesI need to automate security workflows using network data

Best for

SOC teams with existing security infrastructure

organizations with mature security tool ecosystems

teams managing multiple security platforms

Requires

SIEM platform or log aggregation system

API access

integration expertise

Limitations

requires SIEM platform compatibility

integration complexity depends on existing tools

may require custom development

structured security event log generation

Medium confidence

Converts raw network traffic analysis into structured, machine-readable logs organized by connection type, application, and protocol. Generates standardized event records that integrate seamlessly with SIEM platforms and threat intelligence systems.

Solves for

I need to feed network security data into my SIEM platformI want structured logs that my security tools can automatically parseI need to correlate network events with other security data sources

Best for

SOC teams with existing SIEM infrastructure

security teams integrating multiple data sources

organizations with automated threat detection workflows

Requires

SIEM platform or log aggregation system

network traffic analysis data

log schema understanding

Limitations

requires SIEM platform compatibility

log volume can be substantial requiring storage planning

custom field mappings may be needed for specific SIEM platforms

network forensics investigation support

Medium confidence

Provides detailed historical network activity records and metadata extraction capabilities to support incident investigation and forensic analysis. Enables security teams to reconstruct network events, identify attack paths, and gather evidence for incident response.

Solves for

I need to reconstruct what happened during a security incidentI want to identify the source and destination of suspicious trafficI need to gather forensic evidence for incident investigation

Best for

incident response teams

forensic investigators

threat research teams

Requires

network traffic capture/retention

forensic analysis expertise

timeline correlation tools

Limitations

requires historical traffic data retention

analysis is time-consuming for large datasets

encrypted content cannot be analyzed

threat hunting query execution

Medium confidence

Enables security analysts to write and execute custom queries against network traffic data to hunt for specific threat indicators, suspicious patterns, or indicators of compromise. Supports iterative hypothesis testing and exploratory threat hunting workflows.

Solves for

I want to search for specific indicators of compromise in my networkI need to test hypotheses about potential threatsI want to hunt for known attack patterns in historical traffic

Best for

threat hunters

experienced security analysts

teams with Zeek scripting knowledge

Requires

Zeek scripting knowledge

threat intelligence context

network traffic data

Limitations

steep learning curve for Zeek query language

query performance depends on data volume and complexity

requires expertise to write effective hunting queries

anomalous network behavior detection

Medium confidence

Identifies deviations from normal network communication patterns by analyzing connection characteristics, data volumes, timing patterns, and protocol usage. Detects unusual network behavior that may indicate compromise or malicious activity.

Solves for

I need to spot unusual network activity that doesn't match normal patternsI want to detect data exfiltration or command-and-control communicationI need to identify lateral movement or reconnaissance activity

Best for

SOC teams

threat hunters

organizations with mature network baselines

Requires

historical baseline data

network behavior understanding

custom tuning and threshold configuration

Limitations

requires established baseline of normal behavior

high false positive rates without proper tuning

behavioral changes may be legitimate

application identification and classification

Medium confidence

Automatically identifies and classifies applications running on the network by analyzing protocol signatures, communication patterns, and behavioral characteristics. Provides visibility into what applications are communicating across the network.

Solves for

I need to know what applications are running on my networkI want to identify shadow IT or unauthorized applicationsI need to classify traffic by application type for policy enforcement

Best for

network administrators

SOC teams

organizations managing application inventory

Requires

network traffic visibility

application signature database

protocol analysis capability

Limitations

encrypted applications are harder to identify

new or custom applications may not be recognized

classification accuracy depends on traffic patterns

file extraction and analysis support

Medium confidence

Identifies and extracts files transferred across the network from traffic analysis, enabling security teams to analyze suspicious files for malware or policy violations. Provides metadata about file transfers for investigation.

Solves for

I need to identify files being transferred across my networkI want to extract suspicious files for malware analysisI need to detect policy violations related to file transfers

Best for

SOC teams

incident responders

organizations with strict data transfer policies

Requires

network traffic capture

file analysis tools

malware analysis capability

Limitations

cannot extract from encrypted traffic

large file transfers may impact performance

requires downstream malware analysis tools

dns activity monitoring and analysis

Medium confidence

Provides detailed DNS query and response analysis including domain resolution patterns, DNS tunneling detection, and DNS-based threat indicators. Enables detection of DNS-based attacks and suspicious domain resolution activity.

Solves for

I need to detect DNS-based attacks or data exfiltrationI want to identify suspicious domain resolution patternsI need to monitor for DNS tunneling or DNS-based C2 communication

Best for

SOC teams

threat hunters

organizations with DNS-based threat concerns

Requires

DNS traffic visibility

threat intelligence feeds

DNS analysis expertise

Limitations

DNS over HTTPS/TLS cannot be analyzed

requires threat intelligence for domain reputation

high volume of DNS queries can be overwhelming

http/https activity tracking and analysis

Medium confidence

Analyzes HTTP and HTTPS traffic to extract request/response metadata, headers, URIs, and behavioral patterns. Provides visibility into web-based communication and enables detection of web-based threats.

Solves for

I need to see what websites and web services are being accessedI want to detect web-based attacks or malicious web trafficI need to identify suspicious HTTP/HTTPS communication patterns

Best for

SOC teams

web security teams

organizations with web-based threat concerns

Requires

HTTP/HTTPS traffic visibility

threat intelligence feeds

web security expertise

Limitations

HTTPS payload cannot be inspected without decryption

high volume of HTTP traffic can be overwhelming

requires threat intelligence for malicious URL detection

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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MCP Server29

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Best For

✓security operations centers
✓threat research teams
✓network forensics specialists
✓threat hunters
✓incident responders
✓SOC teams with encrypted traffic concerns
✓experienced security teams
✓organizations with custom threat models

Known Limitations

⚠requires significant compute resources for high-volume traffic
⚠steep learning curve for teams unfamiliar with protocol analysis
⚠encrypted payload contents cannot be inspected
⚠cannot inspect encrypted payload contents
⚠relies on metadata patterns which may have false positives
⚠requires baseline of normal encrypted traffic patterns

Requirements

network traffic access (SPAN/mirror ports or TAP)Zeek protocol expertisesubstantial compute infrastructurenetwork traffic visibilityunderstanding of TLS/SSL protocolsthreat intelligence contextZeek scripting expertisetesting infrastructure

Input / Output

Accepts: network packets, pcap files, live network streams, encrypted network traffic, TLS handshake data, threat intelligence, attack patterns, Zeek script templates, historical network traffic, connection metadata, threat intelligence feeds, network traffic data, network traffic metrics, connection statistics, structured network logs, security events, protocol analysis results, historical network logs, connection records, Zeek logs, custom query scripts, threat indicators, baseline profiles, network traffic, protocol metadata, file transfer protocols, DNS queries and responses, HTTP/HTTPS traffic

Produces: structured protocol logs, metadata records, connection summaries, certificate metadata, behavioral anomaly scores, threat indicators, custom detection rules, rule documentation, detection results, baseline profiles, deviation reports, behavioral models, threat correlation results, indicator matches, threat reports, traffic volume reports, bandwidth analysis, performance metrics, SIEM-compatible events, API responses, integrated alerts, structured JSON logs, CEF/syslog formatted events, SIEM-compatible records, forensic timelines, connection graphs, evidence summaries, attack path reconstructions, query results, matching connection records, anomaly scores, behavioral alerts, application inventory, classification reports, application-based traffic summaries, extracted files, file metadata, transfer summaries, DNS activity logs, suspicious domain indicators, DNS pattern analysis, HTTP activity logs, URI summaries, suspicious web indicators

UnfragileRank

Adoption15%(25% weight)

Quality53%(25% weight)

Ecosystem45%(10% weight)

Match Graph25%(35% weight)

Freshness100%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: Product

15 capabilities

Visit Corelight→

About

Unleash powerful network security and analytics with Zeek-based insights

Unfragile Review

Corelight transforms network security from reactive to proactive by leveraging Zeek's battle-tested open-source engine to deliver granular protocol analysis and behavioral intelligence. It's a sophisticated tool that excels at threat hunting and network forensics, though it demands significant expertise to extract full value and integrate into existing SOC workflows.

Pros

+Zeek-powered analysis provides unmatched protocol visibility and eliminates blind spots that traditional IDS/IPS systems miss
+Generates structured, actionable intelligence logs that integrate seamlessly with SIEM platforms and threat intelligence feeds
+Purpose-built for threat hunting and incident response with rich metadata extraction from encrypted traffic patterns

Cons

-Steep learning curve for teams unfamiliar with Zeek scripting and network protocol analysis fundamentals
-Requires substantial compute resources for high-volume network traffic, making deployment costs significant for enterprise environments
-Limited out-of-the-box detection rules compared to commercial competitors, necessitating custom tuning

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Capabilities15 decomposed

protocol-level network traffic analysis

Medium confidence

Solves for

Best for

security operations centers

threat research teams

network forensics specialists

Requires

network traffic access (SPAN/mirror ports or TAP)

Zeek protocol expertise

substantial compute infrastructure

Limitations

requires significant compute resources for high-volume traffic

steep learning curve for teams unfamiliar with protocol analysis

encrypted payload contents cannot be inspected

encrypted traffic behavior profiling

Medium confidence

Solves for

I need to detect threats hiding in encrypted traffic without decryptionI want to identify suspicious TLS/SSL certificate usageI need to profile encrypted communication patterns to spot anomalies

Best for

threat hunters

incident responders

SOC teams with encrypted traffic concerns

Requires

network traffic visibility

understanding of TLS/SSL protocols

threat intelligence context

Limitations

cannot inspect encrypted payload contents

relies on metadata patterns which may have false positives

requires baseline of normal encrypted traffic patterns

custom detection rule development and deployment

Medium confidence

Solves for

Best for

experienced security teams

organizations with custom threat models

teams with Zeek expertise

Requires

Zeek scripting expertise

threat intelligence context

testing infrastructure

Limitations

steep learning curve for Zeek scripting

rule development is time-consuming

requires testing and tuning

network baseline establishment and comparison

Medium confidence

Solves for

Best for

SOC teams

network security teams

organizations with mature security programs

Requires

historical network traffic data

statistical analysis capability

domain expertise

Limitations

requires substantial historical data collection

baseline creation is time-consuming

legitimate changes can trigger false positives

threat intelligence feed integration

Medium confidence

Integrates external threat intelligence feeds with network analysis to automatically correlate observed network activity against known indicators of compromise, malicious IPs, and threat signatures.

Solves for

Best for

SOC teams

organizations with threat intelligence programs

teams using multiple threat feeds

Requires

threat intelligence feed subscriptions

feed integration capability

threat intelligence management platform

Limitations

requires subscription to threat intelligence feeds

feed quality varies significantly

false positives from low-quality feeds

network traffic volume and performance analytics

Medium confidence

Analyzes network traffic volume, bandwidth consumption, and performance metrics to identify capacity issues, traffic patterns, and potential DDoS or resource exhaustion attacks.

Solves for

I need to understand network traffic volume and bandwidth patternsI want to detect DDoS attacks or resource exhaustionI need to identify performance bottlenecks in network traffic

Best for

network operations teams

SOC teams

organizations with performance concerns

Requires

network traffic data

performance baseline

analytics capability

Limitations

requires baseline for comparison

high-volume traffic analysis is resource-intensive

may miss sophisticated low-volume attacks

siem and security tool ecosystem integration

Medium confidence

Integrates Corelight's network analysis capabilities with existing SIEM platforms, threat intelligence systems, and other security tools through standardized data formats and APIs.

Solves for

I need to integrate network data into my existing SIEM platformI want to correlate network events with other security data sourcesI need to automate security workflows using network data

Best for

SOC teams with existing security infrastructure

organizations with mature security tool ecosystems

teams managing multiple security platforms

Requires

SIEM platform or log aggregation system

API access

integration expertise

Limitations

requires SIEM platform compatibility

integration complexity depends on existing tools

may require custom development

structured security event log generation

Medium confidence

Solves for

I need to feed network security data into my SIEM platformI want structured logs that my security tools can automatically parseI need to correlate network events with other security data sources

Best for

SOC teams with existing SIEM infrastructure

security teams integrating multiple data sources

organizations with automated threat detection workflows

Requires

SIEM platform or log aggregation system

network traffic analysis data

log schema understanding

Limitations

requires SIEM platform compatibility

log volume can be substantial requiring storage planning

custom field mappings may be needed for specific SIEM platforms

network forensics investigation support

Medium confidence

Solves for

I need to reconstruct what happened during a security incidentI want to identify the source and destination of suspicious trafficI need to gather forensic evidence for incident investigation

Best for

incident response teams

forensic investigators

threat research teams

Requires

network traffic capture/retention

forensic analysis expertise

timeline correlation tools

Limitations

requires historical traffic data retention

analysis is time-consuming for large datasets

encrypted content cannot be analyzed

threat hunting query execution

Medium confidence

Solves for

I want to search for specific indicators of compromise in my networkI need to test hypotheses about potential threatsI want to hunt for known attack patterns in historical traffic

Best for

threat hunters

experienced security analysts

teams with Zeek scripting knowledge

Requires

Zeek scripting knowledge

threat intelligence context

network traffic data

Limitations

steep learning curve for Zeek query language

query performance depends on data volume and complexity

requires expertise to write effective hunting queries

anomalous network behavior detection

Medium confidence

Solves for

Best for

SOC teams

threat hunters

organizations with mature network baselines

Requires

historical baseline data

network behavior understanding

custom tuning and threshold configuration

Limitations

requires established baseline of normal behavior

high false positive rates without proper tuning

behavioral changes may be legitimate

application identification and classification

Medium confidence

Solves for

I need to know what applications are running on my networkI want to identify shadow IT or unauthorized applicationsI need to classify traffic by application type for policy enforcement

Best for

network administrators

SOC teams

organizations managing application inventory

Requires

network traffic visibility

application signature database

protocol analysis capability

Limitations

encrypted applications are harder to identify

new or custom applications may not be recognized

classification accuracy depends on traffic patterns

file extraction and analysis support

Medium confidence

Solves for

I need to identify files being transferred across my networkI want to extract suspicious files for malware analysisI need to detect policy violations related to file transfers

Best for

SOC teams

incident responders

organizations with strict data transfer policies

Requires

network traffic capture

file analysis tools

malware analysis capability

Limitations

cannot extract from encrypted traffic

large file transfers may impact performance

requires downstream malware analysis tools

dns activity monitoring and analysis

Medium confidence

Solves for

I need to detect DNS-based attacks or data exfiltrationI want to identify suspicious domain resolution patternsI need to monitor for DNS tunneling or DNS-based C2 communication

Best for

SOC teams

threat hunters

organizations with DNS-based threat concerns

Requires

DNS traffic visibility

threat intelligence feeds

DNS analysis expertise

Limitations

DNS over HTTPS/TLS cannot be analyzed

requires threat intelligence for domain reputation

high volume of DNS queries can be overwhelming

http/https activity tracking and analysis

Medium confidence

Solves for

I need to see what websites and web services are being accessedI want to detect web-based attacks or malicious web trafficI need to identify suspicious HTTP/HTTPS communication patterns

Best for

SOC teams

web security teams

organizations with web-based threat concerns

Requires

HTTP/HTTPS traffic visibility

threat intelligence feeds

web security expertise

Limitations

HTTPS payload cannot be inspected without decryption

high volume of HTTP traffic can be overwhelming

requires threat intelligence for malicious URL detection

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Unfragile Review

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Corelight

Capabilities15 decomposed

protocol-level network traffic analysis

encrypted traffic behavior profiling

custom detection rule development and deployment

network baseline establishment and comparison

threat intelligence feed integration

network traffic volume and performance analytics

siem and security tool ecosystem integration

structured security event log generation

network forensics investigation support

threat hunting query execution

anomalous network behavior detection

application identification and classification

file extraction and analysis support

dns activity monitoring and analysis

http/https activity tracking and analysis

Related Artifactssharing capabilities

Amplifier Security

BforeAI

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Fortra

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Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Unfragile Review

Pros

Cons

Categories

Alternatives to Corelight

Are you the builder of Corelight?

Get the weekly brief

Data Sources

Corelight

Capabilities15 decomposed

protocol-level network traffic analysis

encrypted traffic behavior profiling

custom detection rule development and deployment

network baseline establishment and comparison

threat intelligence feed integration

network traffic volume and performance analytics

siem and security tool ecosystem integration

structured security event log generation

network forensics investigation support

threat hunting query execution

anomalous network behavior detection

application identification and classification

file extraction and analysis support

dns activity monitoring and analysis

http/https activity tracking and analysis

Related Artifactssharing capabilities

Amplifier Security

BforeAI

Redcoat AI

Fortra

browser-devtools-mcp

playwright-min-network-mcp

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Unfragile Review

Pros

Cons

Categories

Alternatives to Corelight

Are you the builder of Corelight?

Get the weekly brief

Data Sources