Top 10 Best Arp Poisoning Software of 2026

Wireshark records packet capture data with timestamps, interface metadata, protocol fields, and exportable annotations. Its protocol tree exposes Ethernet source and destination addresses, ARP opcode values, sender mappings, and target mappings for detailed inspection. TShark applies the same display-filter language in command-line workflows, which supports repeatable extraction from automated investigations.

The main tradeoff is that Wireshark cannot generate forged ARP replies or perform active interception. During an incident, analysts can use ARP request analysis to compare gateway announcements, inspect address changes, and preserve relevant traffic for later review. Large captures require selective filters and adequate storage, while alerting and case management require external systems or scripts.

Penetration testers can combine arpspoof with kernel forwarding and libpcap-based packet capture to place a controlled host between network endpoints. Separate utilities cover web URLs, email messages, files, chat traffic, DNS responses, and selected encrypted-session interception scenarios. Output remains accessible through terminal streams and captured files, which supports shell scripts and repeatable lab exercises.

The narrow command model reduces component overhead but leaves forwarding, interface selection, traffic filtering, and cleanup to the operator. dsniff has no documented REST API, RBAC, audit log, or centralized reporting layer. It fits a controlled training network or an authorized assessment of legacy cleartext protocols, not a managed enterprise monitoring workflow.

Nmap combines ICMP, TCP, UDP, and local Ethernet discovery with port, service, and operating-system detection. The Nmap Scripting Engine uses Lua scripts for protocol checks and application-level assessment. XML, grepable, and normal output formats support ingestion into inventory, monitoring, and assessment pipelines.

The main tradeoff is categorical because Nmap cannot perform ARP cache poisoning, intercept packets, or maintain a relay position. Privileged scans on a controlled subnet suit teams validating reachable hosts, exposed services, and segmentation assumptions. Active probes can trigger network alerts and produce incomplete results on filtered or fragile systems.

Scapy is distinct in ARP poisoning because it is a Python packet-crafting toolkit rather than a dedicated spoofing appliance. Core capabilities include forging ARP requests and replies, sending crafted Ethernet frames, and performing packet capture for ARP request analysis and PCAP analysis.

Scapy also supports parsing and validating fields like IP and MAC, which enables IP-to-MAC mapping checks during local area network monitoring. Its extensibility comes from writable Python scripts that integrate capture, interception, and post-run verification in one workflow.

Zeek performs local-area network monitoring by parsing traffic streams and producing structured logs for later analysis. It is distinct among ARP poisoning tools because it focuses on detection through observables like ARP request and reply patterns, then correlates those signals with broader network behavior in its own logging pipeline.

Zeek ships with parsers, analyzers, and scripting hooks that can turn ARP anomalies into notifications and incident-response context. It is not an ARP spoofer and it does not try to intercept traffic through man-in-the-middle tactics.

Bettercap is a network testing toolkit where ARP cache poisoning is one module inside a wider packet-interaction workflow. ARP spoofing can be driven from configuration files or live command sessions that also support traffic capture and selective filtering.

The tooling includes plugins and scripting hooks that let operators automate host discovery, targeting, and packet forwarding. Bettercap is most distinct when the ARP poisoning run needs to be coordinated with ongoing traffic visibility and repeatable task scripting.

Kali Linux brings a security-focused Linux distribution that bundles many ARP spoofing and interception toolchains, including frameworks that commonly pair packet capture with MITM workflows. ARP cache poisoning and traffic interception are supported through curated utilities for spoofing, packet capture, and traffic replay across IPv4 Ethernet networks.

It also supports repeatable lab setups by leveraging standard Linux package management plus common scripting around CLI tools and PCAP file workflows. Network operators get audit-ready artifacts through packet capture outputs that can be analyzed after a run.

arpwatch from ee.lbl.gov is a long-running passive LAN monitoring tool that builds an IP to MAC history from observed Ethernet traffic. It generates alerts when a seen mapping changes, which supports man-in-the-middle detection for ARP cache poisoning and ARP spoofing attempts on IPv4 Ethernet networks.

The core workflow focuses on ARP request analysis and reply validation rather than full packet capture storage, which keeps the primary output centered on mapping deltas. Configuration is file- and daemon-based, with logs and email-style notifications used for operational response.

Snort runs network intrusion detection on captured traffic and can also perform targeted ARP spoofing detection by inspecting L2 patterns in realtime or from pcap. It uses a rules engine that matches packet fields, so ARP request analysis and ARP reply validation can trigger alerts for anomalous IP-to-MAC changes.

Snort can feed alerts into incident response workflows by emitting logs and alerts per event for later correlation. It does not act as a built-in ARP poison mitigation controller, so blocking typically requires external enforcement.

iStatus ArpWatch by akative.com is an ARP monitoring tool that focuses on IP-to-MAC mapping changes and alerting rather than full traffic interception. It generates notifications when observed bindings shift, which supports man-in-the-middle detection workflows on local IPv4 Ethernet networks.

The core capability centers on ARP table auditing signals derived from passive observation, with optional configuration for how updates are tracked and reported. Its utility is strongest when teams want a simple feedback loop for ARP cache poisoning indicators instead of packet capture and deep protocol analysis.