Dev
Fake Network Packet Generator
Testing a network log parser or building a security training lab requires packet metadata that looks like real traffic — varied protocols, realistic IPs, correct protocol-specific fields — without capturing live data. A fake network packet generator produces structured packet log lines for five protocols with appropriate fields on every run. The `protocol` input controls packet content. TCP includes flags (SYN, ACK, SYN+ACK, FIN+ACK, RST), sequence number, and window size. UDP includes payload length and checksum. ICMP includes type codes and ID. HTTP includes method and path. DNS includes query type (A, AAAA, MX, CNAME, TXT) and domain. 'random' produces a mixed batch across all five. The `count` input generates 1 to 30 packets.
How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Select a protocol from the dropdown, or leave it on 'Random' to generate mixed-protocol traffic.
- Set the Number of Packets field to how many log entries you want in the output.
- Click Generate to produce the packet log with IPs, ports, flags, and payload sizes.
- Copy the output and paste it into your parser, dashboard, or test fixture as needed.
Use Cases
- •Populating a React network dashboard with realistic packet rows before live data is available
- •Testing a Python log parser against mixed TCP, UDP, and ICMP entries in a single batch
- •Generating DNS query and response examples for a hands-on security training lab
- •Validating Splunk or Elasticsearch ingest field mappings before real traffic enters the pipeline
- •Demonstrating TCP SYN/ACK flag sequences to students in a TCP/IP fundamentals course
Tips
- →Run the generator twice with different protocols and merge the outputs to simulate a realistic mixed-traffic capture session.
- →When testing a DNS parser specifically, lock the protocol to DNS — random mode may not produce enough DNS rows to cover all query types.
- →TCP output includes varied flag combinations like SYN, ACK, and RST; generate at least 15 packets to get a useful spread across flag states.
- →If your ingest pipeline expects a specific field order or delimiter, generate a large batch first, then reformat — editing the structure once is faster than re-generating.
- →Use small counts (3 to 5 packets) when building and debugging a new parser; switch to large counts only after your field extraction logic is confirmed correct.
- →ICMP packets include type and code values — useful for testing whether your monitoring tool distinguishes echo requests from unreachable messages.
FAQ
how do I generate fake network packet data for testing a log parser
Select a protocol from the dropdown or leave it on 'random' for mixed traffic, set the packet count, and click Generate. Each line includes source/destination IP and port, payload size, and protocol-specific fields like TCP flags or DNS query type. For single-protocol parsers, lock the protocol so every row in the batch uses consistent fields, making it easier to write and test extraction patterns.
can fake packet metadata test a siem pipeline like splunk or elasticsearch
Yes, for field mapping and parsing rule validation. The output covers common schema fields — source IP, destination port, protocol, flags, and payload size — that SIEM ingestors extract. Format the output as JSON or CSV, push it through your ingest pipeline, and confirm fields index correctly. It does not replicate raw byte streams or actual payloads, but it is solid for validating parse logic before live traffic arrives.
what is the difference between random protocol mode and picking a specific one
Random mode produces a mixed log batch with varying protocols in each run, useful for parsers or dashboards that handle multiple traffic types. Selecting a specific protocol like DNS or ICMP gives a uniform batch where every packet shares the same field structure — ideal when your code targets one protocol and you want predictable fixtures without filtering unrelated rows.
is this real packet capture or simulated data
It is entirely simulated — IPs, ports, sequence numbers, and payload sizes are randomly generated, not captured from a real network. There is no privacy or security concern in sharing or committing the output. For genuine traffic analysis, use a real capture tool like tcpdump or Wireshark; this generator produces safe, synthetic data for education, demos, and parser testing.
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