PcapJoiner vs. Other PCAP Tools: Which Is Best for Merging?Merging packet capture files (PCAP, PCAPNG) is an everyday task for network engineers, security analysts, and researchers. Combining captures recorded on multiple sensors or at different times helps form a complete view of network activity, reconstruct sessions, and simplify analysis in Wireshark, Zeek, or other tools. This article compares PcapJoiner to other common PCAP merging utilities, explains key differences and trade-offs, and gives practical advice for choosing the right tool and using it correctly.
What “merging” means for PCAP files
Merging can mean different things depending on the goal:
- Concatenation: simply appending packets from file B after file A without reordering.
- Timestamp-ordered merge: interleaving packets by their capture timestamp so the combined file reflects chronological packet order.
- Deduplicating/normalizing: removing duplicate packets, fixing timestamp issues, or adjusting link-layer headers (for example, when captures come from different interfaces or sensors).
- Rewriting metadata: preserving or standardizing capture headers, interfaces, and per-packet metadata (PCAPNG blocks).
Different tools support different subsets of these features — choosing the wrong one can produce misleading traces.
Key criteria to evaluate merging tools
When deciding which tool to use, consider:
- Timestamp handling — does the tool preserve original timestamps and allow reordering by time?
- File format support — PCAP vs PCAPNG; presence of per-packet comments and interface blocks.
- Performance & memory use — can the tool handle many large captures efficiently?
- Packet integrity — does it preserve link-layer headers, sequence numbers, or checksums?
- Deduplication & filtering — options to remove duplicates or exclude packets during merge.
- Usability & automation — CLI options, scripting, progress reporting, exit codes for automation.
- Cross-platform availability — Linux, macOS, Windows support and packaging.
- Safety for analysis — whether timestamps or order are altered in ways that could mislead investigators.
PcapJoiner — what it offers
PcapJoiner (hereafter “PJ”) focuses on merging multiple PCAP/PCAPNG files with an emphasis on correct timestamp ordering and low memory usage. Typical features include:
- Timestamp-ordered merge: PJ reads input files and interleaves packets by capture time so the output reflects a true chronological sequence.
- Streamed processing: Designed to avoid loading entire files into memory; works well on very large captures by reading packets incrementally.
- Format support: Handles both classic PCAP and PCAPNG, preserving interface blocks where possible.
- Simple CLI: Commands like pcapjoiner -o merged.pcap a.pcap b.pcap with options for time tolerance and output format.
- Deduplication options: Basic duplicate-packet detection based on timestamp + header/content comparisons.
- Preserves packet content: Does not rewrite packet payloads or checksums by default.
Strengths: accurate time-ordered results, low RAM use, predictable behavior for large datasets. Weaknesses: may have fewer advanced filtering or normalization features than broader toolkits.
Other common PCAP merging tools
Below are several widely used alternatives, with their typical behavior:
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Wireshark / Tshark (merge via editcap): editcap can merge files by simple concatenation or by timestamp ordering with -F and -t options. It supports PCAPNG and can rewrite interface indices. editcap is robust and widely available but may use more memory for large files and can change some metadata.
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Mergecap (from the Wireshark project): specifically designed to merge multiple capture files. It supports timestamp reordering (-w for output), PCAP/PCAPNG, and options to limit memory. Mergecap is fast and well-tested, but earlier versions had quirks with PCAPNG metadata handling.
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tcpdump/pcap-tools cat-like utilities: simple concatenation approaches (e.g., tcpdump -r A.pcap -w – >> B.pcap) which may be fast but typically do not reorder by time or handle PCAPNG properly.
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Capinfos and other libpcap-based utilities: some provide merging in combination with filtering; often used in scripts but not specialized for efficient large-merge operations.
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Custom scripts using Scapy, Pyshark, or libpcap bindings: highly flexible — you can define complex deduplication or normalization rules — but often far slower and memory-hungry for multi-GB captures.
Side-by-side comparison
Feature | PcapJoiner | Mergecap (Wireshark) | editcap | Simple concat (tcpdump) | Custom scripts (Scapy) |
---|---|---|---|---|---|
Timestamp-ordered merge | Yes | Yes | Optional | No | Yes (if implemented) |
PCAPNG support | Yes | Yes | Yes | No | Depends |
Memory efficiency | High | Medium–High | Medium | High | Low |
Deduplication | Basic | Limited | No | No | Custom |
CLI automation | Good | Good | Good | Basic | Custom |
Cross-platform | Linux/macOS/Windows | Linux/macOS/Windows | Linux/macOS/Windows | Linux/macOS | Depends |
Common pitfalls and how PcapJoiner handles them
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Clock skew between capture devices: PcapJoiner supports a time-tolerance parameter so packets within a small window can be treated appropriately or adjusted to avoid misordering apparent flows.
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Different link-layer types: PJ preserves link-layer headers but cannot magically reconcile incompatible link-layer types (for example, merging Ethernet and radiotap streams) — you must normalize interfaces first.
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PCAPNG interface metadata: PJ attempts to preserve or map interface blocks into the output PCAPNG; when impossible it will fall back to canonicalizing to PCAP with a single link-type, with a warning.
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Very large inputs: PJ’s streaming approach prevents OOM errors when merging many large files.
Practical recommendations
- For quick concatenation where order doesn’t matter: simple concat or mergecap will suffice.
- For accurate chronological reconstruction across sensors: PcapJoiner or mergecap with timestamp reordering. PcapJoiner is preferable when working with very large files or limited memory.
- If you need complex normalization, per-packet rewriting, or custom deduplication rules: consider scripted solutions (Scapy) but only for smaller datasets or with careful optimization.
- Always verify merged output: open the merged capture in Wireshark, check first/last timestamps per original file (capinfos), and confirm session continuity.
Example workflows
- Chronological merge of large multi-GB captures:
- Use PcapJoiner with streamed mode and a 1–5 ms tolerance to protect against minor timestamp jitter.
- Validate with capinfos and spot-check flows in Wireshark.
- Merge PCAPNG with per-packet comments preserved:
- Use mergecap/editcap or PcapJoiner with PCAPNG preservation enabled; verify comments appear in Wireshark.
- Merge wireless captures with different radiotap headers:
- Normalize link-layer headers first (e.g., using tcprewrite or custom scripts), then use PcapJoiner to interleave by timestamp.
Conclusion
If your priority is accurate, memory-efficient, timestamp-ordered merging of many or very large capture files, PcapJoiner is an excellent choice. For general-purpose merging with broad community support, Mergecap/editcap remain dependable. For bespoke normalization or filtering, scripted approaches offer maximum flexibility at the cost of performance.
Choose based on file sizes, need for timestamp ordering, and whether you must preserve PCAPNG metadata or perform advanced normalization.