wireshark-mcp
PyPI
v1.1.5
Published by bx33661 — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 7 = 93. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −6 | capability blast radius (high) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Tools that read sensitive data ([wireshark_get_packet_bytes]) and tools that can send data out ([wireshark_filter_save]) are exposed together. An agent can move private data to the sink.
Evidence: sources [wireshark_get_packet_bytes] → sinks [wireshark_filter_save]
Fix: Keep secret-reading and egress capabilities on separate, separately-approved servers.
Location: flow wireshark_get_packet_bytes → wireshark_filter_save
Each tool and what it can reach — statically extracted from the published source.
wireshark_filter_savenetwork egresswireshark_get_packet_bytesreads sensitive datawireshark_captureno sensitive capabilitywireshark_decode_payloadno sensitive capabilitywireshark_editcap_deduplicateno sensitive capabilitywireshark_editcap_splitno sensitive capabilitywireshark_editcap_time_shiftno sensitive capabilitywireshark_editcap_trimno sensitive capabilitywireshark_extract_fieldsno sensitive capabilitywireshark_follow_streamno sensitive capabilitywireshark_get_capabilitiesno sensitive capabilitywireshark_get_file_infono sensitive capabilitywireshark_get_packet_contextno sensitive capabilitywireshark_get_packet_detailsno sensitive capabilitywireshark_get_packet_listno sensitive capabilitywireshark_list_interfacesno sensitive capabilitywireshark_list_ipsno sensitive capabilitywireshark_merge_pcapsno sensitive capabilitywireshark_open_fileno sensitive capabilitywireshark_plot_protocolsno sensitive capabilitywireshark_plot_trafficno sensitive capabilitywireshark_quick_analysisno sensitive capabilitywireshark_read_packetsno sensitive capabilitywireshark_search_packetsno sensitive capabilitywireshark_security_auditno sensitive capabilitywireshark_stats_conversationsno sensitive capabilitywireshark_stats_endpointsno sensitive capabilitywireshark_stats_expert_infono sensitive capabilitywireshark_stats_io_graphno sensitive capabilitywireshark_stats_protocol_hierarchyno sensitive capabilitywireshark_stats_service_response_timeno sensitive capabilitywireshark_text2pcap_importno sensitive capabilityCross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.1.5 latest |
A 93/100 | 1 | 1.9.0 | 2026-07-23 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
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