ssldump
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SSLv3/TLS network protocol analyzer that decodes records, decrypts connections with keying material, and outputs JSON with JA3JA3A method for fingerprinting TLS clients by hashing fields from the ClientHello message, producing a short string that identifies the TLS library or application making a connection regardless of IP or port. and FAN/1 fingerprints.
ssldump -J -i eth0 port 443 > traffic.json ssldump -k keys.pem -r capture.pcap ssldump -k keys.pem -r capture.pcap | grep server_name ssldump -i eth0 -l /tmp/nsslog.txt
Summary
ssldump is an open-source command-line network protocol analyzer for SSLv3/TLS traffic, and it is free to use. It runs against a chosen network interface (or a pcappcapA packet capture, recorded network packets that can be inspected later. Analysts use it to reconstruct communication and investigate protocol behavior or suspicious traffic. file), identifying TCPTCPA network protocol that delivers a reliable, ordered stream of bytes between two endpoints. It detects lost data and retransmits it. connections, decoding SSLv3/TLS records, and, given the right keying material, decrypting and displaying application data; it also outputs JSON with JA3 and passive FAN/1 fingerprints for ClientHello, ServerHello, and certificate messages. This makes it a fit for network analysts and incident responders working directly with packet capturespacket capturesA packet capture, recorded network packets that can be inspected later. Analysts use it to reconstruct communication and investigate protocol behavior or suspicious traffic. rather than dashboards. It sits in the packet-capture and protocol-analysis space alongside tools like tcpdump and Wireshark, but focused specifically on interpreting and decrypting TLS sessions. First committed in 2015 and still maintained, with 22 contributors and 38 commits in the past year, though its most recent release was over 21 months ago.
SSLv3/TLS network protocol analyzer that decodes records, decrypts connections with keying material, and outputs JSON with JA3 and FAN/1 fingerprints.
How ssldump helps
Which TLS sessions in this capture were actually established, and between whom?
scans the interface or pcap file for TCP connections and identifies which ones carry SSLv3/TLS traffic, printing each handshake as it decodes it
What did an encrypted session actually send, once I have the session keys?
given the matching keying material, decrypts the recorded traffic and prints the application data in text form alongside the handshake
Which clients or servers in this traffic match known TLS fingerprints?
computes JA3 and passive FAN/1 fingerprints from ClientHello, ServerHello, and certificate messages and writes them out as JSON for matching against fingerprint databases
Can I tell whether a captured session was TLS 1.3 rather than an older version?
parses the handshake records themselves and reports the negotiated version and cipher details, including TLS 1.3 sessions
Does a capture taken from a tunnel or non-Ethernet interface still show readable sessions?
reads raw IP captures without Layer 2 headers, so traffic pulled from tunnel interfaces still gets parsed into connections and records
Can I trust the timing of events when replaying an old capture?
uses the timestamps stored in the pcap file itself rather than the current clock, so replayed captures show the original session timing
Languages
Command line
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Score card
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Shipping velocity releases a month, last 12 months
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Documentation quality release-notes rubric, 0–100
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Breaking-change discipline how rarely a release breaks users, and notice given
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Maintenance risk quiet time against its own cadence, maintainers
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Innovation & surface new capabilities, API and MCP surface
- Community health
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Contributor trend distinct committers, this year against last
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Maintainer concentration bus factor now against a year ago
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Issue backlog trend issues closed per issue opened, 12 months
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Responsiveness median time to a maintainer’s first reply
Nine scores for ssldump, each built from the releases, notes and API history this site tracks — and, on Researcher and Business, where it stands among every measured tool in its category and how that has moved.
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Blank means never measured; nothing here is a filled-in zero.
Peer standings are included with Researcher and Business. See how this tool ranks against its competitors, using data we don't publish anywhere else.
See plans →Each score is 0–100 on a published rubric, derived from data this site already shows. A dimension we cannot measure says so — it is never scored 0 and never enters a rank.
How this is scored
- Shipping velocity — releases a month over the last 12 months, on a log scale where 16 a month scores 100. Needs 3 releases in the window.
- Documentation quality — the release-notes rubric published on the analytics page, unchanged.
- Breaking-change discipline — the share of releases carrying a breaking change (none scores 100, half or more scores 0). Only projects that label breaking changes are measured: a clean record cannot be told from an unlabelled one.
- Maintenance risk — quiet time measured against the tool's own release cadence (quiet longer than 90 days and three typical gaps scores 0), plus the number of active maintainers and whether contributors are growing, where known. Higher is lower risk.
- Innovation & surface — new capabilities in the feature ledger this year, API and MCP operations added, and the share of commits that are features: the mean of whichever we hold.
- Community health (open-source tools only) — each is a direction, not a size: contributors this year against last, the bus factor now against a year ago, and issues closed per issue opened, where steady scores 50, doubled 100 and halved 0; plus the median time to a maintainer's first reply (an hour scores about 100, a month or more 0). A commercial card has no repository and carries none of the four.
- Documented delivery (commercial tools) — when a vendor's documented new capabilities have slowed against its own baseline, that counts against the overall standing as heavily as two low dimensions. Steady delivery, or too little history to judge, leaves the standing alone; it is never a sixth score.
- Open-source tools are scored on repository signals; commercial tools on their published changelog. Ranks compare tools within one category and one profile and need at least five measured peers; the overall standing needs three ranked dimensions. Best-in-breed or consolidator is a shape, not a quality, and is never scored.
Release-note detail over time
See how much detail ssldump puts in its release notes, quarter by quarter, and compare it with tracked tools in the same category. This history uses up to ten retained, reviewed notes per tool; sparse or blank older quarters may reflect that limit.
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Releases
8 entries
No entries match these filters.
- November 20241
- August 20232
- April 20231
- May 20221
- February 20211
- September 20201
- May 20191
Project health
Issue, contributor and maintainer activity in adulau/ssldump, 2023-10 – 2026-09, as of 2026-09-25. Twelve-month figures first; the trend lines run the whole window.
- Contributors 1 −1 vs prior 12 months
- Maintainers 1 +1 joined · −1 left, last 12 months
- Bus factor 1 committers behind half the commits
- Community-filed 100% of issues opened, last 12 months
- Median time to close not measured issues closed, last 12 months
- Open backlog 18 of 40 issues ever filed
- Issues opened / month 0 · 0 communitymaintainers
- Open backlog 18
- Contributors / month 0
- Commits / month 0
- Stars 258
- other 100%
Counts from the project's public repository and git history; no individuals are identified. Maintainers are the committers covering 80% of the last year's commits. how we measure this
Libraries its release ships
What its latest release locks, checked against known advisories.None of its release's images build from a lockfile we can read.
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