dcfldd
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dcfldd is an enhanced version of GNU dd for forensics and security, adding on-the-fly hashing, status output, disk wiping, output verification, and multiple outputs.
./configure --with-bash-completion && make dcfldd if=input.img of=/dev/sdb diffwr=on
Summary
dcfldd is an open-source command-line disk-imaging tool, licensed under GPL-2+, that extends GNU dd with on-the-fly hashing of data as it is copied so investigators can verify integrity without a separate pass. It also reports transfer progress, wipes disks to a specified pattern, verifies a target against a source image bit-for-bit, and can write to multiple outputs or split them across files, which suits digital forensics practitioners handling disk acquisition rather than general system administrators. Its README describes it as an enhanced version of GNU dd rather than a break from it, and positions itself as the forensics-oriented alternative to plain dd. Originally built at the DoD Computer Forensics Laboratory and now maintained by volunteers, the project has had no commits in the past year and its last release was 445 days ago, so anyone adopting it should expect a slow-moving codebase.
dcfldd is an enhanced version of GNU dd for forensics and security, adding on-the-fly hashing, status output, disk wiping, output verification, and multiple outputs.
How dcfldd helps
Can I prove this disk image matches the original drive, bit for bit?
it hashes the data as it streams off the source and again as it lands on the destination, so the two digests can be compared without a separate verification pass
Is a wiped drive actually clean, or could data still be recovered?
it writes a specified pattern across every sector and can verify the result matches that pattern bit-for-bit, ruling out leftover fragments of the original data
Did every byte make it to all my backup copies during acquisition?
it writes to multiple output files or disks in the same pass, so each destination is a direct copy of what was read rather than a copy of a copy
Can I hand this disk image to a court or a second examiner without them just taking my word for it?
the hash computed during acquisition travels with the log, giving a fixed reference value anyone can recompute against the image later
How do I fit a large disk image onto smaller media or a size-limited filesystem?
it splits the output into multiple files as it writes, so the acquisition doesn't depend on a single file staying under a size limit
Languages
Command line
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Values are placeholders taken from each option’s declared default. Nothing is executed here — the output shown is a recording of a run that already happened.
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 dcfldd, 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 dcfldd 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.
Checking release-note history…
Releases
5 entries
No entries match these filters.
- August 20261
- October 20241
- February 20231
- October 20221
- November 20191
Project health
Issue, contributor and maintainer activity in resurrecting-open-source-projects/dcfldd, 2023-10 – 2026-09, as of 2026-09-25. Twelve-month figures first; the trend lines run the whole window.
- Contributors 0 −2 vs prior 12 months
- Maintainers 0 +0 joined · −2 left, last 12 months
- Bus factor 0 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 2 of 21 issues ever filed
- Issues opened / month 0 · 0 communitymaintainers
- Open backlog 2
- Contributors / month 0
- Commits / month 0
- Stars 128
- 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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