donut-shellcode
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Generates position-independent shellcode that enables in-memory execution of VBScript, JScript, EXE, DLLDLLA Windows file format containing compiled code and data that multiple programs can load and share at runtime, letting cyber tools inject functionality into other processes or hook system calls., and .NET assemblies.
Summary
donut-shellcode is an open-source shellcode generator that turns VBScript, JScript, EXE, DLL, and .NET assembly files into position-independent code capable of running entirely in memory, optionally staged from an HTTP server or embedded in the loader itself. It runs as a command-line tool, with a Docker image available for building payloads without a local toolchain, and its module-overloading and PE-header mutation options are built for red teamers and penetration testers working on payload delivery and evasion rather than for defenders. It sits in the exploitation and code-injection space alongside other shellcode-generation and loader tooling used in offensive tradecraft. Development goes back to 2019 with 29 contributors, but there have been no commits in the past year and the last release shipped 667 days ago, so anyone adopting it should expect a stable but effectively dormant project.
Generates position-independent shellcode that enables in-memory execution of VBScript, JScript, EXE, DLL, and .NET assemblies.
How donut-shellcode helps
Which of my payload formats can I turn into shellcode that runs entirely in memory without touching disk?
takes a VBScript, JScript, EXE, DLL, or .NET assembly and converts it into position-independent code that loads and executes in memory, with the original file reference erased afterward to defeat memory scanners
How do I keep my payload out of the delivered artifact until execution time?
can generate the loader so the module is staged from an HTTP server at runtime instead of being embedded, so the file on disk carries no payload
Can I stop static analysis from reading my payload straight out of the shellcode?
encrypts the module with a randomly generated key using the Chaskey block cipher, so the content is not recoverable by inspecting the generated code
Will module overloading survive a check that looks for shellcode without a backing file on disk?
overlays the payload in memory backed by a decoy file on disk, and can rewrite the payload's PE headers to match that decoy so file-backed detections see a legitimate module
Do I need real relocation data or unbroken API resolution in the binaries I hand it?
works with binaries lacking relocation information or with edge-case relocation data, and falls back to its own replacement calls when the normal API resolution path is unavailable
Which output language do I need to fit into my existing tooling?
produces the shellcode as raw bytes or as C#, Python, or UUID-string source, so it drops into whichever loader or delivery script is already in use
Languages
Command line
| option | found in | since | description |
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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 donut-shellcode, 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 donut-shellcode 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
3 entries
No entries match these filters.
- March 20231
- December 20191
- September 20191
Project health
Issue, contributor and maintainer activity in TheWover/donut, 2023-10 – 2026-09, as of 2026-09-25. Twelve-month figures first; the trend lines run the whole window.
- Contributors 0 −1 vs prior 12 months
- Maintainers 0 +0 joined · −1 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 31 of 114 issues ever filed
- Issues opened / month 0 · 0 communitymaintainers
- Open backlog 31
- Contributors / month 0
- Commits / month 0
- Stars 4,703
- 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
Articles
3 articles · updated Nov 4, 2026Where donut-shellcode turns up in what others publish: how-tos, attack reports that name it, and incident write-ups. A row says why it is here and quotes where the article names it; the link goes to the publisher.
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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