veil
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Generates Metasploit payloads designed to bypass common anti-virus solutions.
Summary
Veil is a framework that generates Metasploit payloads designed to bypass common anti-virus solutions. Users can launch Veil through an interactive main menu via a command line, and the tool also provides options to show all CLI flags. From the command line, one can generate specific payloads, such as a Go meterpreter reverse TCPTCPA network protocol that delivers a reliable, ordered stream of bytes between two endpoints. It detects lost data and retransmits it. payload or an Ordnance reverse TCP shellcode.
Generates Metasploit payloads designed to bypass common anti-virus solutions.
How veil helps
Which payload formats will actually get past the anti-virus running on my target?
generates the payload through Metasploit's encoding pipeline and produces it in the language variant (Go, PowerShell, AutoIT, etc.) requested, but whether it evades a specific engine depends on that engine's current signatures and is not something the generation step confirms
Can I script payload generation into a larger toolchain instead of clicking through menus?
exposes every menu option as a command-line flag, so a specific payload, its options, and its output path can be requested in one call without the interactive menu
What options does a given payload type actually support before I generate it?
the interactive menu walks through the parameters for the selected payload (such as shellcode injection technique or process protection behavior) and only builds the file once those are set
Will a payload generated today behave differently from one built months ago against the same target?
payload behavior tracks the changelog's fixes to specific techniques (such as heap injection or memory protection handling), so two builds across versions can differ even with identical settings
Languages
Command line
| option | found in | since | description |
|---|
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 veil, 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 veil 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
Nothing shipped since we started watching. Releases and docs updates land here as they happen.
Project health
Issue, contributor and maintainer activity in Veil-Framework/Veil, 2023-10 – 2026-09, as of 2026-09-25. Twelve-month figures first; the trend lines run the whole window.
- Contributors 0 ±0 vs prior 12 months
- Maintainers 0 +0 joined · −0 left, last 12 months
- Bus factor 0 committers behind half the commits
- Community-filed not measured of issues opened, last 12 months
- Median time to close not measured issues closed, last 12 months
- Open backlog 64 of 410 issues ever filed
- Issues opened / month 0 · 0 communitymaintainers
- Open backlog 64
- Contributors / month 0
- Commits / month 0
- Stars 4,228
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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