maryam
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OWASPOWASPA nonprofit foundation that publishes open standards, guides, and ranked vulnerability lists—most famously the OWASP Top 10—giving cyber tools a vendor-neutral benchmark to test or report against. Maryam is a modular open-source framework based on OSINTOSINTOpen-source intelligence, collecting and analyzing information from publicly available sources. Investigators use it to learn about people, infrastructure or threats. and data gathering to harvest data from open sources and search engines.
maryam -m instagram <target_user_or_query> maryam -m stackoverflow <search_keyword> maryam --update-check false
Summary
maryam is an open-source OSINT framework, licensed under GPLv3, that harvests data from open sources and search engines for reconnaissance work. It runs as a command-line tool written in Python, installable via pip, with modules invoked through an -e flag for tasks like DNS search and brute-forcing, Google and YouTube queries, or exposing the same functions through a small web API. It's aimed at people doing footprinting and information-gathering ahead of an assessment, such as OSINT practitioners or red teamers building a target profile, rather than at teams monitoring their own external attack surfaceattack surfaceThe exposed systems, interfaces and access points an attacker could try to use. It includes internet-facing services as well as identities, software and other reachable resources.. Development is not active: first committed in 2019 with 30 contributors, but no commits in the past year and its last release over 700 days ago.
OWASP Maryam is a modular open-source framework based on OSINT and data gathering to harvest data from open sources and search engines.
How maryam helps
What DNS records and subdomains actually exist for this domain?
brute-forces and queries DNS against the target domain across multiple threads and returns the resolved records, with the option to dump the full result set as JSON
What has this organization exposed across search engines that I should fold into a target profile?
runs the same query against engines like Google and YouTube through their public search interfaces and returns the matched pages or videos for the practitioner to review
Which reconnaissance techniques do I have available for a given target type?
lists the framework's modules so a practitioner can see the harvesting and brute-forcing tasks already built rather than writing a new scraper
How do I fold this data-gathering into a script or another tool I'm running?
exposes the same modules over a small local web API, so a query can be issued over HTTP and the results consumed as JSON instead of read off a terminal
How do I get exhaustive results instead of a quick sample when profiling a domain?
takes an all-resources option that tells a module to exhaust its available sources rather than stopping at the first page of results
Languages
Command line
No command matches.
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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 maryam, 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 maryam 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
2 entries
No entries match these filters.
- March 20211
- January 20211
Project health
Issue, contributor and maintainer activity in saeeddhqan/Maryam, 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 1 of 130 issues ever filed
- Issues opened / month 0 · 0 communitymaintainers
- Open backlog 1
- Contributors / month 0
- Commits / month 0
- Stars 1,233
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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