cariddi
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Cariddi crawls URLs from a list of domains and scans for endpoints, secrets, API keys, file extensions, and tokens.
echo 'https://example.com' | cariddi -md 3 -s echo 'https://example.com' | cariddi -ie 'png,jpg,gif,svg,bmp,ttf,woff' -s cariddi -d example.com -sr cariddi --targets targets.txt --json | jq . cariddi -u https://target.com -insecure cariddi --url https://target.com --debug -o results.txt cariddi --url https://target.com --info -o info_leaks.txt
Summary
cariddi is an open-source command-line crawler that takes a list of domains and scans the URLs it finds for endpoints, secrets, API keys, tokens, and interesting file extensions. It runs as a single Go binary, installable via Homebrew, Snap, Pacman, or go install, which suits red teamers and bug bounty hunters doing recon rather than teams wanting a hosted dashboard. Its secret detection covers a wide range of providers, from AWS and Azure storage to OpenAI and Anthropic keys, and flags like -md for crawl depth and -ie to skip file extensions let it fit into CI pipelines without runaway scans. It sits in the reconnaissance space alongside other crawling and secret-scanning tools rather than replacing any single named one, and with 13 contributors and 34 commits in the past year across ten releases, it is actively maintained.
Cariddi crawls URLs from a list of domains and scans for endpoints, secrets, API keys, file extensions, and tokens.
How cariddi helps
Which of my domains are leaking API keys or cloud credentials right now?
crawls the URLs found under each domain and matches page content and responses against provider-specific patterns for AWS, Azure, GCP, OpenAI, Anthropic, and dozens of others, reporting the matched secret and the URL it was found on
What endpoints exist on this target that I never documented?
follows links discovered during the crawl and lists the distinct URLs and endpoints it reaches, giving a map of what is actually reachable rather than what is in a spec
Which pages on this site are throwing framework or database errors that reveal internals?
matches crawled responses against error-signature rules for Python, ASP.NET, and SQL Server, flagging pages that leak stack traces or technology details
Are any old backup, config, or source files still sitting exposed on this server?
flags URLs whose file extensions match interesting or sensitive types found during the crawl, surfacing files like configs or backups mixed in with normal pages
Can I run a secret-and-endpoint sweep across a target without it spiraling into an unbounded crawl in CI?
limits how many links deep the crawler follows from the initial target and skips chosen file extensions during scanning, keeping the sweep bounded for pipeline use
Did last week's crawl miss anything because a page loaded content dynamically?
expands the set of HTML selectors it inspects when parsing crawled pages, widening what counts as a discoverable endpoint or data point beyond plain links
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 cariddi, 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 cariddi 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
14 entries
No entries match these filters.
- March 20261
- November 20251
- September 20251
- April 20253
- July 20241
- June 20231
- March 20231
- September 20221
- May 20221
- October 20211
- September 20212
Project health
Issue, contributor and maintainer activity in edoardottt/cariddi, 2023-10 – 2026-09, as of 2026-09-25. Twelve-month figures first; the trend lines run the whole window.
- Contributors 1 −2 vs prior 12 months
- Maintainers 1 +0 joined · −0 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 < 1 day first maintainer reply 7.2 hours
- Open backlog 8 of 79 issues ever filed
- Issues opened / month 0 · 0 communitymaintainers
- Open backlog 8
- Contributors / month 0
- Commits / month 0
- Stars 3,772
- 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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