Proviesec/google-dorks: A Search Query Collection for Web Security

What Proviesec/google-dorks Covers

Proviesec/google-dorks is aimed at people performing web security research, including bug bounty participants who need to locate publicly indexed information through Google. Its purpose is reconnaissance by search: finding pages, files, exposed services and references that may be worth reviewing. The repository is organized into plain-text collections such as google-dorks-for-aws-s3.txt, google-dorks-for-env-files.txt, google-dorks-for-git-files.txt, google-dorks-for-kubernetes.txt, google-dorks-for-login.txt, google-dorks-for-monitoring.txt and google-dorks-for-sql-injection.txt. Other entries cover backup files, CI/CD, cloud platforms, databases, JavaScript secrets, monitoring, OpenAI, SendGrid, Slack, Swagger and web servers. The README also lists ideas for Drupal, Shopify, presentations, reports and GitHub pages, although its checklist marks several of those items as unfinished. This is a manually consulted reference, not a service with an API, scanner or persistent target database. The repository does not state that queries are validated against current Google behavior, and it does not provide a formal rule set for determining whether a result belongs to a permitted scope.

Google Operators Behind the Query Collection

The collection is built around Google's documented search syntax as presented in the README. Operators such as intext:, intitle:, inurl:, allinurl:, site: and filetype: narrow where a term appears, while exact quotation marks constrain the search phrase. The README also describes OR and AND combinations, inclusion with a plus sign, exclusion with a minus sign, wildcard patterns, approximate matching with a tilde and date filters such as before: and after:. A query can therefore combine a target domain with a filename or visible phrase, rather than relying on a single keyword. For example, the repository's introductory query looks for directory-index text and a parent-directory label. Other examples show how to search for site-specific admin text or restrict results to a domain. This is the central mechanism: Google returns pages matching the expression, and the researcher inspects those pages. There is no code path in the repository that fetches or validates the results. The README also includes links to exploit-db.com, nvd.nist.gov, cxsecurity.com, vulnerability-lab.com and writeups, but those references are not integrated into an automated workflow.

Repository Layout and Review Scope

Based on the repository layout, the main resource is a large set of topic-specific text files rather than an installable package. all-google-dorks.txt and best-google-dorks.txt appear to be broad collections, while the remaining files narrow the subject to technologies or data types. The cms/ directory and technology/ directory provide category-based organization, and finding-username-passwords/ suggests a separate collection focused on locating credential-related material. The README contains the explanatory operators and examples, while the text files are intended to be copied into Google searches. This separation has a practical advantage. A researcher can review only the file relevant to a cloud, CI/CD or database investigation instead of searching the whole collection. It also makes the content easy to audit as a list of expressions. The downside is that the repository gives little metadata about individual queries. The README does not document a syntax validation step, expected result counts, query freshness, false-positive handling or a supported Google result limit. There is also no indication that the files are generated from a structured dataset. Each expression should therefore be treated as a research lead, not as a maintained assertion that the indexed result is still present.

First Google Search

Use the exact introductory expression from the README:

intext:"index of" "parent directory"

Google should show pages that contain the quoted phrase and the words associated with a directory index. A result can be a stale index or an unrelated page, so open only an authorized result and inspect its context. The README gives this example of combining site restrictions with an intext search:

(site:instagram.com | site:twitter.com) & intext:"admin"

This searches for pages on the two specified domains that contain the exact admin term. The query itself does not prove a vulnerability. It only identifies pages for manual review.

Examples of Specialized Query Files

The file names provide a useful indication of the intended search surface. google-dorks-for-aws-s3.txt is relevant to searches concerning publicly indexed S3-related material, while google-dorks-for-env-files.txt targets search expressions involving environment files. google-dorks-for-github-actions.txt, google-dorks-for-ci-cd.txt and google-dorks-for-git-files.txt cover distinct repository and delivery artifacts, so they should not be treated as interchangeable categories. google-dorks-for-monitoring.txt and google-dorks-for-kibana.txt point toward monitoring-related pages, while google-dorks-for-swagger.txt, google-dorks-for-frameworks.txt and google-dorks-for-webserver.txt address technology and service-specific searches. The repository also contains entries for OpenAI, Anthropic, GCP, Firebase, MongoDB, SendGrid, Stripe, Slack, Mailgun and Twilio. Those names describe query themes, not confirmed integrations. The README does not explain whether each file is complete, whether queries are duplicated across files, or how they were selected. Before using a category file, inspect its actual contents and check the current asset scope. A query aimed at a public cloud or SaaS provider can still return third-party data, cached pages or unrelated documents.

Limits, False Positives and Authorization

The main limitation is the gap between a Google result and a confirmed security issue. Google may return an indexed but stale page, a public example, a documentation page, an unrelated file or a result whose contents have since changed. A query can also generate a large result set without establishing that the target is vulnerable. The repository does not claim that every expression is exclusive, current or safe to run. Searching for usernames, passwords, environment files or secrets also raises a data-handling concern: researchers may encounter sensitive material that should not be copied into tickets, logs or chat systems. The README asks contributors to avoid abuse, but its visible disclaimer is truncated after the words "Needless to mention, ple", so the visible README does not provide a complete operational safety policy. Authorization is therefore the controlling boundary. A bug bounty program's written scope, excluded asset list and rules on data retention take priority over a query's apparent usefulness. Do not download, modify or disclose data merely because a search result exposes it.

Alternatives and Maintenance Cost

The real alternative is not another keyword list with a similar name. It is using direct discovery and inventory mechanisms that do not depend on Google's index: authenticated asset inventories, cloud storage policy queries, source-control access controls, web-application logs, secret scanning in code that you are authorized to inspect, and vulnerability scanners that map findings to a defined target list. The difference in approach is important. Google Dorks can reveal accidentally indexed material across public web results, whereas inventory and scanning tools start from known assets and produce more structured evidence. A search-expression collection has no package upgrade path. The repository has no GitHub releases, and its last push was on 2026-07-25. The README displays an MIT license badge and links to the MIT license page, but no separate top-level LICENSE file is listed, so license details should be checked before redistribution. The content may also age as Google syntax, indexed files and cloud naming conventions change.

Editorial conclusion

Adopt this repository as a manual reconnaissance reference when you can review each result within an authorized scope. Do not treat it as a scanner or proof of a vulnerability, and verify scope, result provenance, file sensitivity and access controls before acting. The repository is a collection of search expressions rather than an application, so the first check is whether its queries fit the exact asset and data type you are authorized to inspect.

Frequently asked questions

Official sources

1. Issues
2. Proviesec/google-dorks on GitHub
3. README