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cheatsheetseries.owasp.org

Website with the collection of all the cheat sheets of the project.

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Introduction - OWASP Cheat Sheet Series Full homepage screenshot

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Language
English
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2001
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This review may include AI-generated content and is not individually verified. Domain, certificate and other facts come from the observed data on this page.

What is the OWASP Cheat Sheet Series?

The OWASP Cheat Sheet Series is a free, community-maintained collection of concise security guidance documents. Each "cheat sheet" tackles one specific topic — such as SQL injection prevention, password storage, or cross-site scripting defense — and distills it into practical rules a developer or reviewer can apply directly. The site is essentially an index: you pick the sheet matching your technology or risk, rather than reading it start to finish.

Who it's for and how it's used

  • Developers who need a concrete "do this, not that" reference while writing authentication, file upload, or session code.
  • Security reviewers and architects checking a design against established practice.
  • Teams building a secure coding checklist or onboarding material from individual sheets.

The collection is broad rather than deep. You'll find sheets organized by language and framework (Java, Django, Node.js, Laravel, Ruby on Rails), by vulnerability class (injection, CSRF, SSRF, deserialization), and by architecture topic (microservices, multi-tenant security, secrets management). Several index views — alphabetical, ASVS, MASVS, Proactive Controls, and Top 10 — let you navigate by standard instead of by name.

Trade-offs to keep in mind

Cheat sheets are deliberately short, so they give you the rule and the reasoning but not a full threat model or a tutorial. They also assume you already know the underlying technology. Treat them as a checklist and a starting point, then follow the references inside a sheet when you need depth. Because the project is community-edited, quality and currency vary by topic; check that a sheet still reflects the versions you actually run.

A practical next step

If you're starting a review, pick the index that matches your framework: go to the alphabetical index, find your stack (for example, Django Security or Node.js Security), and read the two or three sheets covering the areas you're touching. For a structured audit, the ASVS index maps sheets to verifiable requirements, which is more useful than browsing by title.

The project lives at OWASP Cheat Sheet Series, and the wider organization's material is at OWASP.

How can I use the OWASP Cheat Sheet Series to improve my application's security?

Use the OWASP Cheat Sheet Series as a topic-by-topic implementation reference, not as a single book to read end to end. Pick the sheets that match what your application actually does, turn their guidance into concrete tasks, and verify each one in code review or testing.

OWASP Cheat Sheet Series

H3 Practical ways to use it

  • Start from your stack and features. The index groups sheets by language, framework and concern, so you can go straight to entries like Django Security, NodeJS Security, Java Security or Laravel rather than reading generic advice.
  • Cover the common failure modes first. Sheets such as Cross Site Scripting Prevention, SQL Injection Prevention, Cross-Site Request Forgery Prevention, Authentication and Authorization address issues that affect most web applications.
  • Use it during design, not only after a finding. Sheets on Attack Surface Analysis, Secure Product Design, Threat Modeling-adjacent topics and Authorization Patterns help you make decisions before code exists.
  • Turn a sheet into a checklist for pull requests. For example, use Input Validation and Query Parameterization as review criteria for any code that handles user-supplied data.
  • Match sheets to modern components. If you use containers, CI/CD, APIs or AI features, there are dedicated sheets for Docker Security, CI CD Security, REST Security, GraphQL, LLM Prompt Injection Prevention and AI Agent Security.

H3 A concrete starting scenario

Suppose you maintain a Django app with a REST API, file uploads and a login system. A focused first pass might be:

  1. Django Security and REST Security for framework-level configuration.
  2. Authentication, Password Storage and Multifactor Authentication for the login flow.
  3. Authorization and Insecure Direct Object Reference Prevention for access checks on records.
  4. File Upload and Input Validation for anything users submit.
  5. Logging and Error Handling so failures are recorded without leaking internals.

Each sheet gives you specific controls; your job is to decide which apply and how to test them.

H3 How to choose what to read

Situation Useful sheet type Why
New feature or service Design and architecture sheets Cheaper to fix decisions early
Existing code review Language, framework and injection sheets Directly checkable in diffs
Incident or pen-test finding The specific vulnerability sheet Focused remediation steps
Cloud, containers, CI Infrastructure and deployment sheets Covers configuration outside app code
AI or LLM features AI-related sheets Addresses newer, less familiar risks

H3 Trade-offs to keep in mind

The series is broad and detailed, so trying to apply every sheet at once leads to shallow compliance rather than real improvement. Sheets are guidance, not a substitute for testing your own system, and some topics overlap or assume context that may not match your architecture. Treat each sheet as a starting point, adapt recommendations to your risk profile, and record where you deliberately deviate.

Next step: open the alphabetical or topical index, list the five sheets most relevant to your application, and convert each into two or three verifiable tasks with an owner and a test.

Which cheat sheet should I consult for preventing SQL injection?

Use the SQL Injection Prevention Cheat Sheet in the OWASP Cheat Sheet Series. It is the page in this collection dedicated to that exact problem, and it sits alongside related sheets such as Query Parameterization and Injection Prevention in Java if you need language-specific guidance.

A practical way to use it: start with the SQL Injection Prevention sheet for the core rules, then open the sheet for your stack (for example Java, .NET, Django, Rails or Node.js) to see how those rules map to your framework's database APIs and query builders. If you are reviewing an existing codebase rather than writing new code, pair it with the Secure Code Review sheet so you have a checklist for spotting string-concatenated queries and unsafe dynamic SQL.

Browse the full set at OWASP Cheat Sheet Series.

What are the best practices for securing a REST API according to OWASP?

OWASP's REST API security guidance centers on one idea: never trust the client, and enforce every rule on the server. The Cheat Sheet Series covers this in its REST Security and REST Assessment sheets, alongside topic sheets such as Authentication, Authorization, Input Validation, and JSON Web Token.

Core practices

  • Use HTTPS everywhere. Reject plain HTTP and avoid redirects that leak credentials. Apply HSTS so clients cannot be downgraded.
  • Authenticate with tokens, not sessions. OAuth 2.0 bearer tokens or signed JWTs are typical; validate signature, issuer, audience, and expiry on every request. Never accept a token the API itself did not verify.
  • Authorize per resource, not per endpoint. Check that the caller may act on the specific object (this is the Insecure Direct Object Reference problem), and apply this consistently, including nested and bulk operations.
  • Validate and constrain input. Use allowlists, schema validation, and strict typing. Query parameterization prevents injection in database calls; output encoding prevents it in responses.
  • Set explicit HTTP headers. Content-Security-Policy, X-Content-Type-Options, and a restrictive CORS policy matter when browsers call the API. Avoid wildcard origins with credentials.
  • Return minimal data and generic errors. Don't leak stack traces, internal IDs, or version details. Use consistent error shapes without revealing whether a username exists.
  • Rate limit and monitor. Throttle by identity and IP to blunt credential stuffing and abuse, and log security-relevant events without recording secrets or full tokens.
  • Manage secrets and keys properly. Rotate signing keys, keep them out of source control, and plan for algorithm changes (including post-quantum migration guidance).

Where to start

If you are auditing an existing API, work through the REST Assessment sheet as a checklist before reading the defensive sheets. For a new build, pick the sheets matching your stack — for example Django REST Framework, FastAPI Security, Laravel, or Node.js — since they translate the general rules into framework-specific configuration. The OWASP Cheat Sheet Series OWASP Cheat Sheet Series is the canonical index; the companion project OWASP hosts the API Security Top 10, which is useful for prioritising the risks above.

A practical decision rule: if a control can be bypassed by editing a request in a proxy, it belongs on the server. Client-side checks are usability aids, not security boundaries.

How do I implement authentication and authorization securely using OWASP guidelines?

Start with a clear split: authentication proves who the user is; authorization decides what that proven user may do. OWASP's Cheat Sheet Series treats them as separate design problems, and most real-world breaches come from confusing the two—or from checking identity once and then trusting the client for everything else. OWASP Cheat Sheet Series

Authentication: get the fundamentals right

The site's Authentication and Password Storage sheets are the core starting points. Practical steps:

  • Store passwords with a modern, memory-hard hashing algorithm and a per-user salt; never reversible encryption.
  • Offer multi-factor authentication, and prefer phishing-resistant methods such as passkeys where your user base supports them.
  • Protect the login flow itself: rate-limit and lock out credential-stuffing attempts, use generic error messages, and secure the forgot-password path with single-use, expiring tokens.
  • Manage sessions explicitly—rotate session identifiers on login, set sensible timeouts, and use secure cookie attributes.

The site also covers Multifactor Authentication, Credential Stuffing Prevention, Forgot Password and Session-related guidance as separate sheets, so you can go deep on whichever piece you are building.

Authorization: enforce it on the server, every time

The Authorization, Authorization Testing Automation and Insecure Direct Object Reference Prevention sheets are the relevant ones here. The recurring theme:

  • Never rely on hidden UI elements or client-side checks; every request must be authorized server-side against the authenticated identity.
  • Check authorization at the level of the specific object or record being accessed, not just the endpoint—this is exactly what IDOR prevention addresses.
  • Centralize policy decisions rather than scattering ad hoc if user.role == admin checks across the codebase.
  • Test authorization with automation, including regression tests, because permission bugs reappear easily as features change.

Where the two meet

Tokens and sessions are the bridge. The JSON Web Token, OAuth2 and SAML Security sheets cover how identity claims travel between systems. Treat any token as a credential: validate signatures, check expiry and audience, and avoid putting sensitive data in readable claims.

Concern Authentication sheets Authorization sheets
Core question Who is this? What may they do?
Typical failure Weak password storage, no MFA, session fixation Missing server-side checks, IDOR, role confusion
Where to enforce Login and session layer Every request, at object level
Testing focus Credential stuffing, reset flows Regression and automation tests

A useful next step: pick the two or three sheets matching your stack—for example, Authentication plus Authorization plus Insecure Direct Object Reference Prevention—and turn each recommendation into a checklist item in your code review. If you use a framework, the language-specific sheets (Django, Rails, Node.js, Java and similar) translate the same principles into concrete configuration.

What are the OWASP recommendations for securing a CI/CD pipeline?

For CI/CD, the OWASP Cheat Sheet Series points to its dedicated CI CD Security cheat sheet, which is where the project collects its concrete recommendations. Rather than one master rule, the guidance is a set of controls applied across the pipeline's stages: protecting the build environment, controlling who and what can change code, and limiting the damage if a step is compromised.

What the guidance generally emphasizes

  • Keep secrets out of the pipeline. Prefer short-lived, scoped credentials from a secrets manager over long-lived tokens stored in build variables. See the Secrets Management and Key Management cheat sheets.
  • Pin and verify dependencies. Use lockfiles, integrity hashes and a software bill of materials so a swapped or typosquatted package can't slip into a build. The Dependency Graph SBOM and NPM Security sheets cover this.
  • Harden the build runners. Treat build agents as untrusted, minimize installed tooling, and isolate jobs so one pipeline can't read another's artifacts.
  • Restrict pipeline permissions. Apply least privilege to CI tokens, require review for changes to workflow files, and separate duties between who writes code and who can deploy.
  • Secure the supply chain around the build. Sign artifacts, verify provenance, and scan container images and IaC before deployment (Docker Security, Infrastructure as Code Security).
  • Log and monitor. Keep an audit trail of pipeline events and alert on unusual triggers or permission changes (Logging, Logging Vocabulary).

A practical next step

If you are setting this up for a small team, start with two changes: move every deployment credential into a secrets manager with short expiry, and require human review for edits to pipeline configuration files. Those two controls block the most common CI/CD attack paths — stolen tokens and malicious workflow edits — before you invest in artifact signing or SBOM tooling.

Choosing where to focus

If your risk is… Prioritize…
Leaked deploy tokens Secrets Management, short-lived credentials
Malicious dependency Dependency pinning, SBOM, NPM Security
Compromised build agent Runner hardening, job isolation
Unauthorized deploy Least privilege, review of pipeline config
Untraceable changes Logging, artifact signing, provenance

The full set lives at OWASP Cheat Sheet Series, where the CI CD Security sheet sits alongside the related sheets above so you can read them as one connected set rather than isolated checklists.

Related questions

More questions →
What Can an Amazon Seller Browser Extension Actually Do for Your Listings?

An Amazon seller browser extension is a small piece of software that runs inside Chrome, Edge, or Firefox and adds information or shortcuts directly onto Amazon pages you already visit. In practice, it can overlay demand and competition data on a product page, pull quick numbers while you browse a niche, flag missing or weak listing elements, and save you from switching between tabs. What it cannot do is replace a full listing engineering or growth platform: extensions are lightweight, page-level helpers, while serious listing work — keyword architecture, AI-readiness, bulk optimization, and performance tracking over time — needs a dedicated toolset. The useful question is not "extension or platform" but "which jobs belong to each."

What a browser extension typically does well

Most seller extensions cluster around a few repeatable, on-page tasks. If your workflow involves a lot of browsing, these are where the time savings are real.

On-page data overlays

While you're on a product detail page, the extension can display estimated sales, revenue, review velocity, seller count, and price history in a panel next to the listing. This turns "open a separate research tab and paste the ASIN" into "read the number where you already are." For quick sanity checks on a competitor or a potential product, that's a genuine speed gain.

Quick product and niche research

Extensions often let you scan a search results page and see metrics for every listing at once, or export a batch of ASINs. This is useful for early filtering: you can spot which results have thin review counts, unstable pricing, or a dominant seller, and decide which few are worth deeper analysis.

Listing checks and basic audits

Some extensions highlight on-page elements — title length, bullet presence, image count, whether A+ content appears, whether key fields look empty. This is a fast visual audit, not a scoring system. It tells you what's there, not whether your listing is engineered to match how Amazon discovery works now.

Convenience features

Coupon and deal finders, price-drop alerts, review-request shortcuts, and quick links to seller tools fall into this bucket. They're small quality-of-life wins rather than strategy.

Where extensions fall short

This is the part sellers most often underestimate. An extension sees the page in front of you; it doesn't hold your catalog, your history, or your strategy.

Job Browser extension Full listing/growth platform
On-page competitor snapshot Yes, fast Yes, often deeper
Keyword architecture across a listing No Yes
AI-readiness / discovery optimization Rarely Core function
Bulk edits across many ASINs No Yes
Tracking your own listings over time Limited Yes
Historical trend and seasonality Usually shallow Yes
Team workflows and permissions No Yes

The pattern: extensions are read-and-react tools for pages you're already on. Platforms are build-and-manage tools for your own catalog. If your bottleneck is "I need to know if this niche is worth entering," an extension helps. If your bottleneck is "my listings aren't converting or aren't being surfaced the way Amazon discovery now works," an extension won't fix that — you need listing engineering, not a data overlay.

Scenarios: when an extension earns its place

  • Early product research. You're scanning dozens of search pages a day. An overlay that shows demand and competition inline saves hours of tab-switching. Worth it.
  • Competitor spot-checks. You want a fast read on a rival's pricing and review momentum before a pricing decision. An extension gives you that in seconds.
  • Quick listing sanity checks. You're about to publish and want to confirm images, bullets, and title are all present. A visual audit extension is handy.
  • Ongoing listing optimization. You need to align titles, bullets, and backend terms with how Amazon's discovery systems interpret intent, and to keep that consistent across a catalog. This is platform territory — an extension can't hold or apply that structure.
  • Scaling a catalog. Once you're managing many ASINs, bulk operations, version history, and team access matter more than any single-page overlay.

What to check before installing any extension

Extensions can read the pages you visit, and some request broad permissions. Before you install:

  1. Read the permission list. Does it need access to all sites, or only Amazon domains? Broader access than the job requires is a yellow flag.
  2. Check what data leaves your browser. Does it send your browsing or seller data to a server? Is that disclosed?
  3. Confirm the vendor. Prefer extensions from established sellers/tool providers with a real product behind them, not anonymous one-off add-ons.
  4. Test on a non-critical account first. If it touches your Seller Central session, verify behavior before relying on it.
  5. Know the exit. Can you disable it cleanly, and does uninstalling remove stored data?

How to decide if it fits your stage

Ask three questions:

  • Is my main pain "I browse a lot and want data inline"? An extension is likely worth it.
  • Is my main pain "my listings underperform and I need to engineer them properly"? Skip the extension-first mindset; look at a listing/growth platform.
  • Am I managing more than a handful of ASINs? You'll outgrow page-level tools quickly; extensions become a supplement, not the system.

A practical setup for many sellers is both: an extension for fast on-page research, and a dedicated platform for the listing work that actually moves rankings and conversion. ZonGuru, for example, positions its toolset around listing engineering and AI-readiness rather than page overlays — the kind of work an extension structurally can't do. If you want to see where a full platform picks up, its pricing page outlines the options, and there's a free trial to test the workflow before committing.

The short version: a browser extension is a fast, cheap way to see more while you browse. It is not a listing strategy. Use it for the browsing jobs, and bring in a real platform for the engineering jobs — that division is what keeps your time and your listings both working.

Website Overview

An established domain and managed infrastructure suggest continuity of operations and may support dependable delivery, although neither guarantees service quality.

Domain and Registration

Registered in 2001, this domain has about 25 years of history. That suggests continuity, although ownership and purpose may have changed. Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The registrar is GoDaddy.com, LLC, a widely used domain service provider. The domain uses the common .org extension, which is not an independent safety signal.

DNS and Email

Nameservers are provided by Cloudflare, indicating managed DNS hosting. MX records point to the Google Workspace email service. No CNAME was found; the observed records resolve directly to addresses. SPF and DMARC are configured. DKIM status is unknown. TXT records include verification markers for Google, Atlassian, Microsoft. Such markers may also remain after a service stops being used.

TLS and Certificates

The public key uses EC with 256 bits. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued within the Google Trust Services cloud or CDN ecosystem. The certificate's total validity is about 90 days, consistent with a short renewal cycle.

HTTP and Browser Security

The checked browser-security headers were not detected, leaving fewer explicit browser-side safeguards. CORS permits any origin to read this response. This is common for public resources; sensitive responses need narrower handling. No X-Powered-By header was found, reducing one common source of backend fingerprinting information. The cf-ray, x-cache, x-served-by, via response header indicates a CDN or caching proxy in the delivery path. No obvious internal addresses or debug information were found in the headers.

Technology Stack Analysis

The public page identifies mkdocs-1.6.1, mkdocs-material-9.7.7, Cloudflare, Fastly without precise versions, leaving fewer clues for version-specific scanning.

Search and Social Sharing

The Generator tag identifies mkdocs-1.6.1, mkdocs-material-9.7.7, making the publishing system easier to fingerprint. No Open Graph metadata was detected, so social previews may depend on platform inference. The title has 39 characters, within a common display range. A meta description is present, with 67 characters. The observed directives allow indexing and link following.

Hosting and Email

DNSCloudflare
HostingFastly
EmailGoogle Workspace
Approximate IP geolocation (inferred; a CDN or proxy may differ from the origin server) Location unknown Inferred 104.20.44.163

Registration details

RDAP / WHOIS

RegistrarGoDaddy.com, LLC
Registered2001-09-21
Expires2031-09-21
Domain statusclient delete prohibited、client renew prohibited、client transfer prohibited、client update prohibited
Nameserversfay.ns.cloudflare.com、west.ns.cloudflare.com
DNSSECunsigned

DNS records

DNS

TypeNameValueTTLPriority
Acheatsheetseries.owasp.org104.20.44.163192—
Acheatsheetseries.owasp.org172.66.157.115192—
AAAAcheatsheetseries.owasp.org2606:4700:10::6814:2ca3300—
AAAAcheatsheetseries.owasp.org2606:4700:10::ac42:9d73300—
MXowasp.orgaspmx.l.google.com3001
MXowasp.orgalt1.aspmx.l.google.com3005
MXowasp.orgalt2.aspmx.l.google.com3005
MXowasp.orgalt3.aspmx.l.google.com30010
MXowasp.orgalt4.aspmx.l.google.com30010
NSowasp.orgfay.ns.cloudflare.com86400—
NSowasp.orgwest.ns.cloudflare.com86400—
TXTowasp.orgMS=ms73859685300—
TXTowasp.orgRrGYbfHtHhF55ld5k5Rw87iuBu7wAWOX4GR9zffrTh4=300—
TXTowasp.orgatlassian-domain-verification=BhaFKFKoRcW20xvi6UJ3U0CKocKOCgLH6LSuiBYPQ5A53cSCUN6gcbzcKSOmlVGs300—
TXTowasp.orggoogle-site-verification=1zT9Of9pBuTj1rgeGCxMbya3iQQMxFE9-DzUBhftUVQ300—
TXTowasp.orggoogle-site-verification=I9qx_X9EKlR_rfceG25-iXHBXJvLrmeNbkEdy182iI300—
TXTowasp.orggoogle-site-verification=_slXlbOCopK1Ss9VQEoxdsNxpScVKvXVB_JtPpyL3eQ300—
TXTowasp.orggoogle-site-verification=hJ9eCIFoexfh1sb-WVBkVB5PEND3JiaojOVyaNpyWK8300—
TXTowasp.orggoogle-site-verification=kmxuuCvLW4gII8YaV-3ilTOLUvjZa3uaipm0tmpVGpU300—
TXTowasp.orggoogle-site-verification=ubHJGF1N2ylOhYxQnIzEIIFaqUodqsIdTLXF-rCX9ps300—
TXTowasp.orgv=spf1 include:_spf.google.com include:servers.mcsv.net include:amazonses.com -all300—
DMARC_dmarc.owasp.orgv=DMARC1; p=quarantine; rua=mailto:[email protected],mailto:[email protected]300—

TLS and certificates

TLS / SSL

AssessmentNormal configuration
Supported protocolsTLSv1.2、TLSv1.3
Negotiated protocolTLSv1.3
Certificate subjectowasp.org
IssuerGoogle Trust Services
Valid until2026-12-04T06:47 · Remaining when checked: 61 days
Verification detailsCertificate trust: Passed · Hostname match: Passed

HTTP response headers

HTTP

HeaderValue
content-typetext/html; charset=utf-8
cache-controlmax-age=600
servercloudflare
access-control-allow-origin*

Identified technologies

mkdocs-1.6.1, mkdocs-material-9.7.7CloudflareFastly

Pages, Search and Sharing

Meta descriptionWebsite with the collection of all the cheat sheets of the project.
Canonical URLhttps://cheatsheetseries.owasp.org/index.html
LanguageEnglish (default)
Twitter CardNot detected

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