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OWASP Developer Guide Checklist and Proactive Controls OWASP Foundation

For example, it wouldn’t be a good idea to implement this for a website like Facebook. While this technique can prevent the user from having to type a password (thus protecting against an average keylogger from stealing it), it is still considered a good idea to consider using both a password and TLS client authentication combined. TLS Client Authentication, also owasp controls known as two-way TLS authentication, consists of both, browser and server, sending their respective TLS certificates during the TLS handshake process. To do this, the server must provide the user with a certificate generated specifically for him, assigning values to the subject so that these can be used to determine what user the certificate should validate.

owasp controls

OAuth 2.0 relies on HTTPS for security and is currently used and implemented by APIs from companies such as Facebook, Google, Twitter, and Microsoft. OAuth 1.0a is more difficult to use because it requires the use of cryptographic libraries for digital signatures. However, since OAuth 1.0a does not rely on HTTPS for security, it can be more suited for higher-risk transactions. Rather than implementing a fixed lockout duration (e.g., ten minutes), some applications use an exponential lockout, where the lockout duration starts as a very short period (e.g., one second), but doubles after each failed login attempt. Error disclosure can also be used as a discrepancy factor, consult the error handling cheat sheet regarding the global handling of different errors in an application.

Handle All Errors and Exceptions¶

Access Control is one of the main areas of application security design that must be thoroughly designed up front, especially when addressing requirements like multi-tenancy and horizontal (data dependent) access control. Access Control, also known as Authorization — is mediating access to resources on the basis of identity and is generally policy-driven (although the policy may be implicit). It is the primary security service that concerns most software, with most of the other security services supporting it.

  • Any decisions related to the raw data submitted are documented and published to be open and transparent with how we normalized the data.
  • This begins with identifying the threats through activities such as threat modeling, determining responsibility within organizations to address the threats, as well as evaluating external factors such as service providers, software, and suppliers.
  • For runtime model theft, controls such as runtime model confidentiality (e.g. access control, encryption) and model obfuscation — making it difficult for attackers to understand the model in a deployed environment and extract insights to fuel their attacks.
  • The answer is with security controls such as authentication, identity proofing, session management, and so on.
  • Web applications can create sessions to keep track of anonymous users after the very first user request.

As described in Session_Expiration section, the web application must invalidate the session at least on server side. U2F augments password-based authentication using a hardware token (typically USB) that stores cryptographic authentication keys and uses them for signing. It provides protection against phishing by using the URL of the website to look up the stored authentication key. Without this countermeasure, an attacker may be able to execute sensitive transactions through a CSRF or XSS attack without needing to know the user’s current credentials. Additionally, an attacker may get temporary physical access to a user’s browser or steal their session ID to take over the user’s session.

Implement Proper Password Strength Controls¶

In 2017, we introduced using incidence rate instead to take a fresh look at the data and cleanly merge Tooling and HaT data with TaH data. The incidence rate asks what percentage of the application population had at least one instance of a vulnerability type. That’s irrelevant for our purposes; we just need to know how many applications had at least one instance, which helps provide a clearer view of the testing is findings across multiple testing types without drowning the data in high-frequency results. This corresponds to a risk related view as an attacker needs only one instance to attack an application successfully via the category.

Specific general controls include items such as minimizing data and fields that are unnecessary for an application to avoid potential leaks. It also includes ensuring only permitted and authorized data is used in model training activities or in AI systems and platforms. Additionally, data should have a defined lifecycle and not be retained or accessible longer than necessary to minimize risk. This includes assigning responsibilities for accountability around models and data, as well as risk governance. These efforts are aimed at ensuring that AI initiatives and use aren’t overlooked as part of broader information security management.

OWASP Proactive Control 4 — encode and escape data

Sessions are maintained on the server by a session identifier which can be passed back and forth between the client and server when transmitting and receiving requests. Sessions should be unique per user and computationally very difficult to predict. The Session Management Cheat Sheet contains further guidance on the best practices in this area. We get data from organizations that are testing vendors by trade, bug bounty vendors, and organizations that contribute internal testing data.

  • The session tokens should be handled by the web server if possible or generated via a cryptographically secure random number generator.
  • Lastly, the AI Exchange discusses the risk of leaking sensitive input data at runtime.
  • The recommendation is to use and implement OAuth 1.0a or OAuth 2.0 since the very first version (OAuth1.0) has been found to be vulnerable to session fixation.

In this iteration, we opened it up and just asked for data, with no restriction on CWEs. We asked for the number of applications tested for a given year (starting in 2017), and the number of applications with at least one instance of a CWE found in testing. This format allows us to track how prevalent each CWE is within the population of applications. We ignore frequency for our purposes; while it may be necessary for other situations, it only hides the actual prevalence in the application population. Whether an application has four instances of a CWE or 4,000 instances is not part of the calculation for the Top 10. We went from approximately 30 CWEs to almost 400 CWEs to analyze in the dataset.