In today’s complex multicloud environments, ensuring that your cloud applications are protected and secure is critical. Application vulnerabilities are an inevitable byproduct of the growth of agile development techniques and can be tricky to spot and address. While these vulnerabilities aren’t anything new, the modular and distributed nature of modern software development introduces a new potential for application security risks. As a result, web app attacks are the fastest-growing attack vector according to a recent data breach investigations report.
Grouping by Root Cause
isn’t a new concept, but we wanted to call it out. Within the CWE hierarchy, there is a mix of Root Cause
weaknesses. After much thought, we focused on mapping primarily to Root Cause
categories as possible, understanding that sometimes it’s just going to be a Symptom
category because it isn’t classified by root cause in the data. A benefit of grouping by Root Cause
is that it can help with identification and remediation as well.
Vulnerable and outdated components
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It is critical to confirm identity and use strong authentication and session management to protect against business logic abuse. Most authentication attacks trace to continued use of passwords. Compromised credentials, botnets, and sophisticated tools provide an attractive ROI for automated attacks like credential stuffing. Open source now makes up about 70% of modern applications, and there are thousands of known vulnerabilities in open-source code. Numerous organizations offer databases of these weaknesses, such as the Snyk Intel Vulnerability Database.
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Software and data integrity failures relate to code and infrastructure
that does not protect against integrity violations. This is a wide ranging category that describes supply chain attacks,
compromised auto-update and use of untrusted components for example. A07 Software and Data Integrity Failures was a new category introduced in 2021
so there is little information available from the Cheat Sheets,
but this is sure to change for such an important threat.
Use a safe development life cycle with secure design patterns and components. Extend observability to pre-production environments to catch vulnerabilities early on. The Open Web Application Security Project (OWASP) is a nonprofit foundation that works to improve the security of software. OWASP maintains a variety of projects, including the Top 10 web application security risks standard awareness document for developers and security practitioners. The OWASP Top Ten
is a standard awareness document for developers and web application security. It represents a broad consensus about the most critical security risks to web applications.
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Application vulnerabilities are an inevitable byproduct of modern software development, but the OWASP Top 10 provides important lessons for mitigating application security risks. Referring to A10 Server-Side Request Forgery (SSRF), these vulnerabilities can occur
whenever a web application is fetching a remote resource without validating the user-supplied URL. These exploits allow an attacker to coerce the application to send a crafted request to an unexpected destination,
even when protected by a firewall, VPN, or another type of network access control list. Fetching a URL has become a common scenario for modern web applications and as a result the incidence of SSRF is increasing,
especially for cloud services and more complex application architectures.
- If you choose fast and light, it means you expect to be up quickly, traverse the ridge with speed, and be back down below the tree line well before the weather changes or darkness arrives.
- This service may include material from Agence France-Presse (AFP), APTN, Reuters, AAP, CNN and the BBC World Service which is copyright and cannot be reproduced.
- Open Source software exploits are behind many of the biggest security incidents.
- The latest version was issued in 2021 and each category is summarised below.
- There are three new categories, four categories with naming and scoping changes, and some consolidation in the Top 10 for 2021.
- We help IT and security professionals advance their careers with skills development and certifications while empowering all employees with security awareness and privacy training to stay cyber-safe at work and home.
At a high level, we plan to perform a level of data normalization; however, we will keep a version of the raw data contributed for future analysis. We will analyze the CWE distribution of the datasets and potentially reclassify some CWEs to consolidate them into larger buckets. We will carefully document all normalization actions taken so it is clear what has been done.
The preference is for contributions to be known; this immensely helps with the validation/quality/confidence of the data submitted. If the submitter prefers to have their data stored anonymously and even go as far as submitting the data anonymously, then it will have to be classified as “unverified” vs. “verified”. There are three new categories, four categories with naming and scoping changes, and some consolidation in the Top 10 for 2021. Globally recognized by developers as the first step towards more secure coding.
- 62k CWE maps have a CVSSv3 score, which is approximately half of the population in the data set.
- Often, the CVSS score on its own does not help prioritize as it is designed to score the worst-case scenario and assumes the vulnerability is exploitable.
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