In the past few years, AI has made its way into the developer’s toolkit in a big way. Tools like GitHub Copilot, ChatGPT, and various AI code assistants promise to boost productivity, automate tedious tasks, and even catch security flaws. But as we welcome these powerful new capabilities, a fundamental question looms over the application security (AppSec) world:

Can AI truly help us write secure code, or is it just making it easier to ship insecure code faster?

Let’s dig into both sides of the equation.

Table of Content

1. The Productivity Boom: AI as a Coding Co-Pilot
2. But Speed Isn’t Always a Good Thing
3. The Real Solution: Human-AI Collaboration
4. What Developers Can Do Today
5. So… Can AI Secure Code?

The Productivity Boom: AI as a Coding Co-Pilot

There’s no doubt AI tools are helping developers move faster. Ask an AI to scaffold a REST API, convert a SQL query, or even write a regex pattern, and you’ll get a fairly solid response in seconds. For junior devs especially, this can be a massive learning accelerant.

AI-assisted coding has the potential to reduce cognitive load and improve consistency in common tasks—two factors that often contribute to security flaws when developers are under pressure or context-switching frequently.

Some AI tools also have built-in security awareness. They can flag common vulnerabilities like SQL injection or hardcoded secrets. Static analysis engines powered by machine learning are also getting better at spotting insecure patterns in vast codebases.

So, yes—AI can absolutely assist in writing more secure code, especially when paired with proper guardrails.

But Speed Isn’t Always a Good Thing

Here’s where the other side of the coin comes into view.

The same AI that helps you write code quickly can also help you generate vulnerable code just as fast—if not faster.

Why? Because AI doesn’t understand security the way a human does. It doesn’t reason about threats, or know the context of your specific application. It generates code based on patterns it has seen, including insecure or outdated ones from public code repositories.

There have already been multiple documented cases where AI-generated code included:

• SQL injections from unsanitized inputs
• Cross-site scripting (XSS) vulnerabilities
• Improper use of cryptographic functions
• Hardcoded secrets or keys
• Broken authentication logic

In short, AI lacks the security intuition of an experienced developer or AppSec engineer. It doesn’t ask: “What could go wrong?” It just completes the pattern.

The Real Solution: Human-AI Collaboration

The future isn’t about replacing developers or AppSec teams with AI—it’s about augmenting them. Here’s what that looks like:

• AI suggests code based on patterns
• Developers review suggestions with a critical eye
• Security teams integrate automated scanning and threat modeling into the pipeline
• Secure defaults and policies are baked into the tools from the start

Some newer tools are already moving in this direction. For example, AI systems trained specifically on secure codebases or that integrate with SAST/DAST tools are becoming more common. Others include “explainability” features, helping developers understand why something might be insecure.

What Developers Can Do Today

While the tooling evolves, there are practical steps every developer can take:

1. Treat AI-generated code like any other third-party code—review it carefully.
2. Use AI for suggestions, not decisions. You’re still in the driver’s seat.
3. Pair AI tools with automated security scans. Don’t rely on one layer of defense.
4. Invest in security training. Even with AI, the developer’s intuition is the last line of defense.
5. Stay updated on known AI limitations. Understanding where these tools struggle helps you use them more effectively.

So… Can AI Secure Code?

The answer, like most things in tech, is nuanced.

AI can help write more secure code—when used thoughtfully.
It can also write insecure code faster—when used carelessly.

The key lies not in the tool itself, but in how we wield it. If we treat AI as a shortcut to ship faster without accountability, we’ll see security debt balloon. But if we treat it as an assistant—one that still requires human oversight and security awareness—we can actually reduce vulnerabilities and empower dev teams.

The tools are getting smarter. But security still starts with us.

APIs are the backbone of modern applications, powering everything from mobile apps to enterprise integrations. But with great power comes great responsibility – especially when it comes to security. The OWASP API Top 10 outlines the most critical API vulnerabilities that attackers exploit. Fortunately, DAST can help you identify and fix these issues before they become breaches. Let’s dive into the OWASP API Top 10 and see how DAST plays a crucial role in preventing API security disasters.

Table of Content

1. Broken Object Level Authorization (BOLA)
2. Broken User Authentication
3. Excessive Data Exposure
4. Lack of Resources & Rate Limiting
5. Broken Function Level Authorization
6. Mass Assignment
7. Security Misconfiguration
8. Injection Attacks
9. Improper Asset Management
10. Insufficient Logging & Monitoring
11. Why DAST is Essential for API Security
12. Final Thoughts

1. Broken Object Level Authorization (BOLA)

One of the most common and dangerous API vulnerabilities, BOLA occurs when an API allows users to access objects they shouldn’t be authorized to see. Attackers manipulate API requests by changing object IDs in order to access or modify data belonging to other users. This flaw arises when applications fail to properly enforce authorization at the object level, leading to potential data breaches and leaks of sensitive information.

DAST tools simulate real-world attacks to test for broken object-level authorization. By analyzing API request and response patterns, DAST identifies endpoints that expose unauthorized data. Through automated testing, organizations can detect and remediate BOLA vulnerabilities before attackers can exploit them, ensuring strict access control measures are enforced at every level.

2. Broken User Authentication

Authentication mechanisms ensure that only legitimate users can access an API, but weak implementations can allow attackers to bypass these controls. Issues like weak passwords, missing multi-factor authentication (MFA), exposed API keys, and improper session management can lead to account takeovers and unauthorized access. Attackers often exploit these weaknesses through credential stuffing, brute force attacks, and token hijacking.

DAST tools assess API authentication by simulating various attack techniques to detect vulnerabilities. They test for insecure login endpoints, improper session expiration, and missing security best practices like rate limiting on authentication requests. By identifying these weaknesses early, DAST helps organizations strengthen their authentication mechanisms and prevent unauthorized access.

3. Excessive Data Exposure

Many APIs return more data than necessary, making it easy for attackers to extract sensitive information. Instead of filtering responses based on user permissions, APIs often expose full database records, relying on front-end applications to hide unnecessary fields. This approach can lead to the accidental exposure of personally identifiable information (PII), financial records, or confidential business data.

DAST scans API responses to identify instances where excessive data is returned. By analyzing what information is included in responses, security teams can enforce data minimization principles, ensuring that only essential data is exposed. This reduces the attack surface and prevents attackers from exploiting leaked information.

4. Lack of Resources & Rate Limiting

APIs without proper rate limiting and resource controls are susceptible to denial-of-service (DoS) attacks, excessive data scraping, and abuse. Attackers can send a high volume of requests to overload the API, disrupting service availability. Without proper constraints, even authenticated users can abuse an API by making excessive calls to extract large amounts of data.

DAST tools test APIs for rate-limiting enforcement by simulating automated attacks that flood endpoints with requests. By identifying APIs that fail to implement proper resource limits, organizations can introduce protections like request throttling, user quotas, and adaptive security measures to mitigate abuse and ensure service reliability.

5. Broken Function Level Authorization

Function-level authorization controls determine which users can perform specific actions within an API. Weak enforcement of these controls can allow attackers to escalate privileges, gaining access to administrative functions or performing unauthorized operations. This vulnerability is particularly dangerous in multi-user environments, where users have different levels of access.

DAST tools evaluate API endpoints for improper role-based access control (RBAC) enforcement. By mimicking privilege escalation attempts, these tools help detect flaws in access control logic. Strengthening function-level authorization ensures that users can only perform actions aligned with their roles, preventing unauthorized activities and potential security breaches.

6. Mass Assignment

Mass assignment vulnerabilities occur when APIs allow users to update object properties without proper validation. Attackers can exploit this by modifying sensitive fields, such as user roles, account statuses, or pricing information, leading to unauthorized access or data manipulation. This happens when developers unintentionally expose internal object fields that should not be directly controlled by users.

DAST tools detect mass assignment risks by sending unexpected input variations to API endpoints. By analyzing how the API processes user-supplied data, security teams can identify improperly exposed fields and enforce stricter validation mechanisms. Implementing an allowlist approach, where only explicitly defined properties can be updated, helps mitigate this vulnerability.

7. Security Misconfiguration

Improper API configurations can expose sensitive data, enable debugging modes, or lack essential security headers. These misconfigurations often result from default settings, poor deployment practices, or incomplete security hardening. Attackers exploit these weaknesses to extract information about the API, identify attack vectors, or directly compromise systems.

DAST tools help identify security misconfigurations by scanning API responses for missing security headers, exposed error messages, and unprotected debug endpoints. By continuously testing API configurations, organizations can enforce best practices, remove unnecessary features, and ensure secure deployment settings.

8. Injection Attacks

Injection vulnerabilities occur when user-supplied data is improperly handled, allowing attackers to execute malicious code within an API. Common types include SQL injection, NoSQL injection, and command injection. These attacks can compromise databases, leak sensitive data, and even allow remote code execution.

DAST tools detect injection vulnerabilities by sending malicious payloads to API endpoints and analyzing responses for anomalies. By testing how APIs handle user input, DAST helps developers implement proper input validation, escaping mechanisms, and parameterized queries to prevent exploitation.

9. Improper Asset Management

APIs often have outdated, undocumented, or shadow endpoints that attackers can exploit. Poor asset management can lead to exposure of legacy APIs with unpatched vulnerabilities, increasing the attack surface. Developers may forget to deprecate old versions or leave test APIs exposed, unknowingly providing entry points for attackers.

DAST tools help organizations discover all accessible API endpoints, including forgotten or undocumented ones. By mapping API assets, security teams can identify outdated endpoints, enforce proper deprecation policies, and limit exposure to only necessary services, reducing the likelihood of exploitation.

10. Insufficient Logging & Monitoring

Without proper logging and monitoring, organizations lack visibility into API attacks and suspicious activities. This allows attackers to operate undetected, making it difficult to respond to breaches or track malicious behavior. A lack of proper alerting mechanisms further delays incident response, increasing potential damage.

While DAST does not log attacks directly, it helps identify gaps in API security that should be logged and monitored. Organizations can use insights from DAST tests to improve logging practices, set up real-time monitoring, and establish alerting mechanisms. Combining DAST with Security Information and Event Management (SIEM) solutions ensures rapid detection and response to API threats.

Why DAST is Essential for API Security

Unlike static testing methods, DAST interacts with your running API like an attacker would. It identifies real-world vulnerabilities in real time, ensuring that security flaws are caught before they reach production. By integrating DAST into your CI/CD pipeline, you can continuously test your APIs against OWASP API Top 10 threats and fix vulnerabilities before they become security nightmares.

Final Thoughts

APIs are high-value targets for attackers, and the OWASP API Top 10 highlights the most dangerous vulnerabilities lurking in your applications. With DAST, you gain an automated, attacker’s-eye view of your API security posture – helping you proactively fix issues before they become breaches. Don’t wait for a security disaster – secure your APIs with DAST today!

Let’s face it: security testing isn’t the most thrilling topic to bring up at a dinner party (unless your dinner guests are cybersecurity nerds, in which case, carry on). Yet, as apps evolve faster than ever, keeping them secure is non-negotiable. Enter Dynamic Application Security Testing (DAST). It’s like having a sharp-eyed detective who scans your application from the outside, hunting for vulnerabilities before the bad guys find them.

But somewhere along the way, DAST picked up some baggage—myths, misconceptions, and plenty of head-shaking misunderstandings. Today, we’re rolling up our sleeves to debunk the top three: speed, accuracy, and the infamous false positives. Buckle up.

Table of Content

1. DAST is too slow. I’ll be retired before it finishes!
2. DAST isn’t accurate. It finds vulnerabilities that don’t exist.
3. False positives are the biggest problem with DAST.
4. Why These Myths Persist
5. Wrapping It Up

Myth #1: “DAST is too slow. I’ll be retired before it finishes!”

Ah yes, the classic complaint. Back in the day, running a DAST scan felt a bit like waiting for your friend to “quickly” grab something from inside (you know it’s never quick). Older DAST solutions were notorious for long scan times, especially on sprawling applications with layers upon layers of complexity. Developers grew frustrated; deadlines loomed, and security scans felt like an unwelcome roadblock.

Fast forward to today: modern DAST tools have taken a shot of espresso (figuratively) and now run at impressive speeds. Advances in scanning technology, intelligent crawling, and the ability to focus scans on specific sections of an application mean you’re no longer twiddling your thumbs. Think minutes or hours instead of days.

And let’s be honest: What’s worse—spending a couple of hours running a scan or spending weeks cleaning up after a breach? Security might slow you down for a coffee break, but a data breach could cost you your job (and your company’s reputation). Perspective matters.

Myth #2: “DAST isn’t accurate. It finds vulnerabilities that don’t exist.”

Picture this: You get an alert saying your application has a critical vulnerability. Panic sets in, coffee is spilled, and your team drops everything to investigate… only to find it was a false alarm. False positives are like smoke alarms that go off when you make toast—annoying and disruptive.

The myth that DAST is a false-positive factory isn’t entirely unfounded; older tools often flagged everything that even vaguely resembled a vulnerability. But here’s the good news: modern DAST solutions have gotten smarter (some might say they’ve matured, like a fine wine). By leveraging machine learning and refined detection algorithms, today’s tools drastically reduce the “cry wolf” alerts.

Moreover, the best DAST solutions provide clear, actionable results. Instead of a vague “Something’s wrong,” you get precise details: where the vulnerability is, how it can be exploited, and recommendations to fix it. It’s like having a GPS that doesn’t just say “turn left” but tells you why you’re turning and what happens if you don’t.

And let’s not ignore the real culprit in some cases: misconfiguration. Even the best tools can produce junk data if they aren’t set up properly. Spend a few minutes configuring your scan right, and your future self will thank you.

Myth #3: “False positives are the biggest problem with DAST.”

Speaking of false positives, let’s flip the script. Sure, they’re annoying, but you know what’s worse? False negatives – vulnerabilities that go unnoticed. Those are the ones that let attackers waltz through the front door while you’re distracted by a harmless alert.

DAST excels at finding real, exploitable vulnerabilities from an attacker’s perspective. It’s like hiring a friendly hacker to test your defenses (without the whole “illegal activity” part). The key is to use a solution that provides a balance: minimizing false positives while not sacrificing detection capabilities.

Besides, false positives aren’t the villain they’re made out to be. Would you rather have a slightly overzealous guard dog or one that occasionally decides not to bark when someone breaks in? I rest my case.

Why These Myths Persist

So, if modern DAST tools have addressed speed, accuracy, and false positives, why do these myths persist? Partly, it’s the echo chamber effect. Someone had a bad experience years ago, shares it on a forum, and suddenly it’s gospel truth. Another reason? Not all DAST solutions are created equal. Choosing the right tool (and configuring it correctly) makes all the difference.

And let’s be honest—some folks resist change. They’ve got their processes, and introducing a new tool feels like inviting chaos. But in an era where cyber threats evolve faster than viral memes, standing still isn’t an option.

Wrapping It Up

Dynamic Application Security Testing has come a long way. The next time someone scoffs and says, “DAST is too slow” or “It’s full of false positives,” you can confidently roll your eyes (politely, of course) and set the record straight. Today’s DAST solutions are fast, accurate, and a vital part of any robust security program.

Security isn’t about perfection; it’s about being prepared. And with modern DAST tools, you’re not just checking a box—you’re genuinely reducing risk. So, grab that coffee, kick off a scan, and rest easy knowing your application has a watchful eye on it.

Because when it comes to security, it’s better to be safe than breached.

APIs are like the secret tunnels of the digital world—they connect apps, services, and devices in ways most users never see. They power everything from your food delivery app to online banking. In fact, if the internet were a human body, APIs would be the bloodstream, carrying vital data everywhere it needs to go.

But with great connectivity comes great vulnerability. As APIs become the backbone of modern applications, they also become prime targets for attackers. Enter Dynamic Application Security Testing (DAST), the digital watchdog that ensures those secret tunnels aren’t easy entry points for cybercriminals.

Yet, despite its importance, DAST often gets sidelined in API security discussions. So, why should you care? And how exactly does DAST play hero in protecting your APIs? Let’s dive in.

Table of Content

1. Why APIs Are Juicy Targets (And Why That Should Scare You)
2. How DAST Protects Your APIs Like a Digital Bodyguard
3. “But Can’t We Just Use SAST or Manual Testing?” (Spoiler: Not Enough)
4. Speed, Scale, and Continuous Protection
5. Conclusion

Why APIs Are Juicy Targets (And Why That Should Scare You)

Imagine leaving your front door open because you thought your security system had it covered. That’s what unsecured APIs are like. With companies racing to innovate and deploy faster, security sometimes gets treated like an afterthought. Attackers know this. They exploit overlooked endpoints, unsecured tokens, and poorly implemented authentication mechanisms.

APIs expose a direct line to data—user information, payment details, internal systems. That makes them an irresistible target. The recent surge in high-profile data breaches? Yup, many stem from vulnerable APIs. Scared? You should be. But fear not, because this is where DAST steps in.

How DAST Protects Your APIs Like a Digital Bodyguard

DAST works by testing your application from the outside—just like an attacker would. It doesn’t need access to the source code. Instead, it sends requests, analyzes responses, and identifies vulnerabilities you didn’t know existed.

For APIs, this is a game changer. Why? Because APIs don’t come with a visual interface to “click around.” You need something that can understand how to interact with endpoints, send different payloads, and check how the API reacts. DAST excels at this.

It can uncover:

• Broken authentication mechanisms.
• Injection vulnerabilities (SQL, command, you name it).
• Insecure direct object references (IDOR).
• Excessive data exposure.

In essence, DAST ensures your API isn’t unintentionally handing out keys to sensitive data like an overly generous doorman.

“But Can’t We Just Use SAST or Manual Testing?” (Spoiler: Not Enough)

Static Application Security Testing (SAST) is great for catching issues in code before deployment. Manual testing? Essential for nuanced vulnerabilities. But neither fully simulates what an attacker sees once your API is live. DAST fills that gap by testing the running application in real-world conditions.

Imagine locking every window in your house but never checking if the door was left wide open. SAST is like securing the windows; DAST checks the doors. Together, they provide comprehensive coverage.

Speed, Scale, and Continuous Protection

Modern DAST solutions aren’t the sluggish beasts of yesteryear. They’re fast, scalable, and easily integrate into CI/CD pipelines. This means your API security testing can keep pace with rapid development cycles. Deploy code, run a DAST scan, catch vulnerabilities before they go live—rinse and repeat.

And as APIs evolve (because let’s be honest, they always do), DAST evolves with them, continuously monitoring and identifying new risks. Static checks are great, but having a dynamic watchdog always on the lookout? Priceless.

Conclusion

APIs are the lifeline of modern applications. Ignoring their security is like building a fortress and leaving the back gate open. DAST provides that crucial external perspective, ensuring your APIs aren’t silently exposing your organization to risk.

So, next time someone says, “We don’t need DAST for our APIs,” you can confidently respond, “Are you sure about that?” Because in a world where attackers are constantly evolving, your security should be, too.

Better safe than breached—especially when your entire application depends on it.

In today’s fast-paced digital landscape, the need for secure software development has never been more critical. As organizations embrace DevOps to accelerate delivery, security can no longer be an afterthought. Enter Dynamic Application Security Testing (DAST)—a modern approach to identifying vulnerabilities in running applications. When integrated seamlessly into DevOps, DAST becomes a game-changer, enabling teams to build secure software without compromising speed. In this article, we’ll explore how modern DAST tools, like Bright Security, are transforming the DevOps pipeline and why this integration is essential for businesses aiming to stay ahead of cyber threats.

Table of Content

1. Why DevOps Needs Modern DAST
2. Key Benefits of Integrating DAST with DevOps
3. Bright Security: A Modern DAST Solution for DevOps
4. Best Practices for Integrating DAST into DevOps
5. The Future of DevOps Security
6. Conclusion

Why DevOps Needs Modern DAST

DevOps is all about speed, collaboration, and continuous delivery. However, this rapid pace often leaves little room for traditional security practices, which are typically slow and manual. As a result, vulnerabilities can slip into production, exposing organizations to significant risks. Modern DAST tools are designed to address this challenge. By automating security testing and integrating it directly into the CI/CD pipeline, DAST ensures that vulnerabilities are identified and remediated early in the development process. This proactive approach not only enhances security but also aligns perfectly with the DevOps philosophy of continuous improvement.

Key Benefits of Integrating DAST with DevOps

Integrating DAST into DevOps enables a “shift-left” approach, where security testing occurs earlier in the development lifecycle. This reduces the cost and effort of fixing vulnerabilities later in the process. Modern DAST tools automate vulnerability scanning, allowing developers to focus on coding while the tool continuously monitors for risks. This automation ensures that security keeps pace with development.

DAST provides real-time feedback to developers, enabling them to address vulnerabilities immediately. This fosters a culture of shared responsibility for security across development and operations teams. With regulatory requirements becoming stricter, DAST helps organizations meet compliance standards by providing detailed reports and audit trails.

Bright Security: A Modern DAST Solution for DevOps

Bright Security is a cutting-edge DAST platform designed specifically for modern DevOps environments. It combines advanced vulnerability detection with seamless integration into CI/CD pipelines, making it an ideal choice for organizations looking to enhance their security posture without slowing down development.

Bright Security integrates effortlessly with popular DevOps tools like Jenkins, GitLab, and Azure DevOps, ensuring continuous security testing. Using AI and machine learning, Bright Security minimizes false positives, allowing developers to focus on real threats. With intuitive dashboards and actionable insights, Bright Security empowers developers to take ownership of security. Whether you’re a startup or an enterprise, Bright Security scales to meet your needs, providing consistent protection across all environments.

By embedding Bright Security into your DevOps pipeline, you can detect vulnerabilities in real-time during development and testing phases, reduce the risk of security breaches in production, foster collaboration between development, operations, and security teams, and achieve faster time-to-market without compromising on security.

Best Practices for Integrating DAST into DevOps

Incorporate DAST tools like Bright Security from the beginning of your project to ensure security is baked into every stage of development. Leverage automation to run DAST scans as part of your CI/CD pipeline. This ensures continuous testing without manual intervention. Train developers and operations teams on the importance of DAST and how to interpret and act on its findings. Regularly review DAST reports and use the insights to refine your development and security processes.

The Future of DevOps Security

As cyber threats continue to evolve, the integration of modern DAST tools like Bright Security into DevOps will become indispensable. By combining the speed of DevOps with the robustness of DAST, organizations can achieve a harmonious balance between innovation and security. The result? Faster, safer, and more reliable software delivery.

Conclusion

Integrating modern DAST with DevOps is no longer optional—it’s a necessity. Tools like Bright Security are leading the charge, enabling organizations to build secure applications at the speed of DevOps. By embracing this integration, businesses can stay ahead of cyber threats, meet compliance requirements, and deliver high-quality software that users can trust.

Ready to revolutionize your DevOps pipeline? Explore Bright today and take the first step toward a more secure future.

Application Security Testing (AST) plays a pivotal role in identifying vulnerabilities during the software development lifecycle. However, its efficacy depends on having a comprehensive and realistic testing environment. Broken Crystals, an intentionally vulnerable and open-source web application, is an outstanding testing ground for AST solutions. Built to simulate modern vulnerabilities, it provides security professionals and developers with a safe and controlled platform to refine their tools and techniques.

Table of Content

1. The Purpose of Broken Crystals
2. How Broken Crystals Enhances AST Testing
3. Benefits of Using Broken Crystals Over Alternatives
4. How Organizations Can Leverage Broken Crystals
5. Conclusion

The Purpose of Broken Crystals

Broken Crystals was created with one primary goal: to offer a realistic, open-source environment for testing and training in application security. Unlike production systems, where experimenting with security tools can be risky, Broken Crystals allows users to test AST tools without jeopardizing live applications or sensitive data. This web application is intentionally embedded with vulnerabilities such as SQL injection, cross-site scripting (XSS), insecure direct object references (IDOR), and more, reflecting the complexities of modern web applications.

How Broken Crystals Enhances AST Testing

Broken Crystals stands out as a testing ground for AST solutions for several key reasons:

Realistic Vulnerabilities

Broken Crystals mirrors the architecture and vulnerabilities of modern web applications, including API-heavy interactions and client-server architectures. It provides a practical environment for AST solutions to detect issues such as input validation flaws, authentication misconfigurations, and insecure API endpoints.

Safe and Controlled Environment

Testing AST tools on live applications can lead to unintended disruptions or expose sensitive data. Broken Crystals mitigates these risks by offering a sandbox environment where users can run scans, validate results, and fine-tune configurations without worry.

API Vulnerability Testing

In addition to web-based vulnerabilities, Broken Crystals includes APIs with built-in weaknesses, enabling AST solutions to test their capabilities in identifying API-specific issues like insufficient authentication, token manipulation, and rate-limiting flaws.

Immediate Feedback

Broken Crystals provides transparency by enabling users to compare AST results against known, intentionally embedded vulnerabilities. This makes it easy to evaluate tool effectiveness, identify detection gaps, and adjust configurations as needed.

Training Opportunities

For organizations adopting a DevSecOps approach, Broken Crystals serves as a valuable training resource. Developers and security teams can learn about vulnerabilities, practice using AST tools, and prioritize remediation strategies in a hands-on environment.

Benefits of Using Broken Crystals Over Alternatives

While several intentionally vulnerable applications exist, such as OWASP Juice Shop, Broken Crystals offers distinct advantages:

Modern Vulnerabilities and Technologies

Many testing environments feel outdated, focusing on vulnerabilities that are less common in today’s software landscape. Broken Crystals emphasizes challenges found in modern web applications, such as API-heavy architectures, cloud-native technologies, and client-server interactions.

Open Source and Accessibility

Broken Crystals is open source, ensuring accessibility for teams of all sizes and technical expertise. This ease of deployment allows organizations to quickly set up a testing environment without significant barriers.

Scalability for AST

Unlike alternatives such as OWASP Juice Shop, which cater more to training and manual testing, Broken Crystals is designed to support automated testing at scale, making it ideal for AST tools.

How Organizations Can Leverage Broken Crystals

Tool Evaluation

Organizations can use Broken Crystals to evaluate and compare different AST solutions, assessing factors like vulnerability coverage, false positive rates, and ease of integration.

Configuration Optimization

Broken Crystals allows users to fine-tune AST tool settings, ensuring a balance between comprehensive vulnerability detection and minimal false positives.

Training and Awareness

Security teams and developers can run scans on Broken Crystals, analyze the results, and work through remediation steps. This hands-on approach builds a deeper understanding of both vulnerabilities and AST capabilities.

Performance Benchmarking

Organizations can test the scalability and performance of AST tools by running them against Broken Crystals under various simulated conditions, such as high traffic or concurrent scans.

Conclusion

Broken Crystals is more than just an intentionally vulnerable web application; it is a comprehensive, modern, and scalable resource for AST solutions. Its realistic vulnerabilities, focus on modern technologies, open-source nature, and scalability for automated testing make it an invaluable tool for organizations seeking to enhance their application security practices. By leveraging Broken Crystals, teams can optimize their AST tools, gain critical training, and build a proactive security posture tailored to the complexities of today’s digital landscape.

Our security research team has been looking into the security of WAF applications and discovered a concerning trend: while WAFs (Web Application Firewalls) are effective at blocking certain types of known threats, they are not a panacea. Many organizations rely solely on WAFs as a shield, assuming their applications are secure without further testing. This assumption leaves critical runtime vulnerabilities undetected.

WAFs operate based on predefined rules and signatures, which makes them powerful against known attacks but inadequate when it comes to zero-day threats or sophisticated attack vectors that don’t fit traditional patterns. They can’t fully simulate dynamic user interactions or detect issues that arise from complex workflows within an application.

To build a truly secure environment, organizations must complement WAFs with thorough dynamic testing strategies, like DAST. DAST goes beyond signature matching to probe the application as it runs, uncovering vulnerabilities that a WAF might miss entirely. This combination ensures robust defense and reduces the risk of security breaches.

Table of Content

1. A story from the team:
2. The Role of WAF in Security
3. The Limitations of WAF
4. Real life examples:
5. The Importance of Updating Technologies
6. The Necessity of Security Testing
7. Secure Coding Practices
8. Conclusion

A story from the team: 

Recently, Bright’s security team uncovered significant vulnerabilities in a major corporation with over $150 billion in revenue. The company, which utilises AngularJS and Akamai WAF, was found to be susceptible to prototype pollution, HTML injection leading to Open Redirect, and cross-site scripting (XSS) attacks. These vulnerabilities highlight a critical flaw in the company’s security strategy: an overreliance on WAF without adequate emphasis on secure coding practices, technology updates, and insufficient application-level security testing and scanning.

The lack of thorough application-level security testing and scanning is a significant issue. Many organisations rely heavily on perimeter defences like WAFs, which can miss vulnerabilities within the application itself. Application security testing tools, such as Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST), are essential because they help identify and remediate vulnerabilities in the source code and running applications respectively​.

Without these tools, companies may fail to detect critical vulnerabilities early in the development process, leaving them exposed to potential exploits. This can lead to significant risks, including data breaches, financial loss, and damage to reputation. Furthermore, integrating security testing into the software development lifecycle (SDLC) allows developers to address issues promptly, reducing the overall cost and effort required for remediation​.

By not conducting sufficient application-level security testing, the organisation increases the likelihood that vulnerabilities will go undetected until they are exploited by attackers.

The Role of WAF in Security

Web Application Firewalls are designed to filter and monitor HTTP traffic between a web application and the Internet. They protect against common attacks such as SQL injection, XSS, and other OWASP Top 10 threats. While WAFs are an important layer of defence, they are not a silver bullet. WAFs can only protect against known vulnerabilities and attack patterns. They cannot defend against new, sophisticated, or zero-day attacks that exploit unknown vulnerabilities.

The Limitations of WAF

1. False Sense of Security: Relying solely on WAF can create a false sense of security. Organisations may neglect other essential security measures, assuming the WAF will catch all threats.

2. Bypass Techniques: Attackers continuously develop techniques to bypass WAF protections. This makes it critical to have additional layers of security. For example:

• Encoding and Obfuscation: Attackers often use sophisticated encoding techniques to disguise malicious payloads, making them difficult for WAFs to detect. For example, URL encoding and Base64 encoding can transform a payload into a format that bypasses WAF filters​.
• HTTP Parameter Pollution: By injecting multiple parameters with the same name, attackers can confuse WAFs, causing them to miss malicious content. This technique exploits how different components of the application process input parameters differently​.
• Behavioral and Machine Learning Limitations: Even advanced WAFs that use machine learning (ML) can be bypassed. Attackers can train their payloads to mimic legitimate traffic patterns, thereby evading detection. For instance, modifying attack patterns slightly or interspersing benign data with malicious code can trick ML-based WAFs. ML models can suffer from high rates of false positives and negatives. This means that they might block legitimate traffic (false positives) or allow malicious traffic (false negatives), especially when attackers craft payloads to appear as normal behaviour.
• Unknown Vulnerabilities: WAFs rely on known signatures and patterns to detect attacks. However, zero-day exploits, which target unknown vulnerabilities, can bypass WAF protections entirely. Attackers constantly discover new vulnerabilities that WAFs have not yet been trained to recognize, making it easy to bypass them using fresh, undiscovered exploits​

Real life examples:

1. Cloudflare WAF Bypass Leading to Reflected XSS:

• Blocked Payload: “>
• Bypass Payload: “>
• Explanation: The initial payload was blocked by Cloudflare, but by modifying the onerror attribute to include an additional, seemingly harmless attribute (onerrora=confirm()), the WAF was bypassed, resulting in a successful XSS attack when the second onerror executed.

2. Akamai WAF Bypass:

• Bypass Payload:
• Explanation: This payload uses URL encoding and JavaScript obfuscation to bypass Akamai’s WAF. The encoded %252F and obfuscated JavaScript (k='a',top ) trick the WAF into allowing the payload through, resulting in an XSS alert when executed.

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3. Performance Overhead: WAFs can introduce latency and impact application performance, which might lead to trade-offs between security and user experience.

4. Limited Scope: WAFs primarily focus on web traffic and do not address underlying vulnerabilities in the code or application logic.

The Importance of Updating Technologies

In the case of the corporation mentioned earlier, their use of AngularJS, a framework that is no longer actively maintained, contributed to their vulnerabilities. Modern frameworks like Angular (the successor to AngularJS) offer improved security features and regular updates to address emerging threats. Sticking with outdated technologies exposes applications to known vulnerabilities that attackers can exploit easily.

The Necessity of Security Testing

Regular security testing, including static code analysis (SAST), dynamic analysis (DAST), and penetration testing, is essential to identify and remediate vulnerabilities. Security testing should be an integral part of the software development lifecycle (SDLC). Common automated tools usually aim for the long hanging fruits while missing the business logic vulnerabilities and multi-step attacks. However, as these tools evolve, they are increasingly aiming to address more sophisticated attack vectors, including multi-step exploits. Over time, advancements in automation will enable these tools to detect a wider array of vulnerabilities, potentially covering most, if not all, intricate attack scenarios.

Secure Coding Practices

Implementing secure coding practices is fundamental to building secure applications. Developers should be trained in secure coding principles and best practices, such as:

• Input validation and sanitization
• Proper error handling
• Least privilege principle
• Regular code reviews and audits

Conclusion

Relying solely on WAF for security is a perilous strategy. While WAFs are an important component of a comprehensive security strategy, they should not be the only line of defence. Organisations must prioritise updating their technologies, conducting regular security testing, and fostering a culture of secure coding. By doing so, they can build resilient applications that withstand the evolving threat landscape and protect their valuable assets and reputation.

For the corporation with over $150 billion in revenue, the vulnerabilities discovered underscore the need for a more holistic approach to security. Investing in modern technologies, continuous security testing, and secure development practices is not just advisable—it’s essential for safeguarding the future.

By addressing these fundamental aspects of security, organisations can move beyond the illusion of security provided by WAFs and build robust defences against the ever-growing array of cyber threats.

In the fast-paced world of Agile development, speed is often the primary objective. Teams push through development cycles rapidly, releasing features at an impressive pace. However, in the race to deliver quickly, one critical aspect frequently gets overlooked: Dynamic Application Security Testing (DAST). This oversight isn’t a trivial matter but a serious issue with hidden costs that can jeopardize your project’s success.

Table of Content

1. The Mirage of Speed
2. Financial Consequences of Security Breaches
3. Erosion of Customer Trust
4. Productivity Challenges
5. Regulatory Compliance Risks
6. Competitive Disadvantage
7. Accumulating Technical Debt
8. The False Sense of Security
9. Impact on Team Morale
10. The Escalating Cost of Late Fixes
11. Conclusion

The Mirage of Speed

Agile development promises rapid delivery, but speed without security can lead to disaster. Skipping essential security testing might initially seem like a time-saving move. However, undetected vulnerabilities can persist, eventually causing security breaches that require extensive rework and resource reallocation. Identifying and addressing runtime vulnerabilities early keeps development on track, ensuring smooth progress without expensive interruptions.

Financial Consequences of Security Breaches

Security breaches are costly—sometimes disastrously so. The immediate financial repercussions may include legal fees, customer notifications, and regulatory fines, but these are just surface-level expenses. The deeper, more damaging consequences involve lost business, a tarnished reputation, and customer churn. Investing in early security measures is a modest expense compared to the financial devastation a breach can cause.

Erosion of Customer Trust

Customer trust is invaluable but fragile. A single security lapse can convey to users that their data is not safe, causing a swift loss of loyalty. Conducting regular security assessments helps identify and patch vulnerabilities before they can be exploited. This proactive approach reassures customers that their information is protected, fostering long-term trust and confidence.

Productivity Challenges

Skipping security tests might appear to boost productivity, but this is deceptive. The time saved by avoiding tests is quickly overshadowed by the extensive time required to address security incidents. Proactive security testing keeps development pipelines running smoothly, freeing teams from constant fire drills and enabling them to meet deadlines without burning out.

Regulatory Compliance Risks

Laws and regulations like GDPR and CCPA are more than bureaucratic formalities—they are legal obligations. Failure to comply can lead to severe fines and penalties. Security assessments help ensure adherence to these regulatory frameworks, transforming potential compliance nightmares into manageable tasks.

Competitive Disadvantage

Security can be a significant differentiator in a crowded market. Applications known for robust security are more likely to attract and retain users. Strengthening your application against threats positions you as a trustworthy choice, giving you a competitive edge over less security-conscious rivals.

Accumulating Technical Debt

Ignoring vulnerabilities is akin to accruing technical debt—one that accumulates interest over time. The longer these vulnerabilities remain unaddressed, the more complex and costly they become to resolve. Proactively fixing vulnerabilities keeps technical debt manageable and prevents issues from escalating.

The False Sense of Security

Relying solely on other testing methods can create a false sense of security. Static Application Security Testing (SAST) may identify code flaws, but it cannot detect runtime vulnerabilities. Comprehensive security testing that includes DAST provides a more holistic view of potential threats, offering stronger protection.

Impact on Team Morale

Security breaches can demoralize developers. The satisfaction of delivering a new feature is often overshadowed by the stress of potential vulnerabilities. Regular security testing and a security-conscious culture empower developers, boosting their confidence and sense of accomplishment.

The Escalating Cost of Late Fixes

The cost to fix a vulnerability increases exponentially the later it is detected in the development cycle. Early identification and remediation ensure more cost-effective fixes, reducing both financial and operational burdens.

Conclusion

In the relentless pursuit of Agile development, security should never be sacrificed. Ignoring essential security measures like DAST comes with hidden costs too significant to overlook. By integrating dynamic security testing into your development processes, you are not only safeguarding your application but also ensuring the long-term success of your project. In development, it’s always wiser to tread carefully and securely than to stumble over unforeseen obstacles.

Dynamic Application Security Testing (DAST) tools are essential for identifying vulnerabilities in applications during runtime. However, not all DAST tools are created equal. Enterprise-grade DAST solutions are designed to meet the complex and high-stakes needs of large organizations, setting them apart from more basic or developer-focused options. One of their most significant advantages is the ability to test business logic vulnerabilities while offering advanced authentication and crawling capabilities, making them indispensable for modern enterprises.

Table of Content

1. The Unique Demands of Enterprise Security
2. Choosing the Right DAST for Your Enterprise
3. Conclusion

The Unique Demands of Enterprise Security

Large enterprises often deal with highly complex environments that include diverse applications, numerous APIs, and globally distributed teams. In such scenarios, a DAST tool needs to do more than just detect vulnerabilities. It must integrate seamlessly with existing workflows, provide actionable insights, and scale effectively across multiple teams and projects. Enterprise-grade DAST tools excel in these areas and address challenges that simpler tools cannot.

1. Scalability and Performance

Enterprise environments typically include hundreds, if not thousands, of applications and APIs that need regular security assessments. Enterprise-grade DAST solutions are designed to handle such scale efficiently by supporting:

• Parallel Scans: The ability to run multiple scans simultaneously without a performance dip.
• Large Workloads: High-speed scanning to process large applications and extensive endpoints quickly.

In contrast, basic DAST tools often struggle with performance when applied to enterprise-scale use cases, leading to delays and bottlenecks.

2. Advanced Customization and Configuration

Enterprise-grade DAST tools offer organizations the flexibility to tailor scans to their unique requirements. They support advanced configurations such as:

• Custom test cases for unique application architectures.
• Fine-grained scanning controls for specific endpoints or APIs.
• Role-based access for managing users across distributed teams.

Basic tools often lack these options, making them unsuitable for testing applications with non-standard architectures or complex workflows.

3. Integration with Enterprise Workflows

Seamless integration with DevSecOps pipelines and enterprise tools is another major differentiator for enterprise-grade DAST solutions. They provide:

• CI/CD Compatibility: Easy integration with Jenkins, GitLab, Azure DevOps, and other CI/CD tools.
• Comprehensive Reporting: Support for export formats (e.g., JSON, CSV, XML) compatible with third-party security management systems.
• API Access: Robust APIs to automate scans and integrate results into broader workflows.

Basic tools often lack robust APIs or CI/CD integration, limiting their usefulness in fast-paced DevSecOps environments.

4. Broader Vulnerability Detection

One of the most significant advantages of enterprise-grade DAST tools is their ability to identify business logic vulnerabilities – issues that arise from flaws in the design or implementation of application workflows. These tools also:

• Detect advanced issues such as server-side request forgery (SSRF).
• Perform compliance-focused scans for regulations like PCI DSS or GDPR.
• Handle complex applications with multi-step authentication and dynamic content.

In contrast, basic DAST tools typically focus on common vulnerabilities like SQL injection or cross-site scripting (XSS), leaving critical enterprise issues undetected.

5. Comprehensive Reporting and Insights

Enterprise-grade DAST tools provide detailed and actionable reports to help teams prioritize vulnerabilities effectively. Key features include:

• Risk Scoring: Helps teams focus on the most critical vulnerabilities.
• Granular Reports: Segmented by application, team, or compliance standard.
• Developer-Friendly Guidance: Often includes links to code snippets or remediation steps.

Basic tools may only offer generic or high-level reports, which are less helpful for large teams working across multiple projects.

6. Continuous Support and Updates

With new threats emerging daily, enterprise-grade DAST tools prioritize timely updates and active support. These include:

• Real-Time Threat Intelligence: Identifies the latest attack vectors.
• Dedicated Support Teams: Rapidly resolve technical issues.
• Regular Updates: Ensures scanning algorithms and compliance libraries stay current.

Basic DAST tools often lack the same level of ongoing support, leaving enterprises vulnerable to evolving threats.

Choosing the Right DAST for Your Enterprise

While enterprise-grade DAST solutions offer significant advantages, they come at a higher cost and require more time to implement effectively. Organizations should evaluate their needs carefully, considering factors such as:

• Scale: How many applications or APIs require regular scanning?
• Complexity: Are there unique configurations or multi-layered applications that need advanced testing?
• Integration Needs: Does the solution need to fit seamlessly into existing CI/CD pipelines or security ecosystems?

For small or mid-sized teams with simpler applications, basic DAST tools might suffice. However, for enterprises managing mission-critical applications in a complex environment, an enterprise-grade solution is often the only viable choice.

Conclusion

Enterprise-grade DAST tools go far beyond the basic functionality of standard DAST solutions, offering scalability, customization, and advanced integrations to meet the demands of large organizations. With the ability to test business logic vulnerabilities, leverage advanced authentication mechanisms, and provide robust crawling capabilities, they empower enterprises to secure complex, dynamic applications and APIs while aligning with modern DevSecOps practices. By investing in enterprise-grade DAST, organizations can ensure they stay ahead of evolving threats and maintain a strong security posture across their digital ecosystems.