What are application vulnerabilities?
Application vulnerabilities are security weaknesses in software that attackers can exploit to break into systems. These flaws exist in the code, design, or setup of applications and give hackers a way to steal data, disrupt services, or take control of systems.
Think of vulnerabilities like unlocked doors in your house. Just as a burglar looks for easy ways to get inside, cybercriminals scan applications for these security gaps. In cloud environments, these weaknesses can spread across multiple connected services, making one small flaw potentially very dangerous.
Application vulnerabilities go beyond simple coding mistakes. They include problems with how the application was designed, bugs introduced during development, and incorrect security settings. When these issues combine with other risks like weak passwords or exposed networks, they create what security experts call "toxic combinations"—attack paths that make successful breaches much more likely.
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Why application vulnerabilities matter for modern security teams
Application vulnerabilities create serious problems in cloud environments. Last year saw 311 billion attacks against web applications—up 33% from the previous year. Unlike old systems where applications ran separately, cloud applications connect to many different services. One vulnerable piece can expose entire workflows, databases, and connected systems.
Cloud infrastructure changes constantly. Containers start and stop, serverless functions run on demand, and microservices talk to each other across networks. Each interaction can expose new vulnerabilities. Security teams must consider not just the vulnerability itself, but how it fits into the bigger picture.
Modern development moves fast with continuous integration and deployment. New code—and potentially new vulnerabilities—reach production quickly. Security teams need to keep up with this speed while helping developers ship features fast. This requires shifting from fixing problems after they happen to preventing them before deployment.
Common types of application vulnerabilities
Common types of application vulnerabilities include injection (such as SQL injection), authentication and access control flaws (broken authentication, broken access control), cryptographic failures and data exposure, component vulnerabilities (third-party/SCA), cross-site scripting (XSS), server-side request forgery (SSRF), and insecure design. These categories map directly to the OWASP Top 10, the industry benchmark for application security risks. For example, SSRF vulnerabilities in cloud environments can allow attackers to access metadata services, while XSS can lead to token theft in single-page applications.
Injection vulnerabilities
Injection attacks happen when untrusted data gets sent to an interpreter as part of a command. SQL injection is the most common type, where attackers insert malicious code into database queries to steal or change information.
SQL injection: Attackers manipulate database queries to access unauthorized data
Command injection: Hackers execute system commands they shouldn't have access to
LDAP injection: Targets directory services to bypass authentication
These problems usually come from lack of parameterized queries, poor input validation, and mixing data with code.
Authentication and access control flaws
These vulnerabilities break the systems that verify who users are and what they can access. Broken authentication lets attackers steal passwords, keys, or session tokens to pretend to be other users. Weak authorization checks let users access things they shouldn't.
Common causes include weak password rules, predictable session IDs, and poorly set up access controls.
Configuration vulnerabilities
Security misconfigurations happen when systems use insecure default settings or get set up incorrectly. These can occur anywhere in the application stack, from servers to custom code.
Examples include leaving debugging features on in production, running unnecessary services with high privileges, and keeping default accounts with unchanged passwords. In cloud environments, misconfigured storage and overly broad permissions create major risks.
Data exposure vulnerabilities
These occur when applications don't properly protect sensitive information. This includes storing passwords in plain text, sending data without encryption, and showing sensitive information in error messages.
Poor encryption practices use weak algorithms or implement security functions incorrectly. These vulnerabilities are especially dangerous in cloud environments where data moves between many services.
Component vulnerabilities
Modern applications use many third-party libraries and frameworks. When these components have security issues, they can affect thousands of applications. Third-party involvement in breaches actually doubled to 30% this year, making supply chain security a top priority. Supply chain attacks exploit these dependencies to compromise applications indirectly.
OWASP API Security Top 10 Risks
The OWASP API Security Project offers software developers and cloud security practitioners guidance on preventing, identifying, and remediating the most critical security risks facing application programming interfaces (APIs).
Read moreHow application vulnerabilities are exploited in cloud environments
Cloud environments create new ways for attackers to exploit vulnerabilities. Hackers use the connected nature of cloud services to chain vulnerabilities together, creating attack paths that weren't possible in isolated systems.
Container escape attacks exploit flaws to break out of containers and access the host system. Once an attacker escapes, they can potentially reach other containers, steal credentials, or move to other parts of your infrastructure.
Serverless function exploitation targets vulnerabilities in function code or the events that trigger them. Attackers manipulate event data to inject malicious code or abuse excessive permissions. The temporary nature of serverless functions makes traditional host-based monitoring challenging, requiring cloud-native telemetry and event-driven detection.
API exploitation has become more common as organizations expose more services through APIs. Vulnerabilities in API authentication, rate limiting, or input validation can lead to data breaches or service disruption.
Identity and permission chain attacks exploit the complex web of roles and permissions in cloud environments. Weak or missing credentials now cause 47.1% of incidents in the cloud. An attacker might compromise a low-privilege application, use its credentials to get higher privileges, then use those permissions to access sensitive data.
Cross-service attack paths show how vulnerabilities in one service can compromise seemingly unrelated systems. For example, a web application vulnerability might let an attacker access cloud metadata services, steal temporary credentials, and use those to access completely different services.
Detection and assessment strategies for application vulnerabilities
Finding vulnerabilities requires multiple approaches that work together. Cloud environments need detection strategies that keep up with fast deployment cycles while giving you accurate, useful results.
Static Application Security Testing
Static testing analyzes source code without running the program. These tools examine code structure and data flows to find vulnerabilities like injection flaws and some business logic weaknesses. In cloud development, static testing integrates into build pipelines to catch problems before code reaches production.
Dynamic Application Security Testing
Dynamic testing examines running applications by simulating attacks. These tools send malformed inputs and probe for configuration weaknesses. This approach finds vulnerabilities that static analysis might miss, especially those related to runtime behavior.
Software Composition Analysis
This identifies and analyzes third-party components in your applications. These tools maintain databases of known vulnerabilities and match them against your dependencies. They also detect licensing issues and outdated components.
Interactive Application Security Testing
Interactive testing combines static and dynamic approaches by monitoring applications during testing. These agents track data flow and identify vulnerabilities in real-time. This provides more accurate results by correlating runtime behavior with code analysis.
Runtime vulnerability detection
Runtime detection identifies vulnerabilities and active attacks in production. These tools use behavioral analysis to detect unusual activity that might indicate exploitation. Cloud-native protection uses eBPF technology to monitor system activity without affecting performance.
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Best practices for application vulnerability management
Managing vulnerabilities successfully requires more than just finding them. You need a systematic approach to prioritization, fixing problems, and prevention. The stakes are high—data breaches now cost organizations $4.4 million on average, though companies using security AI and automation save $1.9 million per breach.
Implement continuous scanning across your entire development process. Scan code in repositories, container images in registries, and running applications in production. Continuous scanning ensures you quickly find newly discovered vulnerabilities, even in previously scanned components.
Prioritize based on real risk rather than just severity scores. A critical vulnerability in an isolated service poses less risk than a medium-severity vulnerability in an exposed service with admin privileges.
Consider these factors when prioritizing:
Network accessibility and exposure
Data sensitivity and access
Identity permissions and privileges
Presence of other security controls
Establish clear fix processes with SLAs (for example: Critical—24–72 hours; High—7 days; Medium—30 days; Low—90 days), aligned to your risk appetite and compliance obligations. Ensure clear ownership for each remediation task. Automated ticket creation helps streamline the process.
Shift security left by integrating vulnerability detection into development pipelines. Implement security gates that prevent vulnerable code from reaching production. Use Infrastructure as Code scanning to catch misconfigurations before deployment.
Create feedback loops between production findings and development practices. When you find vulnerabilities in production, trace them back to their source. Use this information to improve coding practices and update security policies.
Implement defense in depth by combining multiple security controls. While preventing vulnerabilities is ideal, assume some will reach production. Deploy runtime protection to detect and block attacks. Use network segmentation to limit damage from potential breaches.
Vulnerability Management Best Practices
11 essential best practices every organization should start with
Read moreHow Wiz enables comprehensive application vulnerability management
Wiz transforms vulnerability management from scattered and reactive into unified and proactive security. The platform's cloud-native approach secures modern applications across their entire lifecycle through four powerful capabilities. First, Wiz Code prevents vulnerabilities in development pipelines with hardened container images and real-time security feedback in developer workflows.
The Wiz Security Graph connects application vulnerabilities with cloud context like network exposure and identity permissions, revealing how seemingly minor issues can chain together into serious attack paths. This context-aware approach prioritizes vulnerabilities based on real exploitability and impact, so security teams focus on critical issues that could actually lead to breaches.
Agentless scanning across VMs, containers, and serverless functions delivers broad coverage with minimal overhead, allowing you to onboard clouds in minutes for fast visibility across all accounts and services. Finally, Wiz Defend detects active exploitation at runtime using lightweight sensors, providing complete attack context including which vulnerabilities were exploited.
Throughout this process, code-to-cloud traceability maps production vulnerabilities back to specific code lines and developer owners, helping fix issues at their root cause and creating a continuous security feedback loop.
Request a demo to see how a unified, agentless platform connects code, pipeline, cloud, and runtime to prioritize and fix what matters—fast.
Identify and Prioritize Vulnerabilities
Wiz analyzes your entire cloud environment to find vulnerable resources, making prioritization possible at a glance.
