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Software Security Vulnerabilities Developers Need to Know About

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As everyone involved in software development knows, code must be both functional and secure. Too often, software security vulnerabilities hide behind perfectly working features, turning seemingly stable applications into ticking time bombs. When overlooked, these software vulnerabilities can become entry points for hackers, leading to data leaks, service disruptions, or full-scale cybersecurity incidents.

Here, we’ve identified the most common security vulnerabilities. We’ll explore the threats that compromise functionality and expose sensitive data, and show you how to prevent them from ever making it into production.

Risks associated with software security vulnerabilities

Code security flaws are liabilities with real consequences. A single vulnerability can serve as an entry point for attackers, resulting in unauthorized access, data breaches, and security incidents. And the impact isn’t just felt by IT teams: Leaked credentials, stolen data, and compromised systems affect customers, partners, and your brand’s credibility.

And cyberattacks aren’t the only risk. In some situations, poor application security can trigger regulatory action under frameworks like GDPR, HIPAA, and PCI DSS. For many organizations, the costs of non-compliance can be just as damaging as the breach.

The most common software security vulnerabilities

The vulnerabilities below are among the most frequently exploited in data breaches and represent some of the most pressing security issues developers face. Many map to the OWASP Top 10 and are directly associated with identifiers in the Common Weakness Enumeration (CWE) and Common Vulnerabilities and Exposures (CVE) databases.

SQL injection

SQL Injection (SQLi) remains one of the most widely exploited software vulnerabilities. It’s dangerous because it often enables attackers to extract confidential information, escalate privileges, or gain full administrative control, especially in systems lacking proper input validation and privilege controls. 

Despite widespread awareness, SQL injection is still common in 2025 due to legacy codebases, insecure development practices, and inconsistent input validation in many web applications.

A recent example is the MOVEit Transfer breach in May 2023. Attackers exploited a zero-day SQL injection vulnerability in this widely used file transfer application, allowing them to install a custom web shell and exfiltrate data from thousands of organizations worldwide.

How to prevent or detect it

  • Use parameterized queries or prepared statements—never build SQL dynamically with string concatenation. For example, in Java, you could use:

PreparedStatement stmt = conn.prepareStatement(“SELECT * FROM users WHERE email = ?”);

stmt.setString(1, userInput);

  • Validate and sanitize all user input and apply strict allowlists and reject dangerous characters like ‘, ;, or –.
  • Apply least privilege to database accounts and restrict each role’s access to only the data and actions it needs.
  • Scan your code with static application security testing (SAST) tools to catch SQLi-prone patterns early and flag related CWE entries.
  • Avoid verbose database error messages as they can leak schema details useful to attackers.

Cross-site scripting (XSS)

Cross-site scripting (XSS) occurs when an attacker injects malicious JavaScript into a web page, which then executes in another user’s browser. It’s used to impersonate users, deliver malware, or exploit browser extensions. XSS typically targets web apps that fail to properly handle user input in HTML or JavaScript contexts. This can lead to session hijacking, cookie theft, user redirection, or a spoofed interface that appears to come from a trusted source.

In early 2025, attackers exploited an XSS vulnerability in the Krpano framework, which is a tool used for embedding images and creating virtual tours. The exploit led to the injection of malicious scripts into hundreds of websites, manipulating search engine results and sending out spam advertisements. 

How to prevent or detect it

  • Sanitize and encode all user input rendered in HTML, JavaScript, or the Document Object Model (DOM).
  • Use frameworks or libraries that automatically escape output (e.g., React, Angular).
  • Apply Content Security Policy (CSP) headers to restrict script sources.
  • Avoid inserting raw input into the page or attributes. Use context-aware encoding.
  • Detect XSS via SAST, CWE references, or runtime monitoring during QA testing.

Broken access control

Broken access control occurs when an application fails to properly enforce restrictions on what authenticated users are allowed to do. These flaws can result in unauthorized access to data, actions, or system functionality. They often stem from misconfigured permissions, missing authorization logic, or predictable object references (e.g., userId=123 in a URL). Common examples include:

  • Accessing admin-only endpoints without role verification.
  • Viewing or modifying another user’s data by changing URL parameters or API calls.
  • Performing privileged actions outside a role, such as a regular user being able to delete records or change permissions.

A data breach involving broken access control occurred in October 2023, affecting Atlassian’s Confluence Data Center and Server products. The vulnerability, identified as CVE-2023-22515, allowed attackers to create administrator accounts on publicly accessible Confluence instances that gave them full administrative access without authentication.

How to prevent or detect it

  • Enforce server-side authorization checks, even if the user interface restricts access.
  • Use access control rules that are role- or attribute-based (RBAC/ABAC), not just object ID patterns.
  • Avoid exposing predictable IDs in URLs unless access is explicitly enforced.
  • Apply the principle of least privilege when defining user roles and permissions.
  • Use SAST tools like Kiuwan Code Security to flag improper authorization logic.

Security misconfiguration

Security misconfiguration occurs when applications, servers, or infrastructure are set up with overly permissive or insecure defaults that widen your attack surface, offering attackers easy entry without needing to get into the code. Common examples include exposed admin panels, default credentials, error messages, unsecured cloud storage, and unnecessary services.

A notable example of a data breach caused by security misconfiguration occurred in September 2023 when Microsoft disclosed a massive data leak involving 38 terabytes of internal data. The breach was attributed to a misconfigured Azure Blob Storage container, which inadvertently exposed sensitive information, including employee credentials and internal messages.

How to prevent or detect it

  • Disable unnecessary features, services, or admin interfaces in production.
  • Enforce secure defaults and use hardened templates for new deployments.
  • Avoid exposing internal tools or APIs without authentication.
  • Mask error messages and debug information in public-facing apps.
  • Use automated configuration validation tools and regularly test environments.

Insecure APIs

As apps become increasingly API-first, insecure endpoints can serve as backdoors to otherwise protected systems, leading to unauthorized access, data leaks, or service disruption. APIs are prime targets for attackers due to their access to large volumes of sensitive information, lack of documentation, and reliance on open-source components with known vulnerabilities.

In April 2024, vulnerabilities in PandaBuy’s API resulted in data theft that affected 1.3 million users. This breach underscores the importance of API access controls to thwart attempts at unauthorized access​.

How to prevent or detect it

  • Enforce strict authentication and authorization for all API endpoints.
  • Apply the least privilege access principles to API consumers and tokens.
  • Use rate limiting and monitoring to detect abuse patterns.
  • Validate input and sanitize responses; don’t overexpose data structures.
  • Scan APIs for vulnerabilities using SAST and SCA tools and test for misconfigurations.

Insecure design

Insecure design refers to flaws in an application’s architecture, logic, or workflows that introduce security risks even if the underlying code is written correctly. Unlike injection or misconfiguration vulnerabilities, insecure design stems from a lack of threat modeling, failure to define security requirements, or neglect of abuse cases during the planning phase. Examples include:

  • Missing or inconsistent authorization checks that allow users to access data or actions they shouldn’t.
  • Insecure default configurations, such as admin access enabled by default or features exposed unintentionally.
  • Lack of role separation. For example, allowing the same user account to approve and execute financial transactions.
  • Abusable workflows like password reset processes that can be hijacked or approval flows that can be bypassed.

One of the most prominent instances of a breach stemming from insecure design is the 2017 Equifax data breach, which exposed the personal information of 147 million people. While the breach was initially attributed to an unpatched vulnerability, the underlying issues and lack of layered defenses, access controls, and effective monitoring reflects an insecure design where security considerations were not integral to the system’s planning.

How to prevent or detect it:

  • Include security threat modeling and abuse case analysis during design and planning.
  • Enforce secure defaults like deny by default, least privilege, etc.
  • Validate critical workflows under edge conditions and business constraints.
  • Review design decisions collaboratively across dev, security, and architecture teams.
  • Use SAST and manual code reviews to verify that implementation matches intent.

Identification and authentication failures

This category covers flaws in how users are identified and authenticated, such as weak login mechanisms, missing multi-factor authentication (MFA), exposed session tokens, or poor password policies. These failures frequently lead to credential stuffing, brute-force attacks, or session hijacking.

In 2024, hackers accessed data from over 100 customers of Snowflake, Inc. by leveraging login credentials obtained from infostealers to access Snowflake cloud accounts using only a username and password. The absence of MFA allowed the attackers to infiltrate these accounts, highlighting a failure in authentication controls.

How to prevent or detect it:

  • Enforce strong password policies and lockouts for repeated login attempts.
  • Require MFA for all sensitive user roles or operations.
  • Securely store credentials using salted hashes (e.g., bcrypt, Argon2).
  • Use short session lifetimes, regeneration on login, and HttpOnly + SameSite cookie attributes.
  • Monitor login patterns for anomalies and flag potential abuse.

Software and data integrity failures

Software and data integrity failures occur when code, configuration, or update mechanisms are susceptible to tampering. These vulnerabilities are part of supply chain attacks where trust in open-source packages, CI/CD workflows, or updates is exploited. Examples include insecure package downloads, unverified third-party dependencies, or unsigned updates that are deployed regardless.

In February 2024, Change Healthcare experienced a ransomware attack stemming from a software and data integrity failure that involved the compromise of critical healthcare infrastructure through the exploitation of software vulnerabilities. This breach impacted over 100 million patients’ personal data and caused significant disruptions in healthcare operations.

How to prevent or detect it:

  • Digitally sign all software artifacts and verify signatures during deployment.
  • Use secure package registries and lockfiles to pin exact versions.
  • Monitor your CI/CD pipeline for unauthorized changes or misconfigurations.
  • Scan dependencies for known CVEs using SCA tools like Kiuwan.
  • Use version control and change management to track all code and config changes.

Security logging and monitoring failures

Security logging and monitoring failures occur when applications don’t generate, store, or surface security-relevant events, which makes it difficult to detect and respond to breaches. These failures don’t stop there, as they can also lead to non-compliance with standards like SOC 2, HIPAA, and PCI DSS, which require visibility into anomalies and system activity.

Common issues include:

  • Failing to log authentication attempts
  • Ignoring logs across environment
  • Changing privileges
  • Receiving unexpected input
  • Logging sensitive data in plaintext

In September 2024, Infosys McCamish Systems disclosed a significant data breach that affected up to 6.5 million records. The breach occurred between October and November 2023 but was not detected until months later. The delayed detection of the breach suggests deficiencies in their logging and monitoring practices, which should have caught the issue.

How to prevent or detect it:

  • Log all authentication events, permission changes, and failed access attempts.
  • Centralize logs using security information and event management tools like Splunk, ELK, or cloud-native logging platforms.
  • Ensure logs are tamper-proof and stored securely with appropriate retention policies.
  • Avoid logging sensitive data like passwords, tokens, or personally identifiable information in plaintext.
  • Integrate alerting and anomaly detection to respond to suspicious activity in real time.

Cryptographic failures

Cryptographic failures or “sensitive data exposure” occur when sensitive data isn’t properly protected in transit or at rest. It differs from missing encryption in that these issues usually stem from how cryptography is applied, managed, or integrated. Common examples include using broken or outdated algorithms like SHA-1 or MD5 for hashing passwords, storing API tokens in plain text, or hardcoding cryptographic keys directly into source code.

In October 2023, genetic testing company 23andMe experienced a data breach affecting nearly 7 million users. Attackers leveraged credential stuffing techniques to gain unauthorized access to user accounts, exploiting the lack of multi-factor authentication and inadequate encryption of sensitive genetic data.

How to prevent or detect it

  • Use strong, vetted cryptographic libraries.
  • Encrypt all sensitive data at rest and in transit using modern standards (e.g., AES-256, TLS 1.2+).
  • Store credentials and secrets using secure key vaults or environment-based secrets managers.
  • Avoid hardcoded keys, secrets, or tokens in your source code or version control.
  • Use SAST to detect misused crypto APIs, insecure defaults, or legacy algorithm use.

Outdated or vulnerable components

This vulnerability occurs when applications depend on third-party libraries, frameworks, or packages with known vulnerabilities due to age, neglect, or missing patches. These components may have been technically sound at one time, but security issues emerged and now any project that continues to use them inherits those risks.

Between October 16 and 19, 2023, attackers exploited a vulnerability in Citrix’s software, known as “Citrix Bleed,” to gain unauthorized access to Xfinity’s internal systems. This breach exposed personal information of 35+ million customers, including usernames, hashed passwords, and, for some, Social Security numbers and birthdates.

How to prevent or detect it

  • Use software composition analysis (SCA) tools to detect CVEs.
  • Monitor advisories for all packages and remove stale components.
  • Pin versions and avoid wildcard versioning to reduce update drift.
  • Keep your dependency metadata clean and regularly audited in CI/CD.

Server-side request forgery (SSRF)

Server-side request forgery (SSRF) happens when an attacker tricks a server into making unauthorized HTTP requests (often to internal services) by submitting a malicious or user-controlled URL. This vulnerability turns a server into a proxy, allowing attackers to reach internal-only endpoints or cloud metadata APIs.

Unlike broader API flaws, SSRF is network-oriented. It exploits the trust that backend systems place in each other, not in external callers.

In 2019, Capital One experienced a data breach affecting approximately 106 million individuals in the United States and Canada. The breach was facilitated by an SSRF vulnerability in a misconfigured Web Application Firewall (WAF), which allowed attackers to query AWS metadata endpoints and escalate privileges.

How to prevent or detect it

  • Block internal IP ranges (127.0.0.1, 169.254.x.x, 10.x, 192.168.x.x, etc.) from outbound requests.
  • Never let user input directly control internal fetch URLs.
  • Use allowlists for outbound destinations and sanitize all inputs.
  • Use SAST tools to catch indirect SSRF patterns and test endpoints with security-focused fuzzing tools.

Cross-site request forgery

Cross-site request forgery (CSRF) tricks an authenticated user’s browser into performing unintended actions on a web app. The app treats the request as legitimate because it includes valid session cookies automatically sent by the browser (even if the user never intended to make the request). For example, a logged-in user visiting a malicious page could unknowingly trigger a funds transfer or account update if protections aren’t in place.

Unlike XSS, which runs malicious code inside the browser, CSRF abuses the browser itself to submit legitimate-looking requests without the user’s intent. It’s especially harmful in apps using cookie-based auth without anti-CSRF tokens, SameSite protections, or safeguards on sensitive GET/POST actions.

In 2022, a CSRF vulnerability was discovered in Google Cloud Shell’s file upload API, allowing attackers to upload malicious files, such as a .bash_profile, to a user’s environment. This file would execute every time the user initiated a shell session, potentially leading to unauthorized command execution and compromising the user’s environment.

How to prevent or detect it

  • Use CSRF tokens that are unique per user session and validated server-side.
  • Apply SameSite=Lax or Strict attributes to cookies to limit cross-origin requests.
  • Require re-authentication or two-factor confirmation for sensitive operations.
  • Block unsafe requests by checking headers like Origin and Referer.
  • Scan for CSRF risks using SAST tools and secure design patterns.

Improper input validation

Improper input validation occurs when application security fails to enforce rules on user input, such as type, length, format, or allowed values. It’s one of the root causes behind other application security issues like SQL injection, cross-site scripting, buffer overflows, and command injection. And because input validation happens early in the data flow, it is a first line of defense for blocking malicious input before it can reach vulnerable components.

The Atlassian Confluence vulnerability mentioned above is a good example of how a single exploit can stem from multiple root causes and fall into more than one vulnerability category. In addition to being an example of broken access control, it also fits improper input validation because the exploit depended on manipulating HTTP requests and poorly validated input— which should have been caught by proper input handling.

How to prevent or detect it

  • Enforce validation at both the client and server levels using allowlists and strict patterns.
  • Use secure frameworks’ built-in validation mechanisms whenever possible.
  • Treat all input sources (URLs, headers, cookies, etc.) as untrusted by default.
  • Use SAST tools to detect unvalidated input flows and injection points across your codebase.

Directory traversal and unrestricted URLs

Directory traversal occurs when an attacker manipulates file paths to access files or directories outside the intended scope. Unrestricted URLs, often tied to Insecure Direct Object References (IDOR), allow attackers to access resources by modifying URL parameters without proper authorization. Directory traversal can expose sensitive files like logs, configuration files, or password hashes. IDOR vulnerabilities can let attackers view or alter other users’ data simply by guessing or iterating resource identifiers.

A recent instance of a directory traversal vulnerability is CVE-2017-12637 in SAP NetWeaver Application Server Java. This flaw allowed attackers to access files on the server by manipulating URL paths, potentially exposing sensitive configuration files and other data.

How to prevent or detect it

  • Avoid concatenating user input directly into file paths. Use secure file access APIs and canonical path checks.
  • Sanitize inputs to remove ../, null bytes, or encoded traversal sequences.
  • Enforce strict authorization on all resource-level requests.
  • Do not rely on obscurity; make sure predictable URLs are still access-controlled.
  • Use SAST and runtime scanners to detect file access or IDOR patterns.

Insecure deserialization

Insecure deserialization is when an application accepts serialized data like JSON, XML, or binary objects and converts it into code or objects without proper validation. If an attacker modifies that data, they can inject malicious code, escalate privileges, or trigger remote code execution during deserialization. 

Because serialization is used behind the scenes in many frameworks, insecure deserialization is often overlooked—yet it remains one of the most powerful and dangerous software security vulnerabilities.

In July 2024, a critical vulnerability was identified in the Progress Telerik Report Server. This flaw stemmed from insecure deserialization, allowing attackers to execute arbitrary code on the server by sending serialized objects. It required no authentication, so attackers could exploit it without valid credentials to gain full control over the affected server.

How to prevent or detect it

  • Avoid deserializing data from untrusted sources when possible.
  • Favor simple, structured formats like JSON over full object graphs.
  • Enforce type constraints and input validation before deserialization.
  • Disable dangerous features like object references or dynamic class loading.
  • Use SAST to detect insecure patterns and serialization APIs.

Buffer overflows

Buffer overflows occur when a program writes more data to a fixed-size memory buffer than it can accommodate, causing that data to spill into adjacent memory. This can overwrite variables, corrupt return addresses, or disrupt control flow. The issue is especially common in low-level languages like C and C++, which lack built-in memory safety features.

While often considered an “old-school” vulnerability, buffer overflows remain a real threat, especially in embedded systems, firmware, and legacy code. They can lead to remote code execution, crashes, or full system compromise when exploited, potentially allowing attackers to take full control of the system.

In December 2022, Fortinet disclosed a critical heap-based buffer overflow vulnerability in its FortiOS SSL-VPN component, identified as CVE-2022-42475. This flaw allowed unauthenticated remote attackers to execute arbitrary code or commands.

How to prevent or detect it

  • Use memory-safe languages (e.g., Java, Python, Rust) whenever feasible.
  • In C/C++, avoid unsafe functions. Use strncpy, fgets, etc.
  • Apply bounds checking and validate input lengths rigorously.
  • Enable compiler protections like stack canaries, ASLR, and DEP.
  • Find unsafe memory use with SAST or manual code reviews.

Exposed DevOps artifacts

DevOps artifacts like .env files, Dockerfiles, build logs, .git directories, and CI/CD secrets are critical during development but dangerous if left exposed. They often result from misconfigured cloud storage, careless Git commits, or overlooked build artifacts. When these files make it into production, they can leak credentials, API keys, or service configurations. Even worse, when sensitive credentials or secrets are exposed, compliance violations under frameworks like SOC 2, HIPAA, GDPR, or PCI DSS can result.

In August 2024, a vulnerability dubbed “ArtiPACKED” was discovered in GitHub Actions artifacts. This flaw could be exploited to take over repositories and gain access to organizations’ cloud environments.

How to prevent or detect it

  • Add sensitive files (e.g., .env, .git) to .gitignore and exclude from repos.
  • Use secret injection tools or environment variables instead of plaintext in pipelines.
  • Scan your repos and containers for credentials or internal configs.
  • Apply strict access controls to logs and pipeline artifacts.
  • Monitor GitHub and package registries for accidental exposure alerts.

Commonly overlooked software security vulnerabilities

The following vulnerabilities often appear in penetration tests and secure code reviews. Some exploit nuanced behaviors, while others target overlooked client-side risks.

  • Race conditions: Concurrent requests alter shared state unexpectedly. Mitigate with locks, atomic operations, or queueing strategies.
  • Business logic flaws: The app behaves as designed, but users exploit logic to gain unintended outcomes. Mitigate by manually reviewing workflows and testing edge cases.
  • Clickjacking: Transparent interface overlays trick users into clicks. Mitigate with X-Frame-Options and Content-Security-Policy: frame-ancestors.
  • XML external entity (XXE): Manipulated XML can leak local files or access internal services. Mitigate by disabling external entity resolution and using secure XML parsers.
  • Prototype pollution: JavaScript-specific bug that modifies object prototypes. Mitigate by using object sanitization libraries and avoiding unsafe merging.
  • Command injection: Shell commands built from unsanitized input. Avoid when possible and always sanitize inputs.
  • Session fixation: Attackers force users to log in with a known session ID. Mitigate by regenerating session tokens on every login and enforcing expiration policies.
  • Hardcoded credentials: Secrets stored in code can be discovered in repos or builds. Mitigate by storing secrets in environment variables or vaults, and auditing code for exposed keys.
  • DNS rebinding: Bypasses browser security to access internal network services. Mitigate by validating host headers and blocking private IP ranges in exposed services.
  • DOM-based XSS: JavaScript interprets input and injects it into the DOM unsafely. Mitigate by sanitizing and encoding all dynamic data rendered into the DOM, especially from location, document, or URL objects.
  • Token storage issues: Tokens in localStorage are accessible to XSS. Mitigate by using HttpOnly cookies with SameSite protections.

Kiuwan helps you find and fix vulnerabilities 

Every vulnerability you prevent in development is one less risk you face in production. That’s why security testing starts with the code itself. By scanning early and often, static analysis makes it easy to detect and resolve security flaws before they reach users, auditors, or attackers.

With support for 30+ programming languages, Kiuwan offers built-in detection for the most common and dangerous vulnerabilities, including those from the OWASP Top 10, CWE, and even known CVEs. And beyond detection, Kiuwan provides context-specific remediation guidance that tells you what’s wrong and how to fix it.

Request a free demo today to see how Kiuwan’s security tools can help you detect and fix vulnerabilities so you can ship safer code.

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