Chatbots, APIs, and the Hidden Risks Inside Your Application Stack

Asma Zubair

What happens when a legacy application quietly slips under the radar and ends up at the center of a security incident involving AI and APIs? For one global organization, this scenario played out in real time when an unusual chatbot behavior sparked a closer look into their recruitment platform, revealing a set of compounding risks.

While no system is perfect, this real-world case offers valuable insight into how modern application environments, especially those blending legacy assets with AI workloads, can quietly accumulate meaningful risk, exposing unexpected security challenges.

Anatomy of the Incident: Legacy Application Meets Modern Cyber Risk

On June 20, 2025, a recruitment chatbot began responding unexpectedly during a routine screening process. The unusual behavior drew attention online and prompted independent security researchers to take a closer look. Their review highlighted a series of application security issues, gaps that illustrate how important consistent hygiene and visibility are in modern environments.

At first glance, the chatbot platform appeared to function normally. But once the researchers interacted with it and submitted an application, additional layers of the system came into view.

  1. A legacy web application, inactive since 2019, was still publicly accessible and unpatched—A classic example of how easily “forgotten” assets can remain overlooked in dynamic environments.
  2. Weak credential hygiene provided a pathway to the underlying system, including access to the backend candidate data.
  3. An exposed API allowed interaction with user conversations through parameter manipulation.
  4. An insecure direct object reference (IDOR) vulnerability allowed researchers to iterate on user IDs and access other applicants’ personal data, including names, emails, and job histories.

Adding to the complexity, a compromised admin device introduced malware into the environment, demonstrating how human and endpoint risk factors often intersect with application security and can amplify app-layer exposures.

From Oversight to Insight: Small Gaps Can Create Outsized Impact

This incident wasn’t about a single point of failure. It resulted from the combination of several small, individually manageable issues that grew into a larger risk surface.

Common contributing factors included:

  • Legacy exposure: The web application had been neither decommissioned or maintained, but still remained publicly accessible.
  • Credential hygiene: Weak passwords that didn’t meet modern security standards, exposing the system to credential stuffing attacks.
  • API security gaps: Missing access controls and input validation on APIs led to unauthorized access and data exposure.
  • Visibility limitations: Lack of discovery or monitoring left the dormant app out of scope.

Why It Matters: The Application Attack Surface Keeps Expanding

This is not an isolated story. According to the Verizon 2025 Data Breach Investigations Report (DBIR), web applications remain the most common vector for breaches, not due to negligence, but because of the scale, sprawl, and speed of modern application environments, making them attractive and accessible targets for threat actors.

Top attack vectors in breaches:
(Source: Verizon DBIR 2025)

The report also found that vulnerabilities in web apps, APIs and AI workloads are on the rise, especially where automation, microservices, and legacy systems intersect. This trend reflects the growing sophistication of attackers, who are increasingly adept at stitching together multiple low-complexity issues.

Exploitation of vulnerabilities in non-error, non-misuse breaches:
(Source: Verizon DBIR 2025)

How to Build Resilience into Your Application Security Strategy

As web applications, APIs, and AI workloads expand the attack surface, the answer isn’t more complexity but greater integration. When security is approached as a connected discipline rather than a collection of point solutions, organizations can shrink exposure, build resilience, and operate with confidence.

Every information security program can address these challenges by focusing on a few core principles:

  1. Comprehensive discovery: Start with complete visibility. Maintain an always-updated inventory of web applications, APIs, and AI workloads—both internal and external—to establish the full scope of your attack surface.
  2. Ongoing risk assessment: Go beyond discovery. Continuously assess vulnerabilities, misconfigurations, open-source risks, and third-party components across every web, API, and AI asset.
  3. Risk-based prioritization: Not all issues are equal. Prioritize based on asset criticality, threat context, and severity so remediation targets the most impactful risks first.
  4. Automated remediation at scale: Assessment alone isn’t enough. Integrate automated remediation and patching into DevOps pipelines to accelerate fixes, while unifying tools, teams, and workflows to strengthen security posture.
  5. Proactive monitoring: Threats evolve quickly. Continuously monitor production systems for exploit attempts, anomalies, and new risks to stay ahead of attackers.

What a Modern Application Security Solution Should Deliver

As application environments grow more complex, traditional testing tools aren’t enough. Security teams need platforms that help them discover hidden assets, assess risks with context, and prioritize remediation effectively.

For example:

  • Discover hidden or legacy assets before attackers do.
  • Detect complex vulnerabilities like IDORs or weak authentication, with context and clarity.
  • Support security testing for web, API, and LLM workloads in both pre-production and production stages.
  • Provide full OWASP Top 10 coverage and support secure development from day one.

Beyond features, a well-chosen security platform can build trust across teams and technology, align with evolving business priorities, and provide a foundation for sustainable, long-term growth, unlocking new possibilities and innovation across your organization.

The Qualys Advantage: Shielding Your Entire Application Stack

To tackle the complex risks across web apps, APIs, and AI workloads, organizations need a solution that connects discovery, assessment, and remediation seamlessly.

Discover What Others Miss

Unmaintained applications often linger unnoticed, creating hidden liabilities. Maintaining an up-to-date inventory of web applications, APIs, and AI assets is critical to ensuring full coverage. Qualys TotalAppSec provides a unified view of the entire application landscape, helping teams proactively identify overlooked assets like the outdated web application highlighted in the chatbot incident.

Key capabilities include:

  • Comprehensive inventory built from multiple sources, including cloud environments, API gateways, and internal/external scans.
  • Visibility into internal and internet-facing web apps, APIs, and AI workloads.
  • Automated inventory updates at configurable intervals to ensure data remains current.
  • A centralized dashboard displaying asset status and streamlined workflows for onboarding untested assets.
Web application attack surface discovery with Qualys TotalAppSec

APIs attack surface discovery with Qualys TotalAppSec

These capabilities help identify overlooked assets, like the outdated web application in the chatbot incident, so threats can be addressed proactively.

Assess With Precision

Qualys offers deep, purpose-built risk assessment across web applications, APIs, and LLMs.

This includes:

  • Comprehensive security testing for web applications, covering the OWASP Top 10, as well as detection of sensitive data leakage, misconfigurations, and insecure authentication.
  • Purpose-built API security testing, designed to detect OWASP API Top 10 vulnerabilities, sensitive data exposure, misconfigurations, non-conformance to Open API Specifications, and hard-to-find issues like broken object level authorization (BOLA).
  • LLM-specific security testing, tailored to detect risks such as prompt injection, hallucination, misinformation, denial-of-service (DoS), knowledge base abuse, and other threats unique to AI/LLM workloads.
  • Toxic combination detection, identifying high-risk scenarios such as an orphaned web application using insecure authentication and calling an API with an IDOR vulnerability.

Qualys flags weak credentials—like those exploited in the chatbot breach—as a distinct vulnerability (QID: 150049)

With a proactive security platform like Qualys, issues such as IDOR vulnerabilities, poor password hygiene, and misconfigured API endpoints can be surfaced early before they’re exploited. This allows organizations to address risks in advance and better protect sensitive data, such as candidate information.

Prioritize and Remediate Smarter

Most organizations face more vulnerabilities than they have resources to fix, making prioritization and remediation essential features of any security solution.

With Qualys, you can focus on what matters most by prioritizing vulnerabilities based on asset criticality and real-world threat context. The platform integrates with over 25+ threat intelligence feeds to gather key indicators such as exploit availability, CISA due dates, associated malware, and active attacker activity.

This data is used to calculate:

The Qualys integrations support automated triaging, remediation, and retesting, enabling faster response earlier in the development lifecycle. For patchable vulnerabilities, TruRisk Eliminate helps teams reduce risk with minimal manual effort.

Automated discovery surfaces what often goes unseen: forgotten applications or exposed APIs that quietly expand the attack surface. Automated prioritization takes the next step, weighing those exposures against context and impact to pinpoint which vulnerabilities demand attention first. Together, they reframe vulnerability management as a driver of resilience, where security decisions are guided by business context, not just technical urgency.

Monitor for Exploitation

Modern attacks don’t always rely on known malware signatures. That’s why Qualys TotalAppSec applies deep learning through Web Malware Detection to spot exploit attempts with up to 99% accuracy, even in zero-day scenarios. By surfacing early indicators of suspicious endpoint behavior, it helps security teams investigate faster, as in the chatbot incident where an admin device was compromised, reducing downstream risks like the misuse of credentials.

Final Thought: Operationalize Risk Management for Elevated Application Security

Incidents like the chatbot case aren’t about pointing fingers. They highlight something more fundamental: risk rarely announces itself. It slips into everyday systems and interactions, often unnoticed until it surfaces in the headlines. For security teams, that’s the reminder: The attack surface is growing, and so is complexity.

Application security in this landscape isn’t a one-time exercise. It’s a discipline of ongoing visibility, prioritization, and response. Modern approaches like Qualys TotalAppSec are designed with exactly that in mind: giving organizations a clear, connected way to reduce risk without slowing innovation, a shield they can count on as they move forward.

Looking to take the next step in your application security journey? Your Technical Account Manager (TAM)and Qualys Support are here to help you get ahead with clarity and confidence. Connect with your TAM today to shape the path that works best for your organization.


Discover how Qualys TotalAppSec unifies application security from code to runtime


Share your Comments

Comments

Your email address will not be published. Required fields are marked *