Can ChatGPT’s API Vulnerability Lead to Massive DDoS Attacks?

A significant security vulnerability has been discovered within OpenAI’s ChatGPT application programming interface (API), which could be exploited to launch large-scale distributed denial-of-service (DDoS) attacks on websites. This alarming flaw was identified by German security researcher Benjamin Flesch, who meticulously documented his findings on GitHub.

Exploiting API Vulnerabilities

The core of the vulnerability lies in the handling of HTTP POST requests directed to the /backend-api/attributions endpoint of the API. This specific endpoint allows users to send a list of hyperlinks through the “urls” parameter. The problem arises because there is no restriction on the number of hyperlinks that can be included in a single request. Consequently, nefarious actors can inundate the API with an overwhelming number of URLs. Moreover, OpenAI’s API does not verify if these hyperlinks lead to the same resource or if they are duplicates.

Potential Consequences

By exploiting this flaw, an attacker can include thousands of hyperlinks in one request, causing OpenAI servers to generate a massive volume of HTTP requests to the victim’s website. The subsequent surge of simultaneous connections can overload and potentially cripple the targeted website’s infrastructure. This makes the API particularly vulnerable to malicious misuse, where attackers can employ it as an amplifier for their DDoS attacks.

Lack of Defensive Measures

The absence of rate-limiting and duplicate request filtering within OpenAI’s API only exacerbates the problem. Flesch emphasized that without these critical safeguards, OpenAI inadvertently enables attackers to amplify their malicious activities. To mitigate this risk, Flesch recommends that OpenAI implement stringent limits on the number of URLs permitted per request, ensure the filtering of duplicate requests, and incorporate rate-limiting measures to reduce the potential for abuse.

Industry Insights and Concerns

Echoing Flesch’s concerns, Elad Schulman, founder and CEO of Lasso Security Inc., underscored the risks that ChatGPT crawlers pose to businesses. He pointed out that such vulnerabilities could lead to various forms of cyber-attacks, DDoS attacks among them, with severe repercussions such as reputation damage, exploitation of data, and resource depletion. Schulman highlighted the potential for hackers to exploit generative AI chatbots to exhaust a victim’s financial resources, particularly in the absence of adequate protective measures.

Summary and Recommendations

A major security vulnerability has been found in OpenAI’s ChatGPT application programming interface (API), posing a threat that could be exploited to carry out extensive distributed denial-of-service (DDoS) attacks against websites. This critical flaw was discovered by German security researcher Benjamin Flesch, who has thoroughly documented his findings and made them available on GitHub. The discovery highlights the potential for malicious actors to misuse the API, leading to significant disruptions online. Flesch’s comprehensive analysis provides detailed insights into the nature of the vulnerability and the potential risks it poses. The documentation on GitHub includes technical specifics that could be crucial for developers and security professionals looking to understand and mitigate the threat. This revelation underscores the ongoing need for rigorous security measures in software development, particularly in widely used applications like ChatGPT. OpenAI and other tech developers must take immediate action to address such vulnerabilities to ensure the safety and reliability of their platforms.

Explore more

Resilience Becomes the New Velocity for DevOps in 2026

With extensive expertise in artificial intelligence, machine learning, and blockchain, Dominic Jainy has a unique perspective on the forces reshaping modern software delivery. As AI-driven development accelerates release cycles to unprecedented speeds, he argues that the industry is at a critical inflection point. The conversation has shifted from a singular focus on velocity to a more nuanced understanding of system

Can a Failed ERP Implementation Be Saved?

The ripple effect of a malfunctioning Enterprise Resource Planning system can bring a thriving organization to its knees, silently eroding operational efficiency, financial integrity, and employee morale. An ERP platform is meant to be the central nervous system of a business, unifying data and processes from finance to the supply chain. When it fails, the consequences are immediate and severe.

When Should You Upgrade to Business Central?

Introduction The operational rhythm of a growing business is often dictated by the efficiency of its core systems, yet many organizations find themselves tethered to outdated enterprise resource planning platforms that silently erode productivity and obscure critical insights. These legacy systems, once the backbone of operations, can become significant barriers to scalability, forcing teams into cycles of manual data entry,

Is Your ERP Ready for Secure, Actionable AI?

Today, we’re speaking with Dominic Jainy, an IT professional whose expertise lies at the intersection of artificial intelligence, machine learning, and enterprise systems. We’ll be exploring one of the most critical challenges facing modern businesses: securely and effectively connecting AI to the core of their operations, the ERP. Our conversation will focus on three key pillars for a successful integration:

Trend Analysis: Next-Generation ERP Automation

The long-standing relationship between users and their enterprise resource planning systems is being fundamentally rewritten, moving beyond passive data entry toward an active partnership with intelligent, autonomous agents. From digital assistants to these new autonomous entities, the nature of enterprise automation is undergoing a radical transformation. This analysis explores the leap from AI-powered suggestions to true, autonomous execution within ERP