Close Menu
  • Home
  • Articles
    • Attacks
      • BEC
      • Data Breach
      • DDoS
      • Evasion Attacks
      • Injection
      • Malware
      • MITM
      • Phishing
      • Ransomware
      • RCE
      • Social Engineering
      • Spoofing
      • Spyware
    • Business and Policy
      • BCP and DRP
      • GRC
      • Regulations
    • Data Protection
      • DLP
      • DRM
      • Encryption
      • IAM
    • Future, Trends and Insight
      • AI
      • Events & Community
      • Emerging Tech
      • Expert Panel
      • Interviews With Experts
      • Insights
      • Study & Research
    • Resources
      • Guides
      • Tools
      • Training & Education
    • Security
      • API
      • Apps
      • Cloud
      • Critical Infrastructure
      • Endpoint
      • Hardware
      • IoT
      • Mobile
      • Network
      • OT
      • Port Security
      • Security Architecture
      • Software Development
      • Supply Chain
      • Zero Trust
    • Threats and Vulnerabilities
      • Emerging Threats
      • Insider Threats
      • Risk Management
      • Threat Intelligence
      • Zero Day
  • News and Exclusives
    • Latest News
    • ISB Exclusive
    • Positive News
  • Who We Are
    • About Us
    • Information Security Buzz Expert Panel​
    • Write for Us
    • Media Pack
  • Contact Us
  • Newsletter
Facebook X (Twitter) LinkedIn
Facebook X (Twitter) LinkedIn
Information Security BuzzInformation Security Buzz
  • Home
  • Articles
    • Attacks
      • BEC
      • Data Breach
      • DDoS
      • Evasion Attacks
      • Injection
      • Malware
      • MITM
      • Phishing
      • Ransomware
      • RCE
      • Social Engineering
      • Spoofing
      • Spyware
    • Business and Policy
      • BCP and DRP
      • GRC
      • Regulations
    • Data Protection
      • DLP
      • DRM
      • Encryption
      • IAM
    • Future, Trends and Insight
      • AI
      • Events & Community
      • Emerging Tech
      • Expert Panel
      • Interviews With Experts
      • Insights
      • Study & Research
    • Resources
      • Guides
      • Tools
      • Training & Education
    • Security
      • API
      • Apps
      • Cloud
      • Critical Infrastructure
      • Endpoint
      • Hardware
      • IoT
      • Mobile
      • Network
      • OT
      • Port Security
      • Security Architecture
      • Software Development
      • Supply Chain
      • Zero Trust
    • Threats and Vulnerabilities
      • Emerging Threats
      • Insider Threats
      • Risk Management
      • Threat Intelligence
      • Zero Day
  • News and Exclusives
    • Latest News
    • ISB Exclusive
    • Positive News
  • Who We Are
    • About Us
    • Information Security Buzz Expert Panel​
    • Write for Us
    • Media Pack
  • Contact Us
  • Newsletter
Subscribe
Information Security BuzzInformation Security Buzz
Home - Latest News - Critical Vulnerability in ChatGPT API Enables Reflective DDoS Attacks
Latest News API Security Artificial Intelligence DDoS News & Analysis Threats and Vulnerabilities

Critical Vulnerability in ChatGPT API Enables Reflective DDoS Attacks

Kirsten DoyleBy Kirsten DoyleJanuary 21, 2025Updated:January 21, 20253 Mins Read
Share LinkedIn Twitter Facebook Copy Link Email
critical-vulnerability-chatgpt-api-reflective-ddos-attacks
Share
Facebook Twitter LinkedIn Email Copy Link
Quick AI Summary
ChatGPTClaudeGeminiGrokPerplexityDeepSeekCopilot

A concerning security flaw has been identified in OpenAI’s ChatGPT API, allowing malicious actors to execute Reflective Distributed Denial of Service (DDoS) attacks on arbitrary websites. This vulnerability, rated with a high severity CVSS score of 8.6, stems from improper handling of HTTP POST requests to the endpoint https://chatgpt.com/backend-api/attributions.

A Reflection Denial of Service attack leverages a potentially legitimate third-party component to redirect attack traffic toward a targeted victim.

The API lets users submit a list of hyperlinks via the urls parameter. However, due to poor input validation, the API fails to check for duplicate hyperlinks or enforce a limit on the number of links submitted. This, unfortunately, enables antagonists to transmit thousands of hyperlinks in a single request.

Upon receiving the request, OpenAI’s servers—hosted on Microsoft Azure—initiate one HTTP request for each hyperlink, resuling in a massive number of simultaneous requests to the specified target website, overwhelming its resources and potentially causing downtime.

The ChatGPT crawler, operating across multiple Azure IP ranges, makes the issue worse by not limiting duplicate requests or the number of connections to the same domain.

Amplification Potential

This flaw provides a substantial amplification factor for DDoS attacks, as malefactors can exploit OpenAI’s infrastructure to target third-party websites. The defect impacts availability but does not affect the confidentiality or integrity of data.

A proof-of-concept script highlights the vulnerability by sending 50 HTTP requests from OpenAI servers to a test domain. Log files from the target server revealed simultaneous connection attempts from various Azure-based IP addresses, illustrating the potential damage this flaw could cause in real-world scenarios.

Disclosure Challenges

The vulnerability was discovered in early January 2025 and disclosed responsibly to OpenAI and Microsoft. However, multiple attempts to report the issue through official channels, including BugCrowd, email, and security contact forms, have yielded no meaningful response.

OpenAI’s security team and Microsoft’s Azure operations team have not acknowledged the defect, and no mitigation steps have been announced as of 10 January  2025.

A “Staggering” Potential for Financial Harm

“ChatGPT crawlers initiated via chatbots pose significant risks to businesses, including damage to reputation, data exploitation, and resource depletion through attacks such as DDoS and Denial-of-Wallet,” comments Elad Schulman, CEO and founder of GenAI security company Lasso.

Bad actors targeting GenAI chatbots can exploit chatbots to drain a victim’s financial resources, particularly in the absence of necessary protections, he adds. By leveraging these techniques, malicious actors can easily spend a monthly budget on an LLM-based chatbot in only one day.

“For B2C enterprises, the potential financial harm at scale is staggering. With the rapid adoption and exponential growth of chatbot usage, it is crucial for companies to strengthen their cybersecurity measures when it comes to GenAI and implement the necessary guardrails to mitigate these risks and other emerging threats effectively,” Schulman ends.

Kirsten Doyle
Kirsten Doyle
Information Security Buzz News Editor

Kirsten Doyle has been in the technology journalism and editing space for nearly 24 years, during which time she has developed a great love for all aspects of technology, as well as words themselves. Her experience spans B2B tech, with a lot of focus on cybersecurity, cloud, enterprise, digital transformation, and data centre. Her specialties are in news, thought leadership, features, white papers, and PR writing, and she is an experienced editor for both print and online publications.

  • Kirsten Doyle
    Gemini crosses the line in cybersecurity test
  • Kirsten Doyle
    Texas utility CenterPoint confirms breach after attacker leaks customer data
  • Kirsten Doyle
    Rogue AI agents put trusted access under scrutiny
  • Kirsten Doyle
    Prophet Security research finds AI is cutting SOC investigation times, but nearly half of in-house builds fail to stick

The opinions expressed in this post belong to the individual contributors and do not necessarily reflect the views of Information Security Buzz.

Share. Facebook Twitter LinkedIn Email Copy Link

Related Posts

Winners Named at Security Serious Unsung Heroes Awards 2026

October 26, 20267 Mins Read

Best Cybersecurity Marketing Agencies for B2B

October 19, 202615 Mins Read

8 Chainguard alternatives and complements with language library coverage

October 16, 202623 Mins Read
ISB-Bora-Side-Bar
 
ISB-Bora-Side-Bar

Type above and press Enter to search. Press Esc to cancel.

Manage Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
  • Manage options
  • Manage services
  • Manage {vendor_count} vendors
  • Read more about these purposes
View preferences
  • {title}
  • {title}
  • {title}