CVE-2024-4940
Open Redirect in Gradio Project Gradio 4.36.0
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:NSummary
CVE-2024-4940 is a medium-severity Open Redirect (CWE-601) vulnerability in Gradio Project Gradio. Its CVSS base score is 6.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Phishing (T1566); ranked in the top 40% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Machine Learning Libraries; in the Other ATLAS/OWASP Terms risk domain.
The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and AC-4 (Information Flow Enforcement) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
An open redirect vulnerability tracked as CVE-2024-4940 affects the latest version of gradio-app/gradio. The flaw arises from improper validation of user-supplied input during URL handling and is assigned CWE-601 with a CVSS 3.1 score of 6.1.
An unauthenticated attacker can supply a crafted URL that causes the application to redirect victims to an arbitrary external site. Successful exploitation can be chained into phishing campaigns, cross-site scripting, server-side request forgery, or other follow-on attacks that rely on the redirected user context.
EPSS for the CVE remains flat at 0.0724 with no material rise from its recorded peak. The issue was disclosed via a huntr.com bounty entry.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-2050
Vulnerability Data
An open redirect vulnerability exists in the gradio-app/gradio, affecting the latest version. The vulnerability allows an attacker to redirect users to arbitrary websites, which can be exploited for phishing attacks, Cross-site Scripting (XSS), Server-Side Request Forgery (SSRF), amongst others. This…
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issue is due to improper validation of user-supplied input in the handling of URLs. Attackers can exploit this vulnerability by crafting a malicious URL that, when processed by the application, redirects the user to an attacker-controlled web page.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Machine Learning Libraries
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Gradio is an open-source Python library for creating web-based UIs and demos for machine learning models, fitting as an 'Other Platforms' category for AI/ML deployment tools. The vulnerability is an open redirect in a tool used in AI/ML workflows, confirmed AI-related via huntr.com AI/ML bounty platform.
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V3.7.2
Mitigating Controls (NIST 800-53 r5) AI
Input validation directly checks and rejects untrusted redirect targets before they are used in a response.
Information flow enforcement can restrict redirects to only approved/trusted destinations, stopping untrusted user-supplied URLs from being followed.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require input validation and untrusted-redirect controls that prevent CWE-601.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Preventing access to attacker-controlled or malicious sites stops users from being redirected to untrusted locations via open-redirect or phishing links.