Cyber Resilience

CVE-2024-1729

Race Condition in Gradio Project Gradio 4.18.0 – 4.19.2

Public PoCRace Condition
Published
29 March 2024
Modified
17 June 2026
Patch / advisory
CVSS Score v3 5.9
Click a component to see what it means
Raw vectorCVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.0050 40th percentile
Risk Priority 46 floored blend · peak EPSS

Summary

CVE-2024-1729 is a medium-severity Time-of-check Time-of-use (TOCTOU) Race Condition (CWE-367) vulnerability in Gradio Project Gradio. Its CVSS base score is 5.9 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Path Interception (T1034); ranked at the 40th percentile by exploit likelihood (below the median); 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 Supply Chain and Deployment risk domain.

The strongest mitigations our analysis identified map to AC-25 (Reference Monitor) and AC-3 (Access Enforcement) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

A timing attack vulnerability exists in the gradio-app/gradio repository, specifically within the login function in routes.py. The vulnerability arises from the use of a direct comparison operation (`app.auth[username] == password`) to validate user credentials, which can be exploited to guess…

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passwords based on response times. Successful exploitation of this vulnerability could allow an attacker to bypass authentication mechanisms and gain unauthorized access.

CWE(s)

AI Security AnalysisAI

AI Category
Machine Learning Libraries
Risk Domain
Supply Chain and Deployment
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Gradio is an open-source Python library used to create web-based user interfaces for machine learning models and demos, functioning as a platform for AI/ML application deployment and sharing.

Related Threats

MITRE ATT&CK Enterprise Techniques

T1034 Path Interception Persistence
**This technique has been deprecated.
T1548 Abuse Elevation Control Mechanism Privilege Escalation
Adversaries may circumvent mechanisms designed to control privilege elevation to gain higher-level permissions.
T1574 Hijack Execution Flow Stealth
Adversaries may execute their own malicious payloads by hijacking the way operating systems run programs.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-4253Same product: Gradio Project Gradio
CVE-2024-4940Same product: Gradio Project Gradio
CVE-2026-10783Same product: Gradio Project Gradio
CVE-2024-1727Same product: Gradio Project Gradio
CVE-2024-8021Same product: Gradio Project Gradio
CVE-2023-25823Same product: Gradio Project Gradio
CVE-2023-34239Same product: Gradio Project Gradio
CVE-2024-2206Same product: Gradio Project Gradio
CVE-2024-1728Same product: Gradio Project Gradio
CVE-2024-10648Same product: Gradio Project Gradio

Affected Assets

gradio project
gradio
4.18.0 — 4.19.2

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V15.4.2
  • V17.2.6

Mitigating Controls (NIST 800-53 r5) AI

A reference monitor that is always invoked and analyzable structurally eliminates the non-atomic check-then-use pattern underlying TOCTOU.

Access enforcement that performs an atomic check-and-use decision directly stops the window in which a TOCTOU race can be exploited.

Process isolation limits the blast radius of a successful TOCTOU exploitation but does not remove the race itself.

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.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly include coding standards and reviews that prevent TOCTOU race conditions.

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.

none

Reliable, synchronized time across systems narrows the exploitable window in which a resource state can change between a security check and its use.

References