CVE-2024-10648
Gradio Project Gradio 2024-09-18
Raw vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2024-10648 is a high-severity Path Traversal: '\..\filename' (CWE-29) vulnerability in Gradio Project Gradio. Its CVSS base score is 8.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Junk Data (T1001.001); ranked in the top 47% 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 Supply Chain and Deployment risk domain.
The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and AC-3 (Access Enforcement) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-7103
Vulnerability Data
A path traversal vulnerability exists in the Gradio Audio component of gradio-app/gradio, as of version git 98cbcae. This vulnerability allows an attacker to control the format of the audio file, leading to arbitrary file content deletion. By manipulating the output…
more
format, an attacker can reset any file to an empty file, causing a denial of service (DOS) on the server.
- 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
- Matched keywords: gradio
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Input validation directly neutralizes the '\..\filename' sequence before pathname resolution occurs.
Access enforcement denies requests that resolve outside the intended directory even when the traversal sequence is present.
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 path sanitization that block this traversal vector.
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.
Application security requirements can mandate input validation and path canonicalization to block traversal sequences.
A.8.27 mandates security-by-design principles (least privilege, default-deny, distrust-external-input, hardening, design review against attack patterns) that reach path-traversal neutralization in many but not all cases; business-process-specific controls, outsourced development, and residual design choices leave a bounded remainder unaddressed.
Secure coding standards directly require neutralizing path traversal sequences such as '\..\filename'.
Security testing can discover path-traversal flaws but does not itself prevent them in production code.