Cyber Resilience

CVE-2022-24770

High

Published: 17 March 2022

Published
17 March 2022
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 8.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS Score 0.0059 69.7th percentile
Risk Priority 18 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-24770 is a high-severity Improper Neutralization of Formula Elements in a CSV File (CWE-1236) vulnerability in Gradio Project Gradio. Its CVSS base score is 8.8 (High).

Operationally, ranked in the top 30.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Machine Learning Libraries.

EU & UK References

Vulnerability details

`gradio` is an open source framework for building interactive machine learning models and demos. Prior to version 2.8.11, `gradio` suffers from Improper Neutralization of Formula Elements in a CSV File. The `gradio` library has a flagging functionality which saves input/output…

more

data into a CSV file on the developer's computer. This can allow a user to save arbitrary text into the CSV file, such as commands. If a program like MS Excel opens such a file, then it automatically runs these commands, which could lead to arbitrary commands running on the user's computer. The problem has been patched as of `2.8.11`, which escapes the saved csv with single quotes. As a workaround, avoid opening csv files generated by `gradio` with Excel or similar spreadsheet programs.

CWE(s)

AI Security AnalysisAI

AI Category
Machine Learning Libraries
Risk Domain
N/A
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: machine learning

Related Threats

Affected Assets

gradio project
gradio
≤ 2.8.11

Mitigating Controls

No mitigating controls mapped yet. The per-CVE control annotator has not reached this CVE.

References