AI / ML CVE-2026-32097
HIGHSeverity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Primary rating from GitHub Advisory · only source for this CVE.
CVSS VectorGitHub Advisory
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Lifecycle Timeline
2DescriptionGitHub Advisory
PingPong is a platform for using large language models (LLMs) for teaching and learning. Prior to 7.27.2, an authenticated user may be able to retrieve or delete files outside the intended authorization scope. This issue could result in retrieval or deletion of private files, including user-uploaded files and model-generated output files. Exploitation required authentication and permission to view at least one thread for retrieval, and authentication and permission to participate in at least one thread for deletion. This vulnerability is fixed in 7.27.2.
AnalysisAI
Authenticated users in PingPong versions prior to 7.27.2 can access and delete files beyond their authorization scope, potentially exposing or removing private user files and model outputs. An attacker with valid credentials and thread access can exploit improper access controls to retrieve or delete sensitive data belonging to other users. No patch is currently available for this high-severity vulnerability affecting the AI/ML teaching platform.
Technical ContextAI
This vulnerability (CWE-639: Authorization Bypass Through User-Controlled Key) affects for teaching and learning.. PingPong is a platform for using large language models (LLMs) for teaching and learning. Prior to 7.27.2, an authenticated user may be able to retrieve or delete files outside the intended authorization scope. This issue could result in retrieval or deletion of private files, including user-uploaded files and model-generated output files. Exploitation required authentication and permission to view at least one thread for retrieval, and authentication and permission to participate in at least one
RemediationAI
Fixed in version 7.27.2..
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Same technique Authentication Bypass
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External POC / Exploit Code
Leaving vuln.today