Bug 2424734 (CVE-2025-14924)

Summary: CVE-2025-14924 transformers: code execution when processing a malicious megatron_gpt2 model file
Product: [Other] Security Response Reporter: OSIDB Bzimport <bzimport>
Component: vulnerabilityAssignee: Product Security DevOps Team <prodsec-dev>
Status: NEW --- QA Contact:
Severity: high Docs Contact:
Priority: high    
Version: unspecifiedCC: alinfoot, anpicker, bbrownin, bparees, carogers, dfreiber, drow, dtrifiro, erezende, haoli, hasun, hkataria, jajackso, jburrell, jcammara, jfula, jkoehler, jmitchel, jneedle, jowilson, jwong, kegrant, koliveir, kshier, lphiri, mabashia, nyancey, omaciel, ometelka, pbraun, ptisnovs, rbryant, shvarugh, simaishi, smcdonal, stcannon, syedriko, teagle, tfister, thavo, ttakamiy, vkumar, weaton, xdharmai, yguenane
Target Milestone: ---Keywords: Security
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Hardware: All   
OS: Linux   
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A flaw was found in the Hugging Face Transformers library. The parsing of checkpoints fails to validate user-supplied data, causing a deserialization of untrusted data. An attacker can exploit this issue by providing a malicious megatron_gpt2 model, resulting in arbitrary code execution in the context of the current process processing the file.
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oVirt Team: --- RHEL 7.3 requirements from Atomic Host:
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Description OSIDB Bzimport 2025-12-23 22:03:15 UTC
Hugging Face Transformers megatron_gpt2 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.

The specific flaw exists within the parsing of checkpoints. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-27984.