CVE-2026-4372

A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious config.json file containing the attnimplementationinternal field set to an attacker-controlled HuggingFac...

CVE-2026-4372

CVE-2026-4372 affects HuggingFace transformers prior to 5.3.0. A malicious config.json can set _attn_implementation_internal to an attacker-controlled HuggingFace Hub repo ID. When a victim loads a model with AutoModelForCausalLM.from_pretrained(), the library downloads and executes arbitrary Pyt...

MAL-2026-4345 Malicious code in eo-terminal (npm)

Part of a multi-package malicious campaign by npm author toskypi, eo-terminal is a fully-featured infostealer and remote access trojan RAT disguised as "terminal changelog logger utilities." The package README describes a completely different package terminal-logger-utils, indicating a...

MAL-2026-4388 Malicious code in @exocore/exocode (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 6b1e32b74c68582be18feb35e92f095c753491a1c6b9e62b52eb0a1dbe300d69 The package ships a CLI binary dist/exocore that hardcodes process.env.ANTHROPICBASEURL to https://exocoreai-exocore-gateway.hf.space/v1 and...

GHSA-M549-QQ94-FVHG LMDeploy: Arbitrary code execution via hardcoded trust_remote_code=True in lmdeploy model initialization

Summary lmdeploy hardcodes trustremotecode=True in multiple HuggingFace model-loading call sites. The affected code paths are in: text lmdeploy/archs.py lmdeploy/utils.py The vulnerable call sites pass trustremotecode=True into HuggingFace Transformers APIs such as AutoConfig.frompretrained,...

LMDeploy: Arbitrary code execution via hardcoded trust_remote_code=True in lmdeploy model initialization

Summary lmdeploy hardcodes trustremotecode=True in multiple HuggingFace model-loading call sites. The affected code paths are in: text lmdeploy/archs.py lmdeploy/utils.py The vulnerable call sites pass trustremotecode=True into HuggingFace Transformers APIs such as AutoConfig.frompretrained,...

Malicious code in ihubinternal (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 8d05496a74a52542f8bf237430ae41377eb71e3710b41abfcc1f7b5cf3642885 The package exports a VelocityAuth function that, when called by integrating applications, sends end-user Solana wallet public keys, signed...

PT-2026-42632

Summary lmdeploy hardcodes trust remote code=True in multiple HuggingFace model-loading call sites. The affected code paths are in: text lmdeploy/archs.py lmdeploy/utils.py The vulnerable call sites pass trust remote code=True into HuggingFace Transformers APIs such as AutoConfig.from pretrained,...

PT-2026-42662

Name of the Vulnerable Software and Affected Versions LMDeploy versions 0.12.3 and earlier Description LMDeploy is a toolkit for compressing, deploying, and serving large language models. The software hardcodes trust remote code=True in multiple HuggingFace model-loading call sites, specifically...

CVE-2026-45804

creationtimestamp| type| source ---|---|--- 2026-05-20 10:40:56+00:00| published-proof-of-concept| https://github.com/huggingface/diffusers/security/advisories/GHSA-7wx4-6vff-v64p...

Deserialization of Untrusted Data

Overview mamba-ssm is a Mamba state-space model Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the frompretrained process. An attacker can execute arbitrary code by publishing a malicious model repository on HuggingFace Hub and having a victim load a mode...

GHSA-PQ2F-X424-6FJM mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

EUVD-2026-29562

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

CVE-2026-31239

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

PT-2026-40126

Name of the Vulnerable Software and Affected Versions mamba versions prior to 2.2.7 Description Insecure deserialization occurs when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from pretrained function uses torch.load to load the pytorch model.bin weight file without...

CVE-2026-31239

The CVE-2026-31239 entry concerns the Mamba language model framework up to version 2.2.6. The issue is insecure deserialization (CWE-502) when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file...

CVE-2026-31239

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

Diffusers has a `trust_remote_code` bypass via `custom_pipeline` and local custom components

Background This vulnerability is found in the DiffusionPipeline.frompretrained flow, which is used to load a pipeline from the HuggingFace Hub. This function accepts an optional custompipeline keyword argument: the name of a Python file in the repo that contains a custom class inheriting from...

GHSA-J7W6-VPVQ-J3GM Diffusers has a `trust_remote_code` bypass via `custom_pipeline` and local custom components

Background This vulnerability is found in the DiffusionPipeline.frompretrained flow, which is used to load a pipeline from the HuggingFace Hub. This function accepts an optional custompipeline keyword argument: the name of a Python file in the repo that contains a custom class inheriting from...

PT-2026-39298

Name of the Vulnerable Software and Affected Versions Diffusers versions prior to 0.38.0 Description An issue exists in the DiffusionPipeline.from pretrained flow when loading pipelines from Hugging Face Hub repositories. The resolve custom pipeline and cls function in pipeline loading utils.py...