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...

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,...

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...

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...

CVE-2026-31239

The mamba language model framework (version 2.2.6 and earlier ) is vulnerable to insecure deserialization (CWE-502) when loading pre-trained models from the HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method utilizes torch.load() to process the pytorch_model.bin weight file without th...

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 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...

GLiNER Guard: Unified Encoder Family for Production LLM Safety and Privacy

Production LLM systems require both safety moderation and PII detection under strict latency and cost constraints. This creates a trade-off: autoregressive moderators are accurate but expensive, while lightweight encoders are faster but less capable. We present GLiNER Guard GLiGuard, a unified...

SGLang has an Improper Input Validation/Injection Issue

A vulnerability was detected in sgl-project SGLang up to 0.5.9. Impacted is the function gettokenizer of the file python/sglang/srt/utils/hftransformersutils.py of the component HuggingFace Transformer Handler. The manipulation results in deserialization. The attack can be executed remotely. A hi...

Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')

Overview sglang is a SGLang is a fast serving framework for large language models and vision language models. Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Output Used by a Downstream Component 'Injection' via the gettokenizer function in the...

CVE-2026-7669

A vulnerability was detected in sgl-project SGLang up to 0.5.9. Impacted is the function gettokenizer of the file python/sglang/srt/utils/hftransformersutils.py of the component HuggingFace Transformer Handler. The manipulation of the argument trustremotecode with the input False as part of Boole...

CVE-2026-7669 sgl-project SGLang HuggingFace Transformer hf_transformers_utils.py get_tokenizer code injection

A vulnerability was detected in sgl-project SGLang up to 0.5.9. Impacted is the function gettokenizer of the file python/sglang/srt/utils/hftransformersutils.py of the component HuggingFace Transformer Handler. The manipulation of the argument trustremotecode with the input False as part of Boole...

CVE-2026-7669

Affected software: sgl-project SGLang (up to 0.5.9). The vulnerability targets the function get_tokenizer in python/sglang/srt/utils/hf_transformers_utils.py within the HuggingFace Transformer Handler. Root cause is deserialization triggered by input manipulation. Impact is remote execution with ...