Huggingface vulnerabilities
We track 22 vulnerabilities in Huggingface products across 10 products. 22 are rated high or critical, and none are known to be exploited. The most recent was published on October 23, 2026.
Latest Huggingface vulnerabilities
- 8.8 High severity
datasets: Deserialization of Untrusted Data
Hugging Face Datasets before 5.2.0 contains an insecure deserialization vulnerability that allows attackers to execute arbitrary Python code by crafting a malicious pickle file loaded through the deprecated pandas packaged builder. Attackers can supply a pickl
- 7.1 High severity
accelerate: Improper Limitation of a Pathname to a Restricted Directory
Hugging Face Accelerate through 1.14.0 contains a path traversal vulnerability in load_checkpoint_in_model and load_checkpoint_and_dispatch functions that fail to sanitize weight_map entries from sharded checkpoint indexes. Attackers can supply relative paths
- 8.8 High severity
peft: Deserialization of Untrusted Data
Hugging Face peft's LoRA-GA and CorDA initialization modules (src/peft/tuners/lora/corda.py lines ~102 and ~163, and src/peft/tuners/lora/loraga.py line ~101) call torch.load on config-specified cache/covariance files without weights_only=True, bypassing peft'
- 7.1 High severity
huggingface/transformers: Improper Limitation of a Pathname to a Restricted Directory
A vulnerability in huggingface/transformers versions <=5.8.0.dev0 allows an attacker to perform arbitrary file writes via path traversal. The issue resides in the `save_pretrained()` methods of `PreTrainedTokenizerBase` and `ProcessorMixin`, where keys from th
- 8.6 High severity
text-generation-inference: Server-Side Request Forgery
text-generation-inference through 3.3.7 contains a server-side request forgery (SSRF) vulnerability in the OpenAI-compatible multimodal chat completions endpoint that allows unauthenticated network attackers to coerce the server into issuing arbitrary HTTP GET
- 7.5 High severity
diffusers: Time-of-check Time-of-use (TOCTOU) Race Condition
Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, Diffusers' DiffusionPipeline.from_pretrained flow can bypass the trust_remote_code guard because download() validates model_index.json and custom pipeline code before later loading fr
- 9.6 Critical severity
huggingface/transformers: Inclusion of Functionality from Untrusted Control Sphere
A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, inte
- 7.8 High severity
huggingface/transformers: Deserialization of Untrusted Data
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 `_attn_implementation_internal` fi
- 8.8 High severity
diffusers: Improper Control of Generation of Code
Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trust_remote_code=True safeguard when loading pipelines from Hugging Face Hub repositories. The _resolve_custom_pipeline_and_
- 8.8 High severity
diffusers: Improper Control of Generation of Code
Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, a trust_remote_code bypass in DiffusionPipeline.from_pretrained allows arbitrary remote code execution despite the user passing trust_remote_code=False (or omitting it, which is the d
- 7.8 High severity
huggingface/transformers: Deserialization of Untrusted Data
A vulnerability in the HuggingFace Transformers library, specifically in the `Trainer` class, allows for arbitrary code execution. The `_load_rng_state()` method in `src/transformers/trainer.py` at line 3059 calls `torch.load()` without the `weights_only=True`
- 10.0 Critical severity
smolagents: Improper Neutralization of Special Elements in Output Used by a Downstream Component
A weakness has been identified in huggingface smolagents 1.25.0.dev0. This affects the function evaluate_augassign/evaluate_call/evaluate_with of the file src/smolagents/local_python_executor.py of the component Incomplete Fix CVE-2025-9959. This manipulation
- 9.8 Critical severity
smolagents: Server-Side Request Forgery
A weakness has been identified in huggingface smolagents 1.24.0. Impacted is the function requests.get/requests.post of the component LocalPythonExecutor. Executing a manipulation can lead to server-side request forgery. It is possible to launch the attack rem
- 7.5 High severity
huggingface/text-generation-inference: Uncontrolled Resource Consumption
A vulnerability in huggingface/text-generation-inference version 3.3.6 allows unauthenticated remote attackers to exploit unbounded external image fetching during input validation in VLM mode. The issue arises when the router scans inputs for Markdown image li
- 7.5 High severity
huggingface/transformers: Uncontrolled Resource Consumption
The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer. The vulnerability arises from the _do_use_weight_decay method, which processes user-controlled regul
- 7.5 High severity
huggingface/transformers: Inefficient Regular Expression Complexity
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fix
- 10.0 Critical severity
huggingface/smolagents: Improper Control of Generation of Code
A sandbox escape vulnerability was identified in huggingface/smolagents version 1.14.0, allowing attackers to bypass the restricted execution environment and achieve remote code execution (RCE). The vulnerability stems from the local_python_executor.py module,
- 7.5 High severity
huggingface/transformers: Inefficient Regular Expression Complexity
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the huggingface/transformers repository, specifically in version 4.49.0. The vulnerability is due to inefficient regular expression complexity in the `SETTING_RE` variable within th
- 7.5 High severity
huggingface/transformers: Inefficient Regular Expression Complexity
A vulnerability in the `preprocess_string()` function of the `transformers.testing_utils` module in huggingface/transformers version v4.48.3 allows for a Regular Expression Denial of Service (ReDoS) attack. The regular expression used to process code blocks in
- 7.5 High severity
huggingface/transformers: Inefficient Regular Expression Complexity
A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file tokenization_nougat_fast.py. The vulnerability occurs in the post_process_single() function, where a regular expressio
- 8.8 High severity
Transformers: Deserialization of Untrusted Data
Hugging Face Transformers MobileViTV2 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 requir
- 9.6 Critical severity
huggingface/transformers: Deserialization of Untrusted Data
The huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data within the `load_repo_checkpoint()` function of the `TFPreTrainedModel()` class. Attackers can execute arbitrary code and commands by craft