Critical security advisoryCriticalFlagged by our vulnerability database: PHP2Shell is on CISA’s exploited list. Most WordPress hosting runs PHP. See if your site is affectedFlagged by our vulnerability database: PHP2Shell is being exploited. DetailsExploited: PHP2Shell. Check your site
HuttenlocherTechnologies
Updated 8 h ago

Vulnerability database

Every flaw the U.S. government’s cybersecurity agency (CISA) has confirmed attackers are using, plus the new WordPress plugin and theme bugs published each day, sorted by what they mean for a small business. We refresh it twice a day. If you see something your website or office runs, tell us.

1,762exploited flaws on CISA’s list
34added in the last 30 days
343new WordPress flaws this week
390,080entries in the database

43 results

  • Oct 20, 2026vLLM from 0.7.3 before 0.31.0 forwards the request-supplied mm_processor_kwargs.code_revision to Transformers AutoProcessor.from_pretrained, letting clients selCVE-2026-114053 · Other software · vllm-project · reported by VulnCheckCritical 9.2

    vLLM from 0.7.3 before 0.31.0 forwards the request-supplied mm_processor_kwargs.code_revision to Transformers AutoProcessor.from_pretrained, letting clients select which revision of a model's dynamic processor code is imported when trust_remote_code is enabled. An attacker controlling a revision in the served model repository can send a multimodal request to the unauthenticated /tokenize endpoint to execute arbitrary Python in the vLLM API process.

    Product
    vllm
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Sep 1, 2026A vulnerability in Hugging Face Transformers (versions 4.57.0 to 5.16.1) allows remote Python files to be written to local disk without user consent when using CVE-2026-80047 · Other software · Hugging Face · reported by cret@cert.orgHigh 7.8

    A vulnerability in Hugging Face Transformers (versions 4.57.0 to 5.16.1) allows remote Python files to be written to local disk without user consent when using GenerativePreTrainedModel.load_custom_generate(). The function fetches and caches a remote module file before performing the required trust_remote_code consent check, inverting the security model enforced by other code-loading paths (such as AutoConfig, AutoModel, and AutoTokenizer). As a result, attacker‑controlled Python code from custom_generate/generate.py is copied into the user’s ~/.cache/huggingface/modules directory even if the user declines the trust prompt. Although execution is correctly gated, the file write is not reversible and can persist across sessions. This can lead to persistent, unauthorized files on disk and stale cache collisions where cached attacker code may later be executed during trusted model loads. The issue stems from an unconditional file write in dynamic_module_utils.py prior to any trust verification.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Aug 17, 2026Hugging Face Transformers fails to validate shard filenames in checkpoint index files, allowing attackers to read arbitrary files outside the model directory.CVE-2026-75104 · Other software · huggingface · reported by VulnCheckMedium 6.8

    Hugging Face Transformers fails to validate shard filenames in checkpoint index files, allowing attackers to read arbitrary files outside the model directory. Attackers can supply malicious index files with parent-directory references or absolute paths that are joined without validation, enabling file disclosure and filesystem reconnaissance.

    Product
    transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Aug 2, 2026A vulnerability in huggingface/transformers versions <=5.8.0.dev0 allows an attacker to perform arbitrary file writes via path traversal.CVE-2026-9856 · Other software · huggingface · reported by security@huntr.devHigh 7.1

    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 the `chat_template` dictionary are used directly as filenames without proper validation. An attacker can exploit this by publishing a malicious Hugging Face Hub repository with a crafted `tokenizer_config.json` file. When a victim downloads and saves the tokenizer or processor, the attacker-controlled keys can escape the intended save directory, enabling arbitrary file writes with attacker-controlled content. This vulnerability affects multiple processors inheriting from `ProcessorMixin`, including Idefics, Florence, Gemma, Phi, and Qwen-VL.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jul 31, 2026sentence-transformers contains a security control bypass vulnerability that allows attackers to achieve arbitrary code execution by exploiting a logic flaw in tCVE-2026-68770 · Other software · Hugging Face · reported by VulnCheckCritical 9.3

    sentence-transformers contains a security control bypass vulnerability that allows attackers to achieve arbitrary code execution by exploiting a logic flaw in the import_module_class helper within sentence_transformers/util/misc.py, where the guard condition includes an 'or os.path.exists(model_name_or_path)' clause that satisfies the trust gate whenever the supplied path exists on the local filesystem, regardless of the trust_remote_code=False argument. Attackers who can control or influence the contents of a model directory on disk can place malicious Python files such as modeling_*.py referenced via modules.json, causing the code to execute at import time when an application loads the model with SentenceTransformer(path, trust_remote_code=False), bypassing the documented security contract and achieving code execution within the loading process.

    Product
    sentence-transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jul 20, 2026ktransformers through 0.6.3, fixed in commit def0f93, contains an unauthenticated pickle deserialization vulnerability that allows remote attackers to execute aCVE-2026-63767 · Other software · kvcache-ai · reported by VulnCheckCritical 9.3

    ktransformers through 0.6.3, fixed in commit def0f93, contains an unauthenticated pickle deserialization vulnerability that allows remote attackers to execute arbitrary commands by sending crafted pickle payloads to the SchedulerServer ZMQ ROUTER socket bound to all interfaces. Attackers can exploit malicious __reduce__ methods embedded in crafted pickle payloads to execute arbitrary shell commands as the server process.

    Product
    ktransformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jun 3, 2026A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrarCVE-2026-5241 · Other software · huggingface · reported by security@huntr.devCritical 9.6

    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, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • May 26, 2026NVIDIA Transformers4Rec for Linux contains a vulnerability where an attacker could cause improper deserialization of untrusted data.CVE-2026-24162 · Other software · NVIDIA · reported by psirt@nvidia.comHigh 7.8

    NVIDIA Transformers4Rec for Linux contains a vulnerability where an attacker could cause improper deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure.

    Product
    Merlin Transformers4Rec
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • May 24, 2026A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0.CVE-2026-4372 · Other software · huggingface · reported by security@huntr.devHigh 7.8

    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` field set to an attacker-controlled HuggingFace Hub repository ID. When a victim loads this model using the standard `AutoModelForCausalLM.from_pretrained()` API, the library downloads and executes arbitrary Python code from the attacker's repository with the victim's full OS privileges. This issue arises due to unfiltered deserialization of configuration attributes, insufficient sanitization of internal fields, and unsandboxed execution of downloaded kernels. The vulnerability bypasses the `trust_remote_code` security mechanism, is invisible to the victim, and exploits the standard documented usage pattern, making it particularly severe. Users are advised to upgrade to version 5.3.0 or later to mitigate this issue.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Apr 23, 2026KTransformers through 0.5.3 contains an unsafe deserialization vulnerability in the balance_serve backend mode where the scheduler RPC server binds a ZMQ ROUTERCVE-2026-26210 · Other software · kvcache-ai · reported by VulnCheckCritical 9.3

    KTransformers through 0.5.3 contains an unsafe deserialization vulnerability in the balance_serve backend mode where the scheduler RPC server binds a ZMQ ROUTER socket to all interfaces with no authentication and deserializes incoming messages using pickle.loads() without validation. Attackers can send a crafted pickle payload to the exposed ZMQ socket to execute arbitrary code on the server with the privileges of the ktransformers process.

    Product
    ktransformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Apr 7, 2026A vulnerability in the HuggingFace Transformers library, specifically in the `Trainer` class, allows for arbitrary code execution.CVE-2026-1839 · Other software · huggingface · reported by security@huntr.devHigh 7.8

    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` parameter. This issue affects all versions of the library supporting `torch>=2.2` when used with PyTorch versions below 2.6, as the `safe_globals()` context manager provides no protection in these versions. An attacker can exploit this vulnerability by supplying a malicious checkpoint file, such as `rng_state.pth`, which can execute arbitrary code when loaded. The issue is resolved in version v5.0.0rc3.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jan 20, 2026NVIDIA Merlin Transformers4Rec for all platforms contains a vulnerability where an attacker could cause code injection.CVE-2025-33233 · Other software · NVIDIA · reported by psirt@nvidia.comHigh 7.8

    NVIDIA Merlin Transformers4Rec for all platforms contains a vulnerability where an attacker could cause code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

    Product
    Merlin Transformers4Rec
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 23, 2025Hugging Face Transformers GLM4 Deserialization of Untrusted Data Remote Code Execution Vulnerability.CVE-2025-14930 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 7.8

    Hugging Face Transformers GLM4 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 weights. 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-28309.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 23, 2025Hugging Face Transformers X-CLIP Checkpoint Conversion Deserialization of Untrusted Data Remote Code Execution Vulnerability.CVE-2025-14929 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 7.8

    Hugging Face Transformers X-CLIP Checkpoint Conversion 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-28308.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 23, 2025Hugging Face Transformers HuBERT convert_config Code Injection Remote Code Execution Vulnerability.CVE-2025-14928 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 7.8

    Hugging Face Transformers HuBERT convert_config Code Injection 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 convert a malicious checkpoint. The specific flaw exists within the convert_config function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-28253.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 23, 2025Hugging Face Transformers SEW-D convert_config Code Injection Remote Code Execution Vulnerability.CVE-2025-14927 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 7.8

    Hugging Face Transformers SEW-D convert_config Code Injection 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 convert a malicious checkpoint. The specific flaw exists within the convert_config function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user. . Was ZDI-CAN-28252.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 23, 2025Hugging Face Transformers SEW convert_config Code Injection Remote Code Execution Vulnerability.CVE-2025-14926 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 7.8

    Hugging Face Transformers SEW convert_config Code Injection 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 convert a malicious checkpoint. The specific flaw exists within the convert_config function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-28251.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 23, 2025Hugging Face Transformers megatron_gpt2 Deserialization of Untrusted Data Remote Code Execution Vulnerability.CVE-2025-14924 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 7.8

    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.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 23, 2025Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability.CVE-2025-14921 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 7.8

    Hugging Face Transformers Transformer-XL Model 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 model files. 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 user. Was ZDI-CAN-25424.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 23, 2025Hugging Face Transformers Perceiver Model Deserialization of Untrusted Data Remote Code Execution Vulnerability.CVE-2025-14920 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 7.8

    Hugging Face Transformers Perceiver Model 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 model files. 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 user. Was ZDI-CAN-25423.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 9, 2025NVIDIA Merlin Transformers4Rec for Linux contains a vulnerability in the Trainer component, where a user could cause a deserialization issue.CVE-2025-33213 · Other software · NVIDIA · reported by psirt@nvidia.comHigh 8.8

    NVIDIA Merlin Transformers4Rec for Linux contains a vulnerability in the Trainer component, where a user could cause a deserialization issue. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering.

    Product
    Merlin Transformers4Rec
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Sep 23, 2025The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer.CVE-2025-6921 · Other software · huggingface · reported by security@huntr.devHigh 7.5

    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 regular expressions in the include_in_weight_decay and exclude_from_weight_decay lists. Malicious regular expressions can cause catastrophic backtracking during the re.search call, leading to 100% CPU utilization and a denial of service. This issue can be exploited by attackers who can control the patterns in these lists, potentially causing the machine learning task to hang and rendering services unresponsive.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Sep 14, 2025A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the `normalize_numbersCVE-2025-6051 · Other software · huggingface · reported by security@huntr.devMedium 5.3

    A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the `normalize_numbers()` method of the `EnglishNormalizer` class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0. The issue arises from the method's handling of numeric strings, which can be exploited using crafted input strings containing long sequences of digits, leading to excessive CPU consumption. This vulnerability impacts text-to-speech and number normalization tasks, potentially causing service disruption, resource exhaustion, and API vulnerabilities.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Sep 12, 2025A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizerCVE-2025-6638 · Other software · huggingface · reported by security@huntr.devHigh 7.5

    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 fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Aug 13, 2025NVIDIA Merlin Transformers4Rec for all platforms contains a vulnerability in a python dependency, where an attacker could cause a code injection issue.CVE-2025-23298 · Other software · NVIDIA · reported by psirt@nvidia.comHigh 7.8

    NVIDIA Merlin Transformers4Rec for all platforms contains a vulnerability in a python dependency, where an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

    Product
    NVIDIA Merlin Transformers4Rec
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Aug 6, 2025A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_CVE-2025-5197 · Other software · huggingface · reported by security@huntr.devMedium 5.3

    A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_weight_name()` function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern `/[^/]*___([^/]*)/` that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jul 11, 2025A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor claCVE-2025-3933 · Other software · huggingface · reported by security@huntr.devMedium 5.3

    A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor class's `token2json()` method. This vulnerability affects versions 4.50.3 and earlier, and is fixed in version 4.52.1. The issue arises from the regex pattern `<s_(.*?)>` which can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. This vulnerability can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting document processing tasks using the Donut model.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jul 7, 2025Hugging Face Transformers versions up to 4.49.0 are affected by an improper input validation vulnerability in the `image_utils.py` file.CVE-2025-3777 · Other software · huggingface · reported by security@huntr.devLow 3.5

    Hugging Face Transformers versions up to 4.49.0 are affected by an improper input validation vulnerability in the `image_utils.py` file. The vulnerability arises from insecure URL validation using the `startswith()` method, which can be bypassed through URL username injection. This allows attackers to craft URLs that appear to be from YouTube but resolve to malicious domains, potentially leading to phishing attacks, malware distribution, or data exfiltration. The issue is fixed in version 4.52.1.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jul 7, 2025A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically in the `get_imports()` functiCVE-2025-3264 · Other software · huggingface · reported by security@huntr.devMedium 5.3

    A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically in the `get_imports()` function within `dynamic_module_utils.py`. This vulnerability affects versions 4.49.0 and is fixed in version 4.51.0. The issue arises from a regular expression pattern `\s*try\s*:.*?except.*?:` used to filter out try/except blocks from Python code, which can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. This vulnerability can lead to remote code loading disruption, resource exhaustion in model serving, supply chain attack vectors, and development pipeline disruption.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jul 7, 2025A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically in the `get_configuration_filCVE-2025-3263 · Other software · huggingface · reported by security@huntr.devMedium 5.3

    A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically in the `get_configuration_file()` function within the `transformers.configuration_utils` module. The affected version is 4.49.0, and the issue is resolved in version 4.51.0. The vulnerability arises from the use of a regular expression pattern `config\.(.*)\.json` that can be exploited to cause excessive CPU consumption through crafted input strings, leading to catastrophic backtracking. This can result in model serving disruption, resource exhaustion, and increased latency in applications using the library.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jul 7, 2025A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the huggingface/transformers repository, specifically in version 4.49.0.CVE-2025-3262 · Other software · huggingface · reported by security@huntr.devHigh 7.5

    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 the `transformers/commands/chat.py` file. The regex contains repetition groups and non-optimized quantifiers, leading to exponential backtracking when processing 'almost matching' payloads. This can degrade application performance and potentially result in a denial-of-service (DoS) when handling specially crafted input strings. The issue is fixed in version 4.51.0.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • May 19, 2025A vulnerability in the `preprocess_string()` function of the `transformers.testing_utils` module in huggingface/transformers version v4.48.3 allows for a RegulaCVE-2025-2099 · Other software · huggingface · reported by security@huntr.devHigh 7.5

    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 docstrings contains nested quantifiers, leading to exponential backtracking when processing input with a large number of newline characters. An attacker can exploit this by providing a specially crafted payload, causing high CPU usage and potential application downtime, effectively resulting in a Denial of Service (DoS) scenario.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Apr 29, 2025A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file `tokenization_gpt_CVE-2025-1194 · Other software · huggingface · reported by security@huntr.devMedium 6.5

    A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file `tokenization_gpt_neox_japanese.py` of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions process specially crafted inputs. The issue stems from a regex exhibiting exponential complexity under certain conditions, leading to excessive backtracking. This can result in high CPU usage and potential application downtime, effectively creating a Denial of Service (DoS) scenario. The affected version is v4.48.1 (latest).

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Mar 20, 2025A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file tokenization_nougaCVE-2024-12720 · Other software · huggingface · reported by security@huntr.devHigh 7.5

    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 expression processes specially crafted input. The issue stems from the regex exhibiting exponential time complexity under certain conditions, leading to excessive backtracking. This can result in significantly high CPU usage and potential application downtime, effectively creating a Denial of Service (DoS) scenario. The affected version is v4.46.3 (latest).

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Nov 22, 2024Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability.CVE-2024-11394 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 8.8

    Hugging Face Transformers Trax Model 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 handling of model files. 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 user. Was ZDI-CAN-25012.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Nov 22, 2024Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability.CVE-2024-11393 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 8.8

    Hugging Face Transformers MaskFormer Model 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 model files. 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 user. Was ZDI-CAN-25191.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Nov 22, 2024Hugging Face Transformers MobileViTV2 Deserialization of Untrusted Data Remote Code Execution Vulnerability.CVE-2024-11392 · Other software · Hugging Face · reported by zdi-disclosures@trendmicro.comHigh 8.8

    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 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 handling of configuration files. 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 user. Was ZDI-CAN-24322.

    Product
    Transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Nov 13, 2024Path traversal for some Intel(R) Extension for Transformers software before version 1.5 may allow an authenticated user to potentially enable escalation of privCVE-2024-21799 · Other software · reported by secure@intel.comMedium 6.9

    Path traversal for some Intel(R) Extension for Transformers software before version 1.5 may allow an authenticated user to potentially enable escalation of privilege via local access.

    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Apr 10, 2024The huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data within the `load_repo_checkpoint()` funCVE-2024-3568 · Other software · huggingface · reported by security@huntr.devCritical 9.6

    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 crafting a malicious serialized payload, exploiting the use of `pickle.load()` on data from potentially untrusted sources. This vulnerability allows for remote code execution (RCE) by deceiving victims into loading a seemingly harmless checkpoint during a normal training process, thereby enabling attackers to execute arbitrary code on the targeted machine.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 20, 2023Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36.CVE-2023-7018 · Other software · huggingface · reported by security@huntr.devHigh 7.8

    Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Dec 19, 2023Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36.CVE-2023-6730 · Other software · huggingface · reported by security@huntr.devHigh 8.8

    Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • May 18, 2023Insecure Temporary File in GitHub repository huggingface/transformers prior to 4.30.0.CVE-2023-2800 · Other software · huggingface · reported by security@huntr.devMedium 4.7

    Insecure Temporary File in GitHub repository huggingface/transformers prior to 4.30.0.

    Product
    huggingface/transformers
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Mar 18, 2021Increments Qiita::Markdown before 0.33.0 allows XSS in transformers.CVE-2021-28796 · Other software · Increments · reported by MITREMedium 6.1

    Increments Qiita::Markdown before 0.33.0 allows XSS in transformers.

    Product
    Qiita\
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.

Where this comes from: the exploited list is CISA’s Known Exploited Vulnerabilities catalog. Everything else is the whole National Vulnerability Database, where each record is published by the team that found the bug (Wordfence, Patchstack, WPScan, the vendors themselves and others); we show who. Exploit odds are FIRST’s EPSS, updated daily. Titles and categories are ours, so check the linked record before acting on a detail. For a write-up of the big ones, see our advisories. Every vendor, and every WordPress plugin and theme with a recorded flaw, also has its own page. All of it is free to reuse as JSON, CSV or RSS.

Weekly security brief

The flaws that hit local websites, every Friday.

One short email: what got exploited this week, which WordPress plugins broke, and what to check. Unsubscribe in one click.

Get in touch

Tell us what you're building.

A website, your marketing, a security check, an app, or the thing you've been running out of a spreadsheet for three years. A few lines is plenty.

01The person who'll do the work writes back
02A short call, then a written plan with the price
03Nothing starts until you say yes
04Hacked or down right now? Call, and we pick up the same day
843-331-6339

Not ready to talk yet? Run the free website check and see what Google sees.

What do you need?
Build
Grow
Protect
Urgent

No newsletter, no sales sequence. Just a reply.