Total
3617 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2025-13710 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Tencent HunyuanVideo load_vae Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanVideo. 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 load_vae function.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 root. Was ZDI-CAN-27186. | |||||
| CVE-2026-31239 | 2026-10-19 | N/A | 9.8 CRITICAL | ||
| 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.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by publishing a malicious model repository on HuggingFace Hub. When a victim loads a model from this repository, arbitrary code is executed on the victim's system in the context of the mamba process. | |||||
| CVE-2025-68665 | 1 Langchain | 2 Langchain.js, Langchain\/core | 2026-10-19 | N/A | 8.6 HIGH |
| LangChain is a framework for building LLM-powered applications. Prior to @langchain/core versions 0.3.80 and 1.1.8, and prior to langchain versions 0.3.37 and 1.2.3, a serialization injection vulnerability exists in LangChain JS's toJSON() method (and subsequently when string-ifying objects using JSON.stringify(). The method did not escape objects with 'lc' keys when serializing free-form data in kwargs. The 'lc' key is used internally by LangChain to mark serialized objects. When user-controlled data contains this key structure, it is treated as a legitimate LangChain object during deserialization rather than plain user data. This issue has been patched in @langchain/core versions 0.3.80 and 1.1.8, and langchain versions 0.3.37 and 1.2.3 | |||||
| CVE-2025-13707 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Tencent HunyuanDiT model_resume Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanDiT. 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 model_resume function. 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 root. Was ZDI-CAN-27183. | |||||
| CVE-2025-14920 | 1 Huggingface | 1 Transformers | 2026-10-19 | N/A | 7.8 HIGH |
| 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. | |||||
| CVE-2025-13714 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MedicalNet. 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 generate_model function. 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 root. Was ZDI-CAN-27192. | |||||
| CVE-2025-13706 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Tencent PatrickStar merge_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent PatrickStar. 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 merge_checkpoint endpoint. 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 root. Was ZDI-CAN-27182. | |||||
| CVE-2025-13713 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Tencent Hunyuan3D-1 load_pretrained Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent Hunyuan3D-1. 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 load_pretrained function. 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 root. Was ZDI-CAN-27191. | |||||
| CVE-2025-14924 | 1 Huggingface | 1 Transformers | 2026-10-19 | N/A | 7.8 HIGH |
| 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. | |||||
| CVE-2025-14925 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Hugging Face Accelerate Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Accelerate. 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-27985. | |||||
| CVE-2025-13709 | 1 Tencent | 1 Tface | 2026-10-19 | N/A | 7.8 HIGH |
| Tencent TFace restore_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent TFace. 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 restore_checkpoint function. 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 root. Was ZDI-CAN-27185. | |||||
| CVE-2025-13708 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent NeuralNLP-NeuralClassifier. 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 _load_checkpoint function. 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 root. Was ZDI-CAN-27184. | |||||
| CVE-2025-13715 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Tencent FaceDetection-DSFD resnet Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent FaceDetection-DSFD. 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 resnet endpoint. 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 root. Was ZDI-CAN-27197. | |||||
| CVE-2026-31222 | 1 Snorkel | 1 Snorkel | 2026-10-19 | N/A | 8.8 HIGH |
| The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the Trainer.load() method of the Trainer class. The method loads model checkpoint files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution on the victim's system when the file is loaded via the vulnerable method. | |||||
| CVE-2026-81344 | 2026-10-19 | N/A | 6.6 MEDIUM | ||
| The ACF Frontend Admin by DynamiApps WordPress plugin through 3.29.13 does not restrict which PHP classes may be instantiated when it deserialises stored post content that is rendered on public-facing pages, allowing high-privilege users such as administrators to inject a PHP object which, given a suitable POP chain in another installed ACF Frontend Admin by DynamiApps WordPress plugin through 3.29.13 or in WordPress core, can be leveraged to achieve remote code execution. | |||||
| CVE-2026-107436 | 2026-10-19 | N/A | 8.8 HIGH | ||
| Deserialization of Untrusted Data vulnerability in WP Chill Strong Testimonials strong-testimonials allows Object Injection.This issue affects Strong Testimonials: from n/a through 3.3.12. | |||||
| CVE-2026-112086 | 2026-10-19 | 7.5 HIGH | 6.3 MEDIUM | ||
| A vulnerability was found in ESPnet up to 202610.post2. This affects the function build_model of the file espnet3/publication/inference_model.py of the component Inference Model Handler. The manipulation of the argument _target_ results in deserialization. It is possible to launch the attack remotely. The exploit has been made public and could be used. The patch is identified as f217b24f06de55e332cab10231469d5890dbbe00. It is best practice to apply a patch to resolve this issue. | |||||
| CVE-2026-111408 | 2026-10-19 | N/A | 8.8 HIGH | ||
| Deserialization of Untrusted Data vulnerability in ExpressTech Quiz And Survey Master quiz-master-next allows Object Injection.This issue affects Quiz And Survey Master: from n/a through 11.2.7. | |||||
| CVE-2026-112079 | 2026-10-19 | 7.5 HIGH | 6.3 MEDIUM | ||
| A vulnerability has been found in hankcs HanLP up to 2.1.0-beta.64. The affected element is the function load_word2vec_as_vocab_tensor of the file hanlp/utils/torch_util.py. The manipulation of the argument vectors.vocab leads to deserialization. The attack is possible to be carried out remotely. The exploit has been disclosed to the public and may be used. The project was informed of the problem early through an issue report but has not responded yet. | |||||
| CVE-2025-58163 | 1 Freescout | 1 Freescout | 2026-10-19 | N/A | 8.8 HIGH |
| FreeScout is a free help desk and shared inbox built with PHP's Laravel framework. Versions 1.8.185 and earlier contain a deserialization of untrusted data vulnerability that allows authenticated attackers with knowledge of the application's APP_KEY to achieve remote code execution. The vulnerability is exploited via endpoint, e.g.: `/help/{mailbox_id}/auth/{customer_id}/{hash}/{timestamp}` where the `customer_id` and `timestamp` parameters are processed through the decrypt function in `app/Helper.php` without proper validation. The code decrypts using Laravel's built-in encryption functions, which subsequently deserialize the decrypted payload without sanitization, allowing attackers to craft malicious serialized PHP objects using classes to trigger arbitrary command execution. This is fixed in version 1.8.186. | |||||