CVE-2026-90553

A flaw was found in vLLM. The LlavaOnevision2 processor loader incorrectly ignores the trustremotecode parameter, which is designed to prevent the execution of untrusted code. This oversight allows an attacker to craft a malicious model containing arbitrary code. When such a model is loaded, the...

CVE-2026-90553

vLLM before 0.28.0 contains a remote code execution vulnerability in the LlavaOnevision2 processor loader . The loader ignores the trust_remote_code parameter when loading remote processor classes, allowing an attacker to craft a malicious model with arbitrary code in processing_llava_onevision2....

CVE-2024-3660-PoC

CVE-2024-3660 – 通过恶意模型在TensorFlow Keras中执行任意代码 概述 CVE-2024-3660 是 TensorFlow 的 Keras 框架中的一个任意代码执行漏洞，影响版本 \ --build-arg LPORT= \ -t tfimg . && \ containerid=$docker create tfimg && \ docker cp $containerid:/CVE20243660/CVE20243660.h5 ./CVE20243660.h5 && \ docker rm $containerid 2. 加载恶意模型（受害者端）...

CVE-2026-88054

A flaw was found in Tesseract, an open-source Optical Character Recognition OCR engine. A remote attacker could provide a specially crafted '.traineddata' model with a zero-length stack for certain internal layers. This would cause an empty-stack dereference during model loading, leading to a...

CVE-2026-88054

Tesseract is an open-source OCR engine affected in version 5.5.3 and earlier by a denial-of-service flaw. The root cause is in Plumbing::DeSerialize (src/lstm/plumbing.cpp), which rejects excessively large network stacks but accepts a zero-length stack for NT_SERIES, NT_PARALLEL, or NT_REVERSED l...

CVE-2026-22807_Range

🛡️ Simulación CVE-2026-22807: Campo de Entrenamiento RCE en la Cadena de Suministro de IA ⚠️ Aviso legal / Disclaimer Este proyecto es exclusivamente para fines de investigación y educación en seguridad , y tiene como objetivo demostrar el principio de ataque a la cadena de suministro Remote Code...

CVE-2026-0596-Reproduction

CVE-2026-0596: Ejecución de Código Arbitrario mediante Deserialización Insegura en el Ecosistema MLflow Un informe de investigación de seguridad exhaustivo que detalla la verificación, los mecanismos subyacentes y las vulnerabilidades arquitectónicas asociadas con los pipelines de carga de modelo...

CVE-2025-32434

CVE-2025-32434：PyTorch远程代码执行漏洞 - PoC 什么是CVE-2025-32434？ CVE-2025-32434 是PyTorch中的一个严重远程代码执行（RCE）漏洞，PyTorch是深度学习和神经网络中广泛使用的Python库。 核心问题 该漏洞存在于torch.load函数中，即使使用了看似安全的weightsonly=True参数。weightsonly=True选项旨在通过仅允许加载模型参数来防止代码执行。然而，研究人员找到了一种绕过此保护的方法。 受影响版本 状态| 版本 ---|--- 有漏洞| PyTorch 2.5.1及更早版本 已修复|...

CVE-2026-47117-openmed-rce

CVE-2026-47117: OpenMed Ejecución Remota de Código No Autenticada mediante la Carga de Modelos PII Severidad: Crítica, CVSS 4.0 9.3 , CVSS 3.1 9.8 asignado por VulnCheck, la CNA Vector v4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N Vector v3.1:...

CVE-2026-86169

Axolotl before 0.19.0 contains a remote code execution vulnerability in the multipack patch path where trustremotecode defaults to None instead of False, causing the security guard to be bypassed. Attackers can execute arbitrary Python code by crafting a malicious Hugging Face model repository...

CVE-2026-79657

NLTK versions before 3.10.3 contain a remote code execution vulnerability in allowlisted pickle loaders that trust entire module namespaces instead of specific safe callables. Attackers can craft malicious pickle payloads invoking dangerous in-namespace functions like ReppTokenizer.execute and...

CVE-2026-79657 NLTK before 3.10.3 Remote Code Execution via Unsafe Pickle Deserialization

NLTK versions before 3.10.3 contain a remote code execution vulnerability in allowlisted pickle loaders that trust entire module namespaces instead of specific safe callables. Attackers can craft malicious pickle payloads invoking dangerous in-namespace functions like ReppTokenizer.execute and...

CVE-2026-76843

The official Flair wheels for 0.15.0 and 0.15.1 still contain flair/models/clustering.py, whose ClusteringModel.load static method returns pickle.loadsjoblib.loadstrmodelfile and so executes arbitrary Python while loading a model file. Loading a model supplied by an attacker therefore runs that...

CVE-2026-76843

CVE-2026-76843 affects the official Flair wheels for versions 0.15.0 and 0.15.1 . The file flair/models/clustering.py remains present in the distributed package despite being removed from the documented API. Its ClusteringModel.load static method deserializes via pickle.loads(joblib.load(str(mode...

EUVD-2026-64847

Xinference loads models with Hugging Face remote code execution unconditionally enabled, and before version 2.12.0 exposes no setting to disable it. Six loader call sites pass trustremotecode=True as a literal or as an unconditional default: RerankModel.gettokenizer in...

CVE-2026-76841

Xinference (by XorbitsAI) through version 2.11.0 unconditionally sets trust_remote_code=True at six model loader call sites spanning the rerank, embedding, and LLM modules. An attacker with model launch access can register a model with an unknown type and an arbitrary path, causing AutoTokenizer....

PT-2026-80851

Xinference loads models with Hugging Face remote code execution unconditionally enabled, and before version 2.12.0 exposes no setting to disable it. Six loader call sites pass trust remote code=True as a literal or as an unconditional default: RerankModel. get tokenizer in...

CVE-2026-76395 Remote Code Execution (RCE) through Deserialization of Untrusted Data in the Model Loading REST API in Splunk AI Toolkit

In Splunk AI Toolkit versions below 6.0.0, a user who holds the "power" Splunk role could execute arbitrary code on the Splunk server by loading a model file containing crafted sparse matrix data. The deserialization of untrusted data is possible because a model codec in Splunk AI Toolkit...

CVE-2026-76395

Splunk AI Toolkit versions below 6.0.0 deserialize sparse matrix data containing embedded pickle payloads without validation, allowing a user with the "power" role to execute arbitrary code via the model-loading REST API. The fix is to upgrade to version 6.0.0 or later. No in-the-wild exploitatio...

CVE-2026-73067

A flaw was found in Tesseract, an open-source Optical Character Recognition OCR engine. A remote attacker could exploit this vulnerability by providing a specially crafted .traineddata model. When this malicious model is loaded, it can cause the software to read beyond its allocated memory, leadi...