CVE-2024-3660-PoC

CVE-2024-3660 – TensorFlow Keras Arbitrary Code Execution via Malicious Model Overview CVE-2024-3660 is an arbitrary code execution vulnerability in TensorFlow's Keras framework affecting versions 2.13. It allows an attacker to embed Python code inside a model e.g., via a Lambda layer which...

CVE-2026-47117-openmed-rce

CVE-2026-47117: OpenMed Unauthenticated Remote Code Execution via PII Model Loading Severity: Critical, CVSS 4.0 9.3 , CVSS 3.1 9.8 assigned by VulnCheck, the 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: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H...

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-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

🛡️ CVE-2026-22807 Simulation: AI Supply Chain RCE Target Range ⚠️ Disclaimer This project is intended solely for security research and educational purposes , aiming to demonstrate the supply chain attack principle Remote Code Execution during AI model loading. Do not use the generated malicious...

CVE-2026-0596-Reproduction

Below is a structured, markdown-formatted vulnerability research report tailored for a GitHub repository layout such as a README.md or a security-labs write-up. It outlines the context, architecture, reproduction steps, and remediation strategies based on your lab findings. CVE-2026-0596: Arbitra...

CVE-2025-32434

CVE-2025-32434: PyTorch RCE Vulnerability - PoC What is CVE-2025-32434? CVE-2025-32434 is a critical Remote Code Execution RCE vulnerability in PyTorch, a widely used Python library for deep learning and neural networks. The Core Problem The vulnerability exists in the torch.load function, even...

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...