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-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-2026-0596-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-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-2026-22807_Range

🛡️ CVE-2026-22807 Simulazione: Range di Target RCE per Supply Chain AI ⚠️ Disclaimer / Avvertenza Questo progetto è destinato esclusivamente a scopi di ricerca e didattica sulla sicurezza , per dimostrare il principio degli attacchi alla supply chain durante il caricamento di modelli AI Remote Code...

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....

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...

Linux Distros Unpatched Vulnerability : CVE-2026-12570

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - A vulnerability in keras-team/keras versions = 3.15.0 allows for a denial of service DoS attack when loading malicious .keras model files via the...

CVE-2026-68770

sentence-transformers contains a security control bypass vulnerability that allows attackers to achieve arbitrary code execution by exploiting a logic flaw in the importmoduleclass helper within sentencetransformers/util/misc.py, where the guard condition includes an 'or...

CVE-2026-65920

A flaw was found in Diffusers. This path traversal vulnerability in the getcheckpointshardfiles function allows a remote attacker to read arbitrary files. By supplying malicious weightmap values in model index JSON, an attacker can use ../ sequences or absolute paths to escape the model directory...

CVE-2026-65920 Diffusers Path Traversal via weight_map Arbitrary File Read

Diffusers through 0.39.0, fixed in commit cee298c, contains a path traversal vulnerability in the getcheckpointshardfiles function that allows attackers to read arbitrary files by supplying malicious weightmap values in model index JSON. Attackers can use ../ sequences or absolute paths in...

PYSEC-2026-3498 PocketSphinx: Buffer overflows in language and acoustic model loading code

Impact The trie language model code introduced in PocketSphinx 5prealpha failed to check various boundary conditions when reading the headers of ARPA, DMP, and binary format language model files. In the case of invalid, corrupted or malicious input files, this could lead to stack and heap buffer...

PT-2026-60899

Name of the Vulnerable Software and Affected Versions PocketSphinx versions 5prealpha through 5.1.0 Description The trie language model code fails to check boundary conditions when reading headers of ARPA, DMP, and binary format language model files, which can lead to stack and heap buffer...