57 matches found
CVE-2026-10298 ggml-org whisper.cpp ggml.c whisper_model_load null pointer dereference
A security flaw has been discovered in ggml-org whisper.cpp up to 1.8.2. This vulnerability affects the function whispermodelload of the file ggml/src/ggml.c. The manipulation results in null pointer dereference. Attacking locally is a requirement. The exploit has been released to the public and...
CVE-2026-10298 ggml-org whisper.cpp ggml.c whisper_model_load null pointer dereference
A security flaw has been discovered in ggml-org whisper.cpp up to 1.8.2. This vulnerability affects the function whispermodelload of the file ggml/src/ggml.c. The manipulation results in null pointer dereference. Attacking locally is a requirement. The exploit has been released to the public and...
CVE-2026-10298
CVE-2026-10298 affects ggml-org whisper.cpp up to 1.8.2. The issue is in whisper_model_load (ggml/src/ggml.c) and causes a null pointer dereference. Exploitation requires local access; a public exploit exists. The project was informed via an issue but has not responded.
CVE-2026-10298
A security flaw has been discovered in ggml-org whisper.cpp up to 1.8.2. This vulnerability affects the function whispermodelload of the file ggml/src/ggml.c. The manipulation results in null pointer dereference. Attacking locally is a requirement. The exploit has been released to the public and...
PT-2026-45661
Name of the Vulnerable Software and Affected Versions whisper.cpp versions prior to 1.8.3 Description A security flaw exists in the whisper model load function within the ggml/src/ggml.c file. This issue allows for a null pointer dereference, which occurs when a program attempts to read or write ...
whisper.cpp 代码问题漏洞
whisper.cpp is a C language library open sourced by ggml. Versions of whisper.cpp 1.8.2 and earlier contained code vulnerabilities. These vulnerabilities stemmed from incorrect operations in the function whispermodelload located in the file ggml/src/ggml.c, which could lead to null pointer...
GHSA-29PF-2H5F-8G72 HuggingFace transformers vulnerable to remote code execution
A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious config.json file containing the attnimplementationinternal field set to an attacker-controlled HuggingFac...
CVE-2026-4372 Arbitrary Remote Code Execution via `_attn_implementation_internal` Config Injection in huggingface/transformers
A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious config.json file containing the attnimplementationinternal field set to an attacker-controlled HuggingFac...
CVE-2026-4372
CVE-2026-4372 affects HuggingFace transformers prior to 5.3.0. A malicious config.json can set _attn_implementation_internal to an attacker-controlled HuggingFace Hub repo ID. When a victim loads a model with AutoModelForCausalLM.from_pretrained(), the library downloads and executes arbitrary Pyt...
[CWE-73] Keras — Arbitrary HDF5 File Read via Virtual Dataset Bypass of External Storage Check (CVE-2026-1669 Incomplete Fix)
Description The fix for CVE-2026-1669 in Keras's H5IOStore.verifydataset method savinglib.py:1051 is incomplete. The patch checks dataset.external to block HDF5 datasets that use external file storage, but it does not check dataset.isvirtual. HDF5 Virtual Datasets VDS — created via...
CVE-2026-28500
Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load due to improper logic in the repository trust verification mechanism. While the function is designed to warn users...
CVE-2026-22807 vLLM affected by RCE via auto_map dynamic module loading during model initialization
vLLM is an inference and serving engine for large language models LLMs. Starting in version 0.10.1 and prior to version 0.14.0, vLLM loads Hugging Face automap dynamic modules during model resolution without gating on trustremotecode, allowing attacker-controlled Python code in a model repo/path ...
CVE-2026-22807 vLLM affected by RCE via auto_map dynamic module loading during model initialization
vLLM is an inference and serving engine for large language models LLMs. Starting in version 0.10.1 and prior to version 0.14.0, vLLM loads Hugging Face automap dynamic modules during model resolution without gating on trustremotecode, allowing attacker-controlled Python code in a model repo/path ...
Vulnerability in Keras Model.load_model Leading to Arbitrary Local File Loading and SSRF
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CVE-2025-12058
The Keras.Model.loadmodel method, including when executed with the intended security mitigation safemode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery SSRF. This vulnerability stems from the way the StringLookup layer is handled during model loading from a...
GHSA-36RR-WW3J-VRJV The Keras `Model.load_model` method **silently** ignores `safe_mode=True` and allows arbitrary code execution when a `.h5`/`.hdf5` file is loaded.
Note: This report has already been discussed with the Google OSS VRP team, who recommended that I reach out directly to the Keras team. I’ve chosen to do so privately rather than opening a public issue, due to the potential security implications. I also attempted to use the email address listed i...
GHSA-77WQ-646F-JRM2 Duplicate Advisory: The Keras `Model.load_model` method **silently** ignores `safe_mode=True` and allows arbitrary code execution when a `.h5`/`.hdf5` file is loaded.
Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-36rr-ww3j-vrjv. This link is maintained to preserve external references. Original Description The Keras Model.loadmodel method can be exploited to achieve arbitrary code execution, even with safemode=True. One c...
PYSEC-2025-76
The Keras Model.loadmodel method can be exploited to achieve arbitrary code execution, even with safemode=True. One can create a specially crafted .keras model archive that, when loaded via Model.loadmodel, will trigger arbitrary code to be executed. This is achieved by crafting a special...
CVE-2025-9905
The Keras Model.loadmodel method can be exploited to achieve arbitrary code execution, even with safemode=True. One can create a specially crafted .h5/.hdf5 model archive that, when loaded via Model.loadmodel, will trigger arbitrary code to be executed. This is achieved by crafting a special...
DEBIAN-CVE-2025-9905
The Keras Model.loadmodel method can be exploited to achieve arbitrary code execution, even with safemode=True. One can create a specially crafted .h5/.hdf5 model archive that, when loaded via Model.loadmodel, will trigger arbitrary code to be executed. This is achieved by crafting a special...