CVE-2026-76393

In Splunk AI Toolkit versions below 6.0.0, a user who can upload models could overwrite a model being uploaded by another user by sending a concurrent upload request for the same model name, causing the resulting model lookup entry to reference attacker-controlled content. The race condition is...

CVE-2026-76393

CVE-2026-76393 is a race condition in Splunk AI Toolkit versions below 6.0.0 , occurring during model upload through the REST API . The root cause is that the toolkit does not verify that the uploaded content belongs to the request that creates the model lookup entry. An authenticated user who ca...

CVE-2026-76393 Race Condition during Model Upload through the REST API in Splunk AI Toolkit

In Splunk AI Toolkit versions below 6.0.0, a user who can upload models could overwrite a model being uploaded by another user by sending a concurrent upload request for the same model name, causing the resulting model lookup entry to reference attacker-controlled content. The race condition is...

PT-2026-78820

Name of the Vulnerable Software and Affected Versions Splunk AI Toolkit versions prior to 6.0.0 Description A race condition exists when users upload models. An attacker with upload permissions can overwrite a model being uploaded by another user by sending a concurrent upload request using the...

CVE-2026-72642

The CVE notes a flaw in Elasticsearch’s native ML inference where a model operation computes a memory address from an offset without bounds checking, enabling heap corruption that can crash the inference process and potentially allow arbitrary code execution within that process. Affected configur...

EUVD-2026-58287

The native inference process that Elasticsearch uses to evaluate uploaded machine learning models accepts a model operation that computes a memory address from an offset supplied inside the model, without validating that the offset stays within the bounds of the underlying storage. A user with th...

CVE-2026-72642 Use of Out-of-range Pointer Offset in the Elasticsearch Machine Learning Native Inference Process

The native inference process that Elasticsearch uses to evaluate uploaded machine learning models accepts a model operation that computes a memory address from an offset supplied inside the model, without validating that the offset stays within the bounds of the underlying storage. A user with th...

PT-2026-34454

Name of the Vulnerable Software and Affected Versions Ollama affected versions not specified Description An out-of-bounds memory read and write issue exists in the GGUF GPT-Generated Unified Format quantization engine. This occurs because the engine lacks proper bounds checking and trusts tensor...

CVE-2024-12055 DoS using malicious gguf model file in ollama/ollama

A vulnerability in Ollama versions =0.3.14 allows a malicious user to create a customized gguf model file that can be uploaded to the public Ollama server. When the server processes this malicious model, it crashes, leading to a Denial of Service DoS attack. The root cause of the issue is an...

CVE-2024-12055

CVE-2024-12055 affects Ollama

CVE-2024-45853

CVE-2024-45853 affects MindsDB platform (23.10.2.0 and newer) via deserialization of untrusted data when using an uploaded ‘inhouse’ model for prediction, enabling arbitrary code execution on the server. The connected sources confirm the vulnerability, its impact on server integrity and availabil...