188 matches found
Ollama Out-of-Bounds Read Vulnerability Allows Remote Process Memory Leak
Cybersecurity researchers have disclosed a critical security vulnerability in Ollama that, if successfully exploited, could allow a remote, unauthenticated attacker to leak its entire process memory. The out-of-bounds read flaw, which likely impacts over 300,000 servers globally, is tracked as...
Exploit for CVE-2026-7482
CVE-2026-7482: Ollama GGUF Heap OOB Read Reproduction This re...
Ollama GGUF Model Loader Heap Out-of-Bounds Read Vulnerability
Ollama is an open source large language model deployment and inference tool, mainly providing model loading, quantization and API interface services. The Ollama GGUF model loader suffers from a heap out-of-bounds read vulnerability that stems from the /api/create interface failing to properly...
Exploit for CVE-2026-7482
CVE-2026-7482: Ollama Heap Out-of-Bounds Read 1-Day PoC Thi...
SUSE CVE-2026-7482
Ollama before 0.17.1 contains a heap out-of-bounds read vulnerability in the GGUF model loader. The /api/create endpoint accepts an attacker-supplied GGUF file in which the declared tensor offset and size exceed the file's actual length; during quantization in fs/ggml/gguf.go and...
GHSA-X8QC-FGGM-MPQG Ollama contains a heap out-of-bounds read vulnerability in the GGUF model loader
Ollama before 0.17.1 contains a heap out-of-bounds read vulnerability in the GGUF model loader. The /api/create endpoint accepts an attacker-supplied GGUF file in which the declared tensor offset and size exceed the file's actual length; during quantization in fs/ggml/gguf.go and...
Out-of-bounds Read
Overview Affected versions of this package are vulnerable to Out-of-bounds Read in the GGUF model loader. An attacker can access sensitive server memory contents, including environment variables, API keys, system prompts, and concurrent users' conversation data, by submitting a specially crafted...
Out-of-bounds Read
Overview Affected versions of this package are vulnerable to Out-of-bounds Read in the GGUF model loader. An attacker can access sensitive server memory contents, including environment variables, API keys, system prompts, and concurrent users' conversation data, by submitting a specially crafted...
CVE-2026-7482
Ollama before 0.17.1 contains a heap out-of-bounds read vulnerability in the GGUF model loader. The /api/create endpoint accepts an attacker-supplied GGUF file in which the declared tensor offset and size exceed the file's actual length; during quantization in fs/ggml/gguf.go and...
CVE-2026-7482 Ollama heap out-of-bounds read in GGUF tensor parsing leaks server process memory to unauthenticated remote attackers
Ollama before 0.17.1 contains a heap out-of-bounds read vulnerability in the GGUF model loader. The /api/create endpoint accepts an attacker-supplied GGUF file in which the declared tensor offset and size exceed the file's actual length; during quantization in fs/ggml/gguf.go and...
CVE-2026-7482 Ollama heap out-of-bounds read in GGUF tensor parsing leaks server process memory to unauthenticated remote attackers
Ollama before 0.17.1 contains a heap out-of-bounds read vulnerability in the GGUF model loader. The /api/create endpoint accepts an attacker-supplied GGUF file in which the declared tensor offset and size exceed the file's actual length; during quantization in fs/ggml/gguf.go and...
CVE-2026-7482
Ollama CVE-2026-7482 is a heap out-of-bounds read in the GGUF model loader affecting the /api/create path, where an attacker-supplied GGUF file can declare tensor offsets/sizes that exceed the file, causing reads past the allocated heap in fs/ggml/gguf.go and server/quantization.go (WriteTo()). L...
CVE-2026-7482
Ollama before 0.17.1 contains a heap out-of-bounds read vulnerability in the GGUF model loader. The /api/create endpoint accepts an attacker-supplied GGUF file in which the declared tensor offset and size exceed the file's actual length; during quantization in fs/ggml/gguf.go and...
PT-2026-36799
Name of the Vulnerable Software and Affected Versions Ollama versions prior to 0.17.1 Description A heap out-of-bounds read issue exists in the GGUF model loader. An unauthenticated remote attacker can exploit this by uploading a specially crafted GGUF file via the '/api/create' endpoint and...
Ollama 缓冲区错误漏洞
Ollama is an open source large language model deployment and inference tool, mainly providing model loading, quantization and API interface services. The Ollama GGUF model loader suffers from a heap out-of-bounds read vulnerability that stems from the /api/create interface failing to properly...
Ollama GGUF Quantization Remote Memory Leak
Overview Ollama’s model quantization engine contains a vulnerability that allows an attacker with access to the model upload interface to read and potentially exfiltrate heap memory from the server. This issue may lead to unintended behavior, including unauthorized access to sensitive data and, i...
PT-2026-34454
Name of the Vulnerable Software and Affected Versions Ollama affected versions not specified Description An out-of-bounds heap read/write issue exists in the GGUF model quantization engine. An attacker can exploit this by uploading a specially crafted GPT-Generated Unified Format GGUF file to the...
SGLang CVE-2026-5760 (CVSS 9.8) Enables RCE via Malicious GGUF Model Files
A critical security vulnerability has been disclosed in SGLang that, if successfully exploited, could result in remote code execution on susceptible systems. The vulnerability, tracked as CVE-2026-5760 , carries a CVSS score of 9.8 out of 10.0. It has been described as a case of command injection...
Linux Distros Unpatched Vulnerability : CVE-2026-33298
The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - llama.cpp is an inference of several LLM models in C/C++. Prior to b7824, an integer overflow vulnerability in the ggmlnbytes function allows an attacker to...
CVE-2026-33298
A flaw was found in llama.cpp. A remote attacker could exploit an integer overflow vulnerability in the ggmlnbytes function by crafting a malicious GGUF GGML Universal Format file with specific tensor dimensions. This flaw causes the ggmlnbytes function to return an incorrect size, leading to a...