CVE-2025-27780 Applio allows unsafe deserialization in model_information.py

Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in modelinformation.py. modelname in modelinformation.py takes user-supplied input e.g. a path to a model and pass that value to the runmodelinformationscript and later to modelinformation...

CVE-2025-27780 Applio allows unsafe deserialization in model_information.py

Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in modelinformation.py. modelname in modelinformation.py takes user-supplied input e.g. a path to a model and pass that value to the runmodelinformationscript and later to modelinformation...

CVE-2025-27780

Summary: CVE-2025-27780 affects Applio (versions ≤ 3.2.8-bugfix). It stems from unsafe deserialization in model_information.py where model_name accepts user-supplied input and is passed to torch.load, enabling remote code execution. Impact: remote code execution potential. Status/Remediation: a p...

CVE-2025-27780 Applio allows unsafe deserialization in model_information.py

Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in modelinformation.py. modelname in modelinformation.py takes user-supplied input e.g. a path to a model and pass that value to the runmodelinformationscript and later to modelinformation...

CVE-2024-7631

A flaw was found in the OpenShift Console, an endpoint for plugins to serve resources in multiple languages: /locales/resources.json. This endpoint's lng and ns parameters are used to construct a filepath in pkg/plugins/handlers unsafely.goL112 Because of this unsafe filepath construction, an...

CVE-2024-7631

OpenShift Console CVE-2024-7631 describes a path traversal flaw in the locales/resources.json endpoint where lng/ns are used to build a file path in pkg/plugins/handlers unsafely.go, allowing an authenticated user to read arbitrary JSON files on the console pod by using ../ sequences. Connected d...

Apache Tomcat CVE-2025-24813: What You Need to Know

Here at Rapid7, our usual bar for calling a vulnerability an emergent threat is either known exploitation at scale, or likelihood of exploitation at scale. Apache Tomcat CVE-2025-24813 fulfills neither of these criteria, despite a variety of news headlines alleging broad exploitation in the wild...

Apache Tomcat CVE-2025-24813: What You Need to Know

Here at Rapid7, our usual bar for calling a vulnerability an emergent threat is either known exploitation at scale, or likelihood of exploitation at scale. Apache Tomcat CVE-2025-24813 fulfills neither of these criteria, despite a variety of news headlines alleging broad exploitation in the wild...

PYSEC-2025-63

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code...

CVE-2025-29783

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code...

GHSA-X3M8-F7G5-QHM7 vLLM Allows Remote Code Execution via Mooncake Integration

Summary When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP will allow attackers to execute remote code on distributed hosts. Details 1. Pickle deserialization vulnerabilities are well documented. 2. The mooncake pipe is exposed over the network by design...

vLLM Allows Remote Code Execution via Mooncake Integration

Summary When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP will allow attackers to execute remote code on distributed hosts. Details 1. Pickle deserialization vulnerabilities are well documented. 2. The mooncake pipe is exposed over the network by design...

CVE-2025-29783

CVE-2025-29783 affects vLLM when Mooncake is configured for KV distribution across distributed hosts. The root cause is unsafe deserialization via pickle in the mooncake_pipe path exposed over ZMQ/TCP on all network interfaces, allowing remote code execution on affected distributed hosts. Public ...

CVE-2025-29783 vLLM Allows Remote Code Execution via Mooncake Integration

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code...

CVE-2025-29783 vLLM Allows Remote Code Execution via Mooncake Integration

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code...

CVE-2025-29783 vLLM Allows Remote Code Execution via Mooncake Integration

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code...

PT-2025-11965 · Applio +1 · Applio +1

Name of the Vulnerable Software and Affected Versions: Applio versions 3.2.8-bugfix and prior Description: Applio is a voice conversion tool. The issue concerns unsafe deserialization in the tool, specifically in the inference.py file. The model file variable in both inference.py and tts.py takes...

PT-2025-11980 · Applio · Applio

Name of the Vulnerable Software and Affected Versions: Applio versions 3.2.8-bugfix and prior Description: Applio is a voice conversion tool vulnerable to unsafe deserialization in infer.py. This issue can lead to remote code execution. A fix was available on the main branch of the Applio...

PT-2025-11981 · Applio · Applio

Name of the Vulnerable Software and Affected Versions: Applio versions 3.2.8-bugfix and prior Description: Applio is a voice conversion tool vulnerable to unsafe deserialization in model blender.py lines 20 and 21. The functions model fusion a and model fusion b from voice blender.py accept...

PT-2025-11983 · Applio · Applio

Name of the Vulnerable Software and Affected Versions: Applio versions 3.2.8-bugfix and prior Description: The issue affects a voice conversion tool, allowing for arbitrary file write in the train.py file. This can lead to writing arbitrary files on the server and potentially achieve remote code...