Total
2036 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-43852 | 1 Rvc-project | 1 Retrieval-based-voice-conversion-webui | 2025-08-01 | 9.8 Critical |
| Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The model_choose variable takes user input (e.g. a path to a model) and passes it to the uvr function in vr.py. In uvr , if model_name contains the string "DeEcho", a new instance of AudioPreDeEcho class is created with the model_path attribute containing the aforementioned user input. In the AudioPreDeEcho class, the user input is used to load the model on that path with torch.load, which can lead to unsafe deserialization and remote code execution. As of time of publication, no known patches exist. | ||||
| CVE-2025-27780 | 1 Applio | 1 Applio | 2025-08-01 | 9.8 Critical |
| Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in model_information.py. `model_name` in model_information.py takes user-supplied input (e.g. a path to a model) and pass that value to the `run_model_information_script` and later to `model_information` function, which loads that model with `torch.load` in rvc/train/process/model_information.py (on line 16 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available in the `main` branch of the repository. | ||||
| CVE-2025-27781 | 1 Applio | 1 Applio | 2025-08-01 | 9.8 Critical |
| Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in inference.py. `model_file` in inference.py as well as `model_file` in tts.py take user-supplied input (e.g. a path to a model) and pass that value to the `change_choices` and later to `get_speakers_id` function, which loads that model with `torch.load` in inference.py (line 326 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available on the `main` branch of the repository. | ||||
| CVE-2025-27778 | 1 Applio | 1 Applio | 2025-08-01 | 9.8 Critical |
| Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in `infer.py`. The issue can lead to remote code execution. As of time of publication, a fix is available on the `main` branch of the Applio repository but not attached to a numbered release. | ||||
| CVE-2025-27779 | 1 Applio | 1 Applio | 2025-08-01 | 9.8 Critical |
| Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in `model_blender.py` lines 20 and 21. `model_fusion_a` and `model_fusion_b` from voice_blender.py take user-supplied input (e.g. a path to a model) and pass that value to the `run_model_blender_script` and later to `model_blender` function, which loads these two models with `torch.load` in `model_blender.py (on lines 20-21 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available on the `main` branch of the Applio repository. | ||||
| CVE-2025-30165 | 1 Vllm | 1 Vllm | 2025-07-31 | 8 High |
| vLLM is an inference and serving engine for large language models. In a multi-node vLLM deployment using the V0 engine, vLLM uses ZeroMQ for some multi-node communication purposes. The secondary vLLM hosts open a `SUB` ZeroMQ socket and connect to an `XPUB` socket on the primary vLLM host. When data is received on this `SUB` socket, it is deserialized with `pickle`. This is unsafe, as it can be abused to execute code on a remote machine. Since the vulnerability exists in a client that connects to the primary vLLM host, this vulnerability serves as an escalation point. If the primary vLLM host is compromised, this vulnerability could be used to compromise the rest of the hosts in the vLLM deployment. Attackers could also use other means to exploit the vulnerability without requiring access to the primary vLLM host. One example would be the use of ARP cache poisoning to redirect traffic to a malicious endpoint used to deliver a payload with arbitrary code to execute on the target machine. Note that this issue only affects the V0 engine, which has been off by default since v0.8.0. Further, the issue only applies to a deployment using tensor parallelism across multiple hosts, which we do not expect to be a common deployment pattern. Since V0 is has been off by default since v0.8.0 and the fix is fairly invasive, the maintainers of vLLM have decided not to fix this issue. Instead, the maintainers recommend that users ensure their environment is on a secure network in case this pattern is in use. The V1 engine is not affected by this issue. | ||||
| CVE-2024-11041 | 2 Vllm, Vllm-project | 2 Vllm, Vllm | 2025-07-31 | N/A |
| vllm-project vllm version v0.6.2 contains a vulnerability in the MessageQueue.dequeue() API function. The function uses pickle.loads to parse received sockets directly, leading to a remote code execution vulnerability. An attacker can exploit this by sending a malicious payload to the MessageQueue, causing the victim's machine to execute arbitrary code. | ||||
| CVE-2025-49841 | 1 Rvc-boss | 1 Gpt-sovits-webui | 2025-07-30 | 9.8 Critical |
| GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is an unsafe deserialization vulnerability in process_ckpt.py. The SoVITS_dropdown variable takes user input and passes it to the load_sovits_new function in process_ckpt.py. In load_sovits_new, the user input, here sovits_path is used to load a model with torch.load, leading to unsafe deserialization. At time of publication, no known patched versions are available. | ||||
| CVE-2025-49840 | 1 Rvc-boss | 1 Gpt-sovits-webui | 2025-07-30 | 9.8 Critical |
| GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is an unsafe deserialization vulnerability in inference_webui.py. The GPT_dropdown variable takes user input and passes it to the change_gpt_weights function. In change_gpt_weights, the user input, here gpt_path is used to load a model with torch.load, leading to unsafe deserialization. At time of publication, no known patched versions are available. | ||||
| CVE-2025-49838 | 1 Rvc-boss | 1 Gpt-sovits-webui | 2025-07-30 | 9.8 Critical |
| GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is an unsafe deserialization vulnerability in vr.py AudioPreDeEcho. The model_choose variable takes user input (e.g. a path to a model) and passes it to the uvr function. In uvr, a new instance of AudioPreDeEcho class is created with the model_path attribute containing the aforementioned user input (here called locally model_name). Note that in this step the .pth extension is added to the path. In the AudioPreDeEcho class, the user input, here called model_path, is used to load the model on that path with torch.load, which can lead to unsafe deserialization. At time of publication, no known patched versions are available. | ||||
| CVE-2025-49839 | 1 Rvc-boss | 1 Gpt-sovits-webui | 2025-07-30 | 9.8 Critical |
| GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is an unsafe deserialization vulnerability in bsroformer.py. The model_choose variable takes user input (e.g. a path to a model) and passes it to the uvr function. In uvr, a new instance of Roformer_Loader class is created with the model_path attribute containing the aformentioned user input (here called locally model_name). Note that in this step the .ckpt extension is added to the path. In the Roformer_Loader class, the user input, here called model_path, is used to load the model on that path with torch.load, which can lead to unsafe deserialization. At time of publication, no known patched versions are available. | ||||
| CVE-2025-49837 | 1 Rvc-boss | 1 Gpt-sovits-webui | 2025-07-30 | 9.8 Critical |
| GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is an unsafe deserialization vulnerability in vr.py AudioPre. The model_choose variable takes user input (e.g. a path to a model) and passes it to the uvr function. In uvr, a new instance of AudioPre class is created with the model_path attribute containing the aforementioned user input (here called locally model_name). Note that in this step the .pth extension is added to the path. In the AudioPre class, the user input, here called model_path, is used to load the model on that path with torch.load, which can lead to unsafe deserialization. At time of publication, no known patched versions are available. | ||||
| CVE-2023-0669 | 1 Fortra | 1 Goanywhere Managed File Transfer | 2025-07-30 | 7.2 High |
| Fortra (formerly, HelpSystems) GoAnywhere MFT suffers from a pre-authentication command injection vulnerability in the License Response Servlet due to deserializing an arbitrary attacker-controlled object. This issue was patched in version 7.1.2. | ||||
| CVE-2025-2244 | 1 Bitdefender | 1 Gravityzone | 2025-07-30 | 9.8 Critical |
| A vulnerability in the sendMailFromRemoteSource method in Emails.php as used in Bitdefender GravityZone Console unsafely uses php unserialize() on user-supplied input without validation. By crafting a malicious serialized payload, an attacker can trigger PHP object injection, perform a file write, and gain arbitrary command execution on the host system. | ||||
| CVE-2024-5998 | 1 Langchain | 1 Langchain | 2025-07-30 | 7.8 High |
| A vulnerability in the FAISS.deserialize_from_bytes function of langchain-ai/langchain allows for pickle deserialization of untrusted data. This can lead to the execution of arbitrary commands via the os.system function. The issue affects the latest version of the product. | ||||
| CVE-2015-4852 | 1 Oracle | 3 Storagetek Tape Analytics Sw Tool, Virtual Desktop Infrastructure, Weblogic Server | 2025-07-30 | 9.8 Critical |
| The WLS Security component in Oracle WebLogic Server 10.3.6.0, 12.1.2.0, 12.1.3.0, and 12.2.1.0 allows remote attackers to execute arbitrary commands via a crafted serialized Java object in T3 protocol traffic to TCP port 7001, related to oracle_common/modules/com.bea.core.apache.commons.collections.jar. NOTE: the scope of this CVE is limited to the WebLogic Server product. | ||||
| CVE-2015-7450 | 1 Ibm | 7 Sterling B2b Integrator, Sterling Integrator, Tivoli Common Reporting and 4 more | 2025-07-30 | 9.8 Critical |
| Serialized-object interfaces in certain IBM analytics, business solutions, cognitive, IT infrastructure, and mobile and social products allow remote attackers to execute arbitrary commands via a crafted serialized Java object, related to the InvokerTransformer class in the Apache Commons Collections library. | ||||
| CVE-2016-8735 | 6 Apache, Canonical, Debian and 3 more | 19 Tomcat, Ubuntu Linux, Debian Linux and 16 more | 2025-07-30 | 9.8 Critical |
| Remote code execution is possible with Apache Tomcat before 6.0.48, 7.x before 7.0.73, 8.x before 8.0.39, 8.5.x before 8.5.7, and 9.x before 9.0.0.M12 if JmxRemoteLifecycleListener is used and an attacker can reach JMX ports. The issue exists because this listener wasn't updated for consistency with the CVE-2016-3427 Oracle patch that affected credential types. | ||||
| CVE-2017-3066 | 1 Adobe | 1 Coldfusion | 2025-07-30 | 9.8 Critical |
| Adobe ColdFusion 2016 Update 3 and earlier, ColdFusion 11 update 11 and earlier, ColdFusion 10 Update 22 and earlier have a Java deserialization vulnerability in the Apache BlazeDS library. Successful exploitation could lead to arbitrary code execution. | ||||
| CVE-2017-9805 | 3 Apache, Cisco, Netapp | 7 Struts, Digital Media Manager, Hosted Collaboration Solution and 4 more | 2025-07-30 | 8.1 High |
| The REST Plugin in Apache Struts 2.1.1 through 2.3.x before 2.3.34 and 2.5.x before 2.5.13 uses an XStreamHandler with an instance of XStream for deserialization without any type filtering, which can lead to Remote Code Execution when deserializing XML payloads. | ||||