Vulnerabilities (CVE)

There exists a code execution vulnerability in the Car App Android Jetpack Library. CarAppService uses deserialization logic that allows construction of arbitrary java classes. This can lead to arbitrary code execution when combined with specific Java deserialization gadgets. An attacker needs to install a malicious application on victims device to be able to attack any application that uses vulnerable library. We recommend upgrading the library past version 1.7.0-beta02.

The Friends plugin for WordPress is vulnerable to PHP Object Injection in version 3.5.1 via deserialization of untrusted input of the query_vars parameter This makes it possible for authenticated attackers, with subscriber-level access and above, to inject a PHP Object. No known POP chain is present in the vulnerable software, which means this vulnerability has no impact unless another plugin or theme containing a POP chain is installed on the site. If a POP chain is present via an additional pl ... The Friends plugin for WordPress is vulnerable to PHP Object Injection in version 3.5.1 via deserialization of untrusted input of the query_vars parameter This makes it possible for authenticated attackers, with subscriber-level access and above, to inject a PHP Object. No known POP chain is present in the vulnerable software, which means this vulnerability has no impact unless another plugin or theme containing a POP chain is installed on the site. If a POP chain is present via an additional plugin or theme installed on the target system, it may allow the attacker to perform actions like delete arbitrary files, retrieve sensitive data, or execute code depending on the POP chain present. This requires access to the sites SALT_NONCE and and SALT_KEY to exploit.

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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 ckpt_path1 variable takes user input (e.g. a path to a model) and passes it to the show_info function in process_ckpt.py, which uses it 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.

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 ckpt_path2 variable takes user input (e.g. a path to a model) and passes it to the extract_small_model function in process_ckpt.py, which uses it 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.

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 ckpt_path0 variable takes user input (e.g. a path to a model) and passes it to the change_info function in process_ckpt.py, which uses it 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.

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 ckpt_a and cpkt_b variables take user input (e.g. a path to a model) and pass it to the merge function in process_ckpt.py, which uses them to load the models on those paths with torch.load, which can lead to unsafe deserialization and remote code execution. As of time of publication, no known patches exist.

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 ckpt_dir variable takes user input (e.g. a path to a model) and passes it to the change_info function in export.py, which uses it 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.

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 , a new instance of AudioPre class is created with the model_path attribute containing the aformentioned user input. In the AudioPre class, the user input, is used to load the model on that path with torch.load, which can lea ... 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 , a new instance of AudioPre class is created with the model_path attribute containing the aformentioned user input. In the AudioPre 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.

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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 lo ... 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.

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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 ... 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.

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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. ... 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.

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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.

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. T ... 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.

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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 t ... 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.

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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.

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.

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.

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 pat ... 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.

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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 ... 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.

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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 Au ... 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.

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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.

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.

Gibbon through 26.0.00 allows remote authenticated users to conduct PHP deserialization attacks via columnOrder in a POST request to the modules/System%20Admin/import_run.php&type=externalAssessment&step=4 URI.

Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad actors to execute arbitrary code Users are recommended to upgrade to version 1.15.1, which fixes the issue.

IBM Cognos Controller 11.0.0 through 11.0.1 FP3 and IBM Controller 11.1.0 is vulnerable to unrestricted deserialization. This vulnerability allows users to execute arbitrary code, escalate privileges, or cause denial of service attacks by exploiting the unrestricted deserialization of types in the application.

Medtronic MyCareLink Patient Monitor has an internal service that deserializes data, which allows a local attacker to interact with the service by crafting a binary payload to crash the service or elevate privileges. This issue affects MyCareLink Patient Monitor models 24950 and 24952: before June 25, 2025

A remote code execution vulnerability exists in Kaltura versions prior to 11.1.0-2 due to unsafe deserialization of user-controlled data within the keditorservices module. An unauthenticated remote attacker can exploit this issue by sending a specially crafted serialized PHP object in the kdata GET parameter to the redirectWidgetCmd endpoint. Successful exploitation leads to execution of arbitrary PHP code in the context of the web server process.

There exists a use after free vulnerability in Reverb. Reverb supports the VARIANT datatype, which is supposed to represent an arbitrary object in C++. When a tensor proto of type VARIANT is unpacked, memory is first allocated to store the entire tensor, and a ctor is called on each instance. Afterwards, Reverb copies the content in tensor_content to the previously mentioned pre-allocated memory, which results in the bytes in tensor_content overwriting the vtable pointers of all the objects whic ... There exists a use after free vulnerability in Reverb. Reverb supports the VARIANT datatype, which is supposed to represent an arbitrary object in C++. When a tensor proto of type VARIANT is unpacked, memory is first allocated to store the entire tensor, and a ctor is called on each instance. Afterwards, Reverb copies the content in tensor_content to the previously mentioned pre-allocated memory, which results in the bytes in tensor_content overwriting the vtable pointers of all the objects which were previously allocated. Reverb exposes 2 relevant gRPC endpoints: InsertStream and SampleStream. The attacker can insert this stream into the server’s database, then when the client next calls SampleStream they will unpack the tensor into RAM, and when any method on that object is called (including its destructor) the attacker gains control of the Program Counter. We recommend upgrading past git commit  https://github.com/google-deepmind/reverb/commit/6a0dcf4c9e842b7f999912f792aaa6f6bd261a25

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A vulnerability in the web-based management interface of Cisco Unified CCX could allow an authenticated, remote attacker to execute arbitrary code on an affected device. To exploit this vulnerability, the attacker must have valid administrative credentials.  This vulnerability is due to insecure deserialization of Java objects by the affected software. An attacker could exploit this vulnerability by sending a crafted Java object to an affected device. A successful exploit could allow the ... A vulnerability in the web-based management interface of Cisco Unified CCX could allow an authenticated, remote attacker to execute arbitrary code on an affected device. To exploit this vulnerability, the attacker must have valid administrative credentials.  This vulnerability is due to insecure deserialization of Java objects by the affected software. An attacker could exploit this vulnerability by sending a crafted Java object to an affected device. A successful exploit could allow the attacker to execute arbitrary code on the underlying operating system of an affected device as a low-privilege user. A successful exploit could also allow the attacker to undertake further actions to elevate their privileges to root.

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A vulnerability in the file opening process of Cisco Unified Contact Center Express (Unified CCX) Editor could allow an unauthenticated attacker to execute arbitrary code on an affected device.  This vulnerability is due to insecure deserialization of Java objects by the affected software. An attacker could exploit this vulnerability by persuading an authenticated, local user to open a crafted .aef file. A successful exploit could allow the attacker to execute arbitrary code on the host ... A vulnerability in the file opening process of Cisco Unified Contact Center Express (Unified CCX) Editor could allow an unauthenticated attacker to execute arbitrary code on an affected device.  This vulnerability is due to insecure deserialization of Java objects by the affected software. An attacker could exploit this vulnerability by persuading an authenticated, local user to open a crafted .aef file. A successful exploit could allow the attacker to execute arbitrary code on the host that is running the editor application with the privileges of the user who launched it.

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The Integration for Google Sheets and Contact Form 7, WPForms, Elementor, Ninja Forms plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.1.1 via deserialization of untrusted input within the verify_field_val() function. This makes it possible for unauthenticated attackers to inject a PHP Object. The additional presence of a POP chain in the Contact Form 7 plugin, which is likely to be used alongside, allows attackers to delete arbitrary files, lead ... The Integration for Google Sheets and Contact Form 7, WPForms, Elementor, Ninja Forms plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.1.1 via deserialization of untrusted input within the verify_field_val() function. This makes it possible for unauthenticated attackers to inject a PHP Object. The additional presence of a POP chain in the Contact Form 7 plugin, which is likely to be used alongside, allows attackers to delete arbitrary files, leading to a denial of service or remote code execution when the wp-config.php file is deleted.

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WinMatrix3 developed by Simopro Technology has an Insecure Deserialization vulnerability, allowing unauthenticated remote attackers to execute arbitrary code on the server by sending maliciously crafted serialized contents.

The Integration for Pipedrive and Contact Form 7, WPForms, Elementor, Ninja Forms plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.2.3 via deserialization of untrusted input within the verify_field_val() function. This makes it possible for unauthenticated attackers to inject a PHP Object. The additional presence of a POP chain in the Contact Form 7 plugin, which is likely to be used alongside, allows attackers to delete arbitrary files, leading ... The Integration for Pipedrive and Contact Form 7, WPForms, Elementor, Ninja Forms plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.2.3 via deserialization of untrusted input within the verify_field_val() function. This makes it possible for unauthenticated attackers to inject a PHP Object. The additional presence of a POP chain in the Contact Form 7 plugin, which is likely to be used alongside, allows attackers to delete arbitrary files, leading to a denial of service or remote code execution when the wp-config.php file is deleted.

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An issue was discovered in NumPy before 1.16.3. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.

A vulnerability classified as problematic was found in Xuxueli xxl-job up to 2.4.1. This vulnerability affects the function deserialize of the file com/xxl/job/core/util/JdkSerializeTool.java of the component Template Handler. The manipulation leads to injection. The exploit has been disclosed to the public and may be used. The identifier of this vulnerability is VDB-259480.

IBM WebSphere Application Server 8.5 and 9.0 could allow a remote attacker to execute arbitrary code on the system with a specially crafted sequence of serialized objects.

Adobe Experience Manager (MS) versions 6.5.23.0 and earlier are affected by a Deserialization of Untrusted Data vulnerability that could lead to arbitrary code execution by an attacker. Exploitation of this issue does not require user interaction. Scope is unchanged.

A local privilege escalation vulnerability in Sophos Intercept X for Windows with Central Device Encryption 2025.1 and older allows arbitrary code execution.

Deserialization of Untrusted Data vulnerability in Melapress MelaPress Login Security allows Object Injection. This issue affects MelaPress Login Security: from n/a through 2.1.0.

Deserialization of Untrusted Data vulnerability in Md Yeasin Ul Haider URL Shortener allows Object Injection. This issue affects URL Shortener: from n/a through 3.0.7.