| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A fastjson deserialization vulnerability in uzy-ssm-mall v1.1.0 allows attackers to execute arbitrary code via supplying a crafted input. |
| TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application. |
| joblib v1.4.2 was discovered to contain a deserialization vulnerability via the component joblib.numpy_pickle::NumpyArrayWrapper().read_array(). NOTE: this is disputed by the supplier because NumpyArrayWrapper is only used during caching of trusted content. |
| OpenCATS v0.9.6 was discovered to contain a remote code execution (RCE) vulnerability via the getDataGridPager's ajax functionality. |
| ParcelMismatch vulnerability in attribute deserialization.
Impact: Successful exploitation of this vulnerability may cause playback control screen display exceptions. |
| A flaw was found in jackson-databind before 2.9.10.7. FasterXML mishandles the interaction between serialization gadgets and typing. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability. |
| A Polymorphic Typing issue was discovered in FasterXML jackson-databind 2.x through 2.9.9. When Default Typing is enabled (either globally or for a specific property) for an externally exposed JSON endpoint and the service has JDOM 1.x or 2.x jar in the classpath, an attacker can send a specifically crafted JSON message that allows them to read arbitrary local files on the server. |
| FasterXML jackson-databind through 2.8.10 and 2.9.x through 2.9.3 allows unauthenticated remote code execution because of an incomplete fix for the CVE-2017-7525 deserialization flaw. This is exploitable by sending maliciously crafted JSON input to the readValue method of the ObjectMapper, bypassing a blacklist that is ineffective if the Spring libraries are available in the classpath. |
| A vulnerability was found in Antabot White-Jotter 0.22. It has been declared as critical. This vulnerability affects the function CookieRememberMeManager of the file ShiroConfiguration.java of the component com.gm.wj.config.ShiroConfiguration. The manipulation with the input EVANNIGHTLY_WAOU leads to deserialization. The attack can be initiated remotely. The complexity of an attack is rather high. The exploitation appears to be difficult. The exploit has been disclosed to the public and may be used. |
| Deserialization vulnerability of untrusted data in the ability module.
Impact: Successful exploitation of this vulnerability may affect availability. |
| A deserialization flaw was discovered in jackson-databind through 2.9.10.4. It could allow an unauthenticated user to perform code execution via ignite-jta or quartz-core: org.apache.ignite.cache.jta.jndi.CacheJndiTmLookup, org.apache.ignite.cache.jta.jndi.CacheJndiTmFactory, and org.quartz.utils.JNDIConnectionProvider. |
| Issue of inconsistent read/write serialization in the ad module.
Impact: Successful exploitation of this vulnerability may affect the availability of the ad service. |
| The ObjectSerializationDecoder in Apache MINA uses Java’s native deserialization protocol to process
incoming serialized data but lacks the necessary security checks and defenses. This vulnerability allows
attackers to exploit the deserialization process by sending specially crafted malicious serialized data,
potentially leading to remote code execution (RCE) attacks.
This issue affects MINA core versions 2.0.X, 2.1.X and 2.2.X, and will be fixed by the releases 2.0.27, 2.1.10 and 2.2.4.
It's also important to note that an application using MINA core library will only be affected if the IoBuffer#getObject() method is called, and this specific method is potentially called when adding a ProtocolCodecFilter instance using the ObjectSerializationCodecFactory class in the filter chain. If your application is specifically using those classes, you have to upgrade to the latest version of MINA core library.
Upgrading will not be enough: you also need to explicitly allow the classes the decoder will accept in the ObjectSerializationDecoder instance, using one of the three new methods:
/**
* Accept class names where the supplied ClassNameMatcher matches for
* deserialization, unless they are otherwise rejected.
*
* @param classNameMatcher the matcher to use
*/
public void accept(ClassNameMatcher classNameMatcher)
/**
* Accept class names that match the supplied pattern for
* deserialization, unless they are otherwise rejected.
*
* @param pattern standard Java regexp
*/
public void accept(Pattern pattern)
/**
* Accept the wildcard specified classes for deserialization,
* unless they are otherwise rejected.
*
* @param patterns Wildcard file name patterns as defined by
* {@link org.apache.commons.io.FilenameUtils#wildcardMatch(String, String) FilenameUtils.wildcardMatch}
*/
public void accept(String... patterns)
By default, the decoder will reject *all* classes that will be present in the incoming data.
Note: The FtpServer, SSHd and Vysper sub-project are not affected by this issue. |
| 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 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 , 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. |
