Deserialization of Untrusted Data

picklescan before 0.0.30 fails to detect malicious pickle files that exploit lib2to3.pgen2.pgen.ParserGenerator.make_label function in the reduce method. Attackers can craft malicious pickle files with embedded code that evades detection but executes arbitrary commands when pickle.load() is called.Show less

picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.run.Executive.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes during pickle.load, enabling remote code execution in PyTorch models and supply chain attacks.Show less

A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the `Lambda` layer. Specifically, the `_raise_for_lambda_deserialization()` function fails to enforce the safe-mode guard when `safe_mode` is set to `None`, which is the default value when `from_config()` is called outside of a `SafeModeScope` context. This logic error conflates `None` (unset/default-deny) with `False` (explicitly disabled), bypassing the guard and allowing attacker-controlled `marshal` bytecode to be deserialized. Affected call sites include `keras.layers.deserialize(config)`, `keras.models.clone_model(model)`, and any direct invocation of `Lambda.from_config(config)` without an enclosing `SafeModeScope(True)`. This vulnerability can be exploited to achieve arbitrary OS-level code execution in the context of the server or user process.Show less

An authenticated administrator can trigger a denial-of-service condition in the Fireware Management Web UI by sending malformed or crafted data to the put_data endpoint, which performs unsafe deserialization of the attacker-supplied input.Show less

mchange-commons-java is a Java library of shared utility classes used by mchange projects like the c3p0 connection pool. Prior to version 0.6.0, its JNDI ObjectFactory implementation (com.mchange.v2.naming.JavaBeanObjectFactory) will construct objects of arbitrary classes and initialize "JavaBean"-style properties, which for certain classes enables JNDI injection and "deserialization gadgets." Such initialization is unsafe for some classes: for example, setting the contentType property of a Swing JEditorPane to text/html and its text property to HTML containing a stylesheet <link> will provoke an HTTP GET on an arbitrary URL, potentially from within a trusted security domain. The problem is aggravated by the library's ReferenceIndirector, through which malicious JNDI Reference objects can be smuggled in for dereferencing wherever an application reads a Java-serialized object. This has been resolved in version 0.6.0.Show less

Deserialization of untrusted data in the RemoteQueryCachePlugin in Amazon Web Services AWS Advanced JDBC Wrapper 3.3.0 through 4.0.0 might allow an actor with write access to the shared cache infrastructure to execute arbitrary code on application servers that read cached query results via a crafted serialized Java object. The RemoteQueryCachePlugin uses ObjectInputStream without class filtering when deserializing cached query results from Redis or Valkey, enabling gadget chain execution when cache entries are poisoned. We recommend upgrading to AWS Advanced JDBC Wrapper version 4.0.1 or later.Show less

An issue in Pivotal CRM 6.6.4.08 and systems using patch-ghi-15381-cwe-502-20251225.zip (fixed in Pivotal CRM 6.6.5.10 and Patch_CWE502_20260316.zip) allows a remote attacker to execute arbitrary code via the Pivotal.Engine.Client.Services.Conversion.dll component. NOTE: this issue exists because of an incomplete fix for CVE-2026-39253.Show less

Ray prior to 2.56.0 contains an unsafe deserialization vulnerability in the WebDataset reader that allows attackers to achieve remote code execution by supplying a malicious tar archive to the read_webdataset() function. The _default_decoder() function in webdataset_datasource.py unconditionally calls pickle.loads() on tar entries with .pkl/.pickle extensions and torch.load() with weights_only=False on .pt/.pth entries, executing arbitrary code inside Ray remote workers on every worker that processes the malicious archive.Show less

PACSgear MediaWriter 5.2.1 exposes a .NET Remoting TCP service on port 9000 via PacsgearMediaServerEngine.dll, registered with ObjectURIs RemoteObj and UIRemoteObj, without any authentication requirement. By exploiting the MarshalByRefObject object unmarshalling technique and implementing .NET WebClient class methods, an unauthenticated remote attacker can read and write arbitrary files on the host filesystem. The ObjectURIs are identical across all installations by default. Chaining the arbitrary file write primitive with DLL hijacking opportunities in the MediaWriter service (which runs as NT Authority\\SYSTEM and loads missing DLLs such as CRYPTBASE.DLL from the application directory) enables unauthenticated remote code execution as SYSTEM upon service restart.Show less

PACSgear PACS Scan 5.2.1 contains an unauthenticated remote code execution vulnerability that allows remote attackers to read and write arbitrary files by exploiting an exposed .NET Remoting TCP service on port 22222 via PGImageExchQueue.exe without any authentication requirement. Attackers can chain the arbitrary file write primitive with DLL hijacking in PGImageExchangeQueueSvc.exe, which loads missing DLLs such as CRYPTSP.DLL from the application directory, to achieve remote code execution as NT Authority\SYSTEM upon service restart.Show less

Deserialization of untrusted data vulnerability in Wikimedia Foundation MediaWiki. This vulnerability is associated with program files includes/Import/WikiImporter.Php, includes/Import/WikiRevision.Php, includes/Logging/LogEntryBase.Php. This issue affects MediaWiki: from * before 1.46.0, 1.45.4, 1.44.6, 1.43.9.Show less

NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause improper control of dynamically managed code resources. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.Show less

NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause improper validation of allowed inputs. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.Show less

NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.Show less

NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.Show less