Apache Camel: Camel-Hazelcast: Unsafe Java deserialization in default-configured managed Hazelcast instances enables remote code execution

Deserialization of Untrusted Data vulnerability in Apache Camel Hazelcast component. The camel-hazelcast component creates and manages Hazelcast instances using a default configuration that applies no Java deserialization filter. When Camel builds the Hazelcast Config itself - that is, when no user-supplied HazelcastInstance, hazelcastConfigUri, or referenced Config bean is provided - neither Hazelcast's JavaSerializationFilterConfig nor a Camel-side ObjectInputFilter is configured, so objects received over the Hazelcast cluster protocol are deserialized inside Hazelcast's own serialization layer (ObjectInputStream.readObject) before Camel ever processes them. An attacker who can join or otherwise reach the Hazelcast cluster can publish a crafted serialized Java object that is then deserialized on every Camel node, resulting in remote code execution. The exposure is present by default and requires no opt-in endpoint configuration: any route using a hazelcast consumer (hazelcast-topic, hazelcast-queue, hazelcast-seda, hazelcast-map, hazelcast-multimap, hazelcast-replicatedmap, hazelcast-list, hazelcast-set), as well as the HazelcastAggregationRepository and HazelcastIdempotentRepository, is affected whenever the managed instance is created from Camel's default configuration. This issue affects Apache Camel: from 4.0.0 before 4.14.8, from 4.15.0 before 4.18.3, from 4.19.0 before 4.21.0. Users are recommended to upgrade to version 4.21.0, which fixes the issue. If users are on the 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.8. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.3. The fix makes Camel apply a default Hazelcast JavaSerializationFilterConfig (whitelisting the java., javax. and org.apache.camel. class-name prefixes and blacklisting java.net.) to instances it creates from its own default configuration, while leaving any user-supplied Config or HazelcastInstance untouched. For deployments that cannot upgrade immediately, configure a deserialization filter on the Hazelcast instance (Hazelcast JavaSerializationFilterConfig, or the JVM-wide system property -Djdk.serialFilter=!java.net.**;java.**;javax.**;org.apache.camel.**;!*) and enable Hazelcast cluster authentication and TLS to restrict who can reach the cluster.

AD-Security AD_Miner Cache analyse_cache.py request_a deserialization

A vulnerability was determined in AD-Security AD_Miner 1.9.0. Affected is the function request_a of the file ad_miner/scripts/analyse_cache.py of the component Cache Handler. This manipulation of the argument sys.argv[1] causes deserialization. The attack can only be executed locally. The pull request to fix this issue awaits acceptance.

picklescan - Arbitrary Code Execution via Unsafe Deserialization in numpy.f2py.crackfortran

picklescan before 0.0.33 fails to detect unsafe deserialization when numpy.f2py.crackfortran functions call eval on arbitrary strings. Attackers can embed malicious code in pickle files that executes when loaded from untrusted sources.

picklescan - Arbitrary Code Execution via torch.utils.bottleneck.__main__.run_autograd_prof

picklescan before 0.0.30 fails to detect malicious pickle files that invoke torch.utils.bottleneck.__main__.run_autograd_prof function. Attackers can embed undetected code in pickle files that executes during deserialization, enabling remote code execution.

picklescan - Undetected Remote Code Execution via idlelib.run.Executive.runcode

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.

picklescan - Unsafe Deserialization via lib2to3.pgen2.grammar.Grammar.loads

picklescan before 0.0.29 fails to detect malicious pickle payloads that utilize lib2to3.pgen2.grammar.Grammar.loads in the reduce method, allowing remote code execution. Attackers can craft pickle files embedding dangerous code that evades picklescan detection and executes during pickle.load() deserialization.

picklescan - Unsafe Deserialization via torch.utils.data.datapipes.utils.decoder.basichandlers

picklescan before 0.0.28 fails to detect malicious pickle files that use torch.utils.data.datapipes.utils.decoder.basichandlers in reduce methods, allowing attackers to bypass safety checks. Remote attackers can embed undetected malicious code in pickle files that executes during deserialization, enabling remote code execution.

picklescan - Arbitrary Code Execution via torch.fx.experimental.symbolic_shapes.ShapeEnv.evaluate_guards_expression

picklescan before 0.0.28 fails to detect malicious torch.fx.experimental.symbolic_shapes.ShapeEnv.evaluate_guards_expression function calls in pickle files. Attackers can embed undetected code in pickle files that executes remote code when loaded by victims.

picklescan - Remote Code Execution via _operator.attrgetter Detection Bypass

picklescan before 0.0.34 fails to detect _operator.attrgetter function calls in pickle payloads, allowing attackers to bypass security checks. Remote attackers can craft malicious pickle files using _operator.attrgetter in reduce methods to execute arbitrary code when pickle.load() processes the file.

mchange-commons-java contains elements susceptible to abuse via JNDI injection and "deserialization gadgets"

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.

picklescan - Remote Code Execution via torch._dynamo.guards.GuardBuilder.get

picklescan before 0.0.28 fails to detect malicious pickle files that exploit torch._dynamo.guards.GuardBuilder.get function in reduce methods. Attackers can craft pickle files with embedded code that evades picklescan detection and executes arbitrary commands when loaded.

picklescan - Arbitrary Code Execution via torch.utils.bottleneck.__main__.run_cprofile

picklescan before 0.0.28 fails to detect malicious torch.utils.bottleneck.__main__.run_cprofile function calls in pickle files, allowing attackers to bypass safety checks. Remote attackers can embed undetected code in pickle files to achieve arbitrary code execution when victims load the files.

A PHP object injection bug in profile.php in qcubed (all versions including 3.1.1) unserializes the untrusted data of the POST-variable "strProfileData" and allows an unauthenticated attacker to execute code via a crafted POST request.

PHP object injection in the Ajax endpoint of the backend in ForkCMS below version 5.8.3 allows an authenticated remote user to execute malicious code.

RCE via Deserialization in AWS Advanced JDBC Wrapper

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.

WordPress Themify Popup plugin <= 1.4.3 - PHP Object Injection vulnerability

Deserialization of Untrusted Data vulnerability in Themify Themify Popup allows Object Injection. This issue affects Themify Popup: from n/a through 1.4.3.

Microsoft SharePoint Remote Code Execution Vulnerability

Deserialization of untrusted data in Microsoft Office SharePoint allows an authorized attacker to execute code over a network.

Improper deserialization handling in Control-M Components

Messaging consumer functionality allows deserialization of user-controlled data without sufficient restriction of allowed object types in the out of support Control-M/Server and Control-M/Enterprise Manager versions 9.0.20.x and potentially earlier. This issue may allow an authenticated attacker to trigger unintended server-side behavior through crafted serialized content.

Insecure Deserialization in Redis Cache Backend

IBM Langflow OSS 1.0.0 through 1.10.0 allows users with Redis access to execute arbitrary code with full application privileges, compromising all secrets, data, and system integrity.

c3p0 exposes a deserialization "sink" via JDBC DataSource bean properties

c3p0 is a JDBC Connection pooling library. In versions prior to 0.14.0, c3p0 in combination with other libraries, can compose to a "sink" for deserialization gadgets. The JDBC spec's DataSource.getConnection() and ConnectionPoolDataSource.getPooledConnection() match the getXXX() form, so JavaBean libraries treat them as "properties" assumed safe while they actually call into JDBC drivers. Attackers can thus craft malicious DataSource objects whose property lookups invoke vulnerable drivers, then smuggle them in serialized form to where an application deserializes and auto-resolves bean properties — triggering the attack. This requires a susceptible DataSource/ConnectionPoolDataSource and JDBC driver on the CLASSPATH, plus a carrier that auto-looks-up JavaBean properties on = deserialization, most commonly a collection paired with an Apache commons-beanutils Comparator that sorts by bean properties. c3p0 supplied that susceptible DataSource/ConnectionPoolDataSource, which was an essential component of the trigger. This issue has been fixed in version 0.14.0.