| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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. |
| 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 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 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. |
| libcurl had a flaw that when instructed to clear proxy authentication
credentials which made it not do so, leaving the old credentials around to get
used for subsequent transfers that should not know nor use them. |
| 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 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 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. |
| A weakness has been identified in zcaceres markdownify-mcp up to 1.1.0. The affected element is the function assertPathAllowed of the file src/Markdownify.ts. Executing a manipulation can lead to symlink following. The attack can only be executed locally. The pull request to fix this issue awaits acceptance. |
| 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 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 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 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 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. |
| Improper link resolution before file access ('link following') in Microsoft Edge (Chromium-based) allows an unauthorized attacker to disclose information over a network. |
| A vulnerability was discovered on StormShield Network Security 4.3.0 to 4.3.41 (included), 4.8.0 to 4.8.15 (included) , 5.0.0 to 5.0.5 (included)
There is a possible leak of secret information if administration commands have been passed with the CLI command line tool.
Someone with SSH access to the firewall (if SSH multiuser mode is enabled) could possibly get the proxy CA passphrase or TPM password. |
| OpenTelemetry Java Instrumentation provides OpenTelemetry auto-instrumentation and instrumentation libraries for Java. In versions prior to 2.28.0, the JDBC auto-instrumentation may fail to sanitize passwords in SQL CONNECT statements when the password is double-quoted. As a result, clear-text database passwords can be added to trace span attributes and exported to observability backends. This issue has been fixed in version 2.28.0. |
| containerd is an open-source container runtime. Versions prior to 2.3.2, 2.2.5 and 2.1.9 contain a bug where the CRI plugin restores container.log from a checkpoint image without validating a symlinked path. This could result in reading an arbitrary file on the host via kubectl logs. This issue has been fixed in versions 2.3.2, 2.2.5 and 2.1.9. |
| 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. |
| Deserialization of Untrusted Data vulnerability in Themify Themify Popup allows Object Injection.
This issue affects Themify Popup: from n/a through 1.4.3. |
