Filtered by vendor Redhat
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Filtered by product Amq Streams
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Total
110 CVE
CVE | Vendors | Products | Updated | CVSS v3.1 |
---|---|---|---|---|
CVE-2023-0482 | 2 Netapp, Redhat | 10 Active Iq Unified Manager, Oncommand Workflow Automation, Amq Broker and 7 more | 2025-02-10 | 5.5 Medium |
In RESTEasy the insecure File.createTempFile() is used in the DataSourceProvider, FileProvider and Mime4JWorkaround classes which creates temp files with insecure permissions that could be read by a local user. | ||||
CVE-2024-12397 | 1 Redhat | 13 Amq Streams, Build Keycloak, Camel Quarkus and 10 more | 2025-02-07 | 7.4 High |
A flaw was found in Quarkus-HTTP, which incorrectly parses cookies with certain value-delimiting characters in incoming requests. This issue could allow an attacker to construct a cookie value to exfiltrate HttpOnly cookie values or spoof arbitrary additional cookie values, leading to unauthorized data access or modification. The main threat from this flaw impacts data confidentiality and integrity. | ||||
CVE-2024-1249 | 1 Redhat | 15 Amq Broker, Amq Streams, Build Keycloak and 12 more | 2025-02-06 | 7.4 High |
A flaw was found in Keycloak's OIDC component in the "checkLoginIframe," which allows unvalidated cross-origin messages. This flaw allows attackers to coordinate and send millions of requests in seconds using simple code, significantly impacting the application's availability without proper origin validation for incoming messages. | ||||
CVE-2021-44228 | 13 Apache, Apple, Bentley and 10 more | 167 Log4j, Xcode, Synchro and 164 more | 2025-02-04 | 10 Critical |
Apache Log4j2 2.0-beta9 through 2.15.0 (excluding security releases 2.12.2, 2.12.3, and 2.3.1) JNDI features used in configuration, log messages, and parameters do not protect against attacker controlled LDAP and other JNDI related endpoints. An attacker who can control log messages or log message parameters can execute arbitrary code loaded from LDAP servers when message lookup substitution is enabled. From log4j 2.15.0, this behavior has been disabled by default. From version 2.16.0 (along with 2.12.2, 2.12.3, and 2.3.1), this functionality has been completely removed. Note that this vulnerability is specific to log4j-core and does not affect log4net, log4cxx, or other Apache Logging Services projects. | ||||
CVE-2024-47554 | 1 Redhat | 1 Amq Streams | 2025-01-31 | 4.3 Medium |
Uncontrolled Resource Consumption vulnerability in Apache Commons IO. The org.apache.commons.io.input.XmlStreamReader class may excessively consume CPU resources when processing maliciously crafted input. This issue affects Apache Commons IO: from 2.0 before 2.14.0. Users are recommended to upgrade to version 2.14.0 or later, which fixes the issue. | ||||
CVE-2024-3653 | 1 Redhat | 17 Amq Streams, Build Keycloak, Camel Quarkus and 14 more | 2025-01-09 | 5.3 Medium |
A vulnerability was found in Undertow. This issue requires enabling the learning-push handler in the server's config, which is disabled by default, leaving the maxAge config in the handler unconfigured. The default is -1, which makes the handler vulnerable. If someone overwrites that config, the server is not subject to the attack. The attacker needs to be able to reach the server with a normal HTTP request. | ||||
CVE-2024-8285 | 1 Redhat | 2 Amq Streams, Kroxylicious | 2024-12-30 | 5.9 Medium |
A flaw was found in Kroxylicious. When establishing the connection with the upstream Kafka server using a TLS secured connection, Kroxylicious fails to properly verify the server's hostname, resulting in an insecure connection. For a successful attack to be performed, the attacker needs to perform a Man-in-the-Middle attack or compromise any external systems, such as DNS or network routing configuration. This issue is considered a high complexity attack, with additional high privileges required, as the attack would need access to the Kroxylicious configuration or a peer system. The result of a successful attack impacts both data integrity and confidentiality. | ||||
CVE-2023-44487 | 32 Akka, Amazon, Apache and 29 more | 364 Http Server, Opensearch Data Prepper, Apisix and 361 more | 2024-12-20 | 7.5 High |
The HTTP/2 protocol allows a denial of service (server resource consumption) because request cancellation can reset many streams quickly, as exploited in the wild in August through October 2023. | ||||
CVE-2024-7254 | 2 Google, Redhat | 10 Google-protobuf, Protobuf, Protobuf-java and 7 more | 2024-12-13 | 7.5 High |
Any project that parses untrusted Protocol Buffers data containing an arbitrary number of nested groups / series of SGROUP tags can corrupted by exceeding the stack limit i.e. StackOverflow. Parsing nested groups as unknown fields with DiscardUnknownFieldsParser or Java Protobuf Lite parser, or against Protobuf map fields, creates unbounded recursions that can be abused by an attacker. | ||||
CVE-2024-2700 | 1 Redhat | 10 Amq Streams, Apicurio Registry, Build Keycloak and 7 more | 2024-12-12 | 7 High |
A vulnerability was found in the quarkus-core component. Quarkus captures local environment variables from the Quarkus namespace during the application's build, therefore, running the resulting application inherits the values captured at build time. Some local environment variables may have been set by the developer or CI environment for testing purposes, such as dropping the database during application startup or trusting all TLS certificates to accept self-signed certificates. If these properties are configured using environment variables or the .env facility, they are captured into the built application, which can lead to dangerous behavior if the application does not override these values. This behavior only happens for configuration properties from the `quarkus.*` namespace. Application-specific properties are not captured. | ||||
CVE-2023-34454 | 2 Redhat, Xerial | 3 Amq Streams, Quarkus, Snappy-java | 2024-12-12 | 5.9 Medium |
snappy-java is a fast compressor/decompressor for Java. Due to unchecked multiplications, an integer overflow may occur in versions prior to 1.1.10.1, causing an unrecoverable fatal error. The function `compress(char[] input)` in the file `Snappy.java` receives an array of characters and compresses it. It does so by multiplying the length by 2 and passing it to the rawCompress` function. Since the length is not tested, the multiplication by two can cause an integer overflow and become negative. The rawCompress function then uses the received length and passes it to the natively compiled maxCompressedLength function, using the returned value to allocate a byte array. Since the maxCompressedLength function treats the length as an unsigned integer, it doesn’t care that it is negative, and it returns a valid value, which is casted to a signed integer by the Java engine. If the result is negative, a `java.lang.NegativeArraySizeException` exception will be raised while trying to allocate the array `buf`. On the other side, if the result is positive, the `buf` array will successfully be allocated, but its size might be too small to use for the compression, causing a fatal Access Violation error. The same issue exists also when using the `compress` functions that receive double, float, int, long and short, each using a different multiplier that may cause the same issue. The issue most likely won’t occur when using a byte array, since creating a byte array of size 0x80000000 (or any other negative value) is impossible in the first place. Version 1.1.10.1 contains a patch for this issue. | ||||
CVE-2023-34453 | 2 Redhat, Xerial | 3 Amq Streams, Quarkus, Snappy-java | 2024-12-12 | 5.9 Medium |
snappy-java is a fast compressor/decompressor for Java. Due to unchecked multiplications, an integer overflow may occur in versions prior to 1.1.10.1, causing a fatal error. The function `shuffle(int[] input)` in the file `BitShuffle.java` receives an array of integers and applies a bit shuffle on it. It does so by multiplying the length by 4 and passing it to the natively compiled shuffle function. Since the length is not tested, the multiplication by four can cause an integer overflow and become a smaller value than the true size, or even zero or negative. In the case of a negative value, a `java.lang.NegativeArraySizeException` exception will raise, which can crash the program. In a case of a value that is zero or too small, the code that afterwards references the shuffled array will assume a bigger size of the array, which might cause exceptions such as `java.lang.ArrayIndexOutOfBoundsException`. The same issue exists also when using the `shuffle` functions that receive a double, float, long and short, each using a different multiplier that may cause the same issue. Version 1.1.10.1 contains a patch for this vulnerability. | ||||
CVE-2023-33201 | 2 Bouncycastle, Redhat | 10 Bc-java, Amq Broker, Amq Streams and 7 more | 2024-12-04 | 5.3 Medium |
Bouncy Castle For Java before 1.74 is affected by an LDAP injection vulnerability. The vulnerability only affects applications that use an LDAP CertStore from Bouncy Castle to validate X.509 certificates. During the certificate validation process, Bouncy Castle inserts the certificate's Subject Name into an LDAP search filter without any escaping, which leads to an LDAP injection vulnerability. | ||||
CVE-2024-1300 | 1 Redhat | 20 A Mq Clients, Amq Broker, Amq Streams and 17 more | 2024-11-25 | 5.4 Medium |
A vulnerability in the Eclipse Vert.x toolkit causes a memory leak in TCP servers configured with TLS and SNI support. When processing an unknown SNI server name assigned the default certificate instead of a mapped certificate, the SSL context is erroneously cached in the server name map, leading to memory exhaustion. This flaw allows attackers to send TLS client hello messages with fake server names, triggering a JVM out-of-memory error. | ||||
CVE-2024-1023 | 1 Redhat | 20 A Mq Clients, Amq Broker, Amq Streams and 17 more | 2024-11-25 | 6.5 Medium |
A vulnerability in the Eclipse Vert.x toolkit results in a memory leak due to using Netty FastThreadLocal data structures. Specifically, when the Vert.x HTTP client establishes connections to different hosts, triggering the memory leak. The leak can be accelerated with intimate runtime knowledge, allowing an attacker to exploit this vulnerability. For instance, a server accepting arbitrary internet addresses could serve as an attack vector by connecting to these addresses, thereby accelerating the memory leak. | ||||
CVE-2024-1635 | 1 Redhat | 16 Amq Streams, Build Keycloak, Camel Quarkus and 13 more | 2024-11-21 | 7.5 High |
A vulnerability was found in Undertow. This vulnerability impacts a server that supports the wildfly-http-client protocol. Whenever a malicious user opens and closes a connection with the HTTP port of the server and then closes the connection immediately, the server will end with both memory and open file limits exhausted at some point, depending on the amount of memory available. At HTTP upgrade to remoting, the WriteTimeoutStreamSinkConduit leaks connections if RemotingConnection is closed by Remoting ServerConnectionOpenListener. Because the remoting connection originates in Undertow as part of the HTTP upgrade, there is an external layer to the remoting connection. This connection is unaware of the outermost layer when closing the connection during the connection opening procedure. Hence, the Undertow WriteTimeoutStreamSinkConduit is not notified of the closed connection in this scenario. Because WriteTimeoutStreamSinkConduit creates a timeout task, the whole dependency tree leaks via that task, which is added to XNIO WorkerThread. So, the workerThread points to the Undertow conduit, which contains the connections and causes the leak. | ||||
CVE-2023-51074 | 2 Json-path, Redhat | 5 Jayway Jsonpath, Amq Streams, Apache-camel-spring-boot and 2 more | 2024-11-21 | 5.3 Medium |
json-path v2.8.0 was discovered to contain a stack overflow via the Criteria.parse() method. | ||||
CVE-2023-43642 | 2 Redhat, Xerial | 3 Amq Streams, Quarkus, Snappy-java | 2024-11-21 | 7.5 High |
snappy-java is a Java port of the snappy, a fast C++ compresser/decompresser developed by Google. The SnappyInputStream was found to be vulnerable to Denial of Service (DoS) attacks when decompressing data with a too large chunk size. Due to missing upper bound check on chunk length, an unrecoverable fatal error can occur. All versions of snappy-java including the latest released version 1.1.10.3 are vulnerable to this issue. A fix has been introduced in commit `9f8c3cf74` which will be included in the 1.1.10.4 release. Users are advised to upgrade. Users unable to upgrade should only accept compressed data from trusted sources. | ||||
CVE-2023-3635 | 2 Redhat, Squareup | 6 Amq Streams, Jboss Enterprise Bpms Platform, Jboss Fuse and 3 more | 2024-11-21 | 5.9 Medium |
GzipSource does not handle an exception that might be raised when parsing a malformed gzip buffer. This may lead to denial of service of the Okio client when handling a crafted GZIP archive, by using the GzipSource class. | ||||
CVE-2023-3089 | 1 Redhat | 18 Acm, Amq Streams, Container Native Virtualization and 15 more | 2024-11-21 | 7 High |
A compliance problem was found in the Red Hat OpenShift Container Platform. Red Hat discovered that, when FIPS mode was enabled, not all of the cryptographic modules in use were FIPS-validated. |