#java

Red Hat Security Advisory 2023-3622-01 - Jenkins is a continuous integration server that monitors executions of repeated jobs, such as building a software project or jobs run by cron. Issues addressed include bypass, code execution, cross site request forgery, denial of service, information leakage, insecure permissions, and resource exhaustion vulnerabilities.

Red Hat Security Advisory 2023-3624-01 - The Migration Toolkit for Containers enables you to migrate Kubernetes resources, persistent volume data, and internal container images between OpenShift Container Platform clusters, using the MTC web console or the Kubernetes API. Issues addressed include a denial of service vulnerability.

Red Hat Security Advisory 2023-3610-01 - Jenkins is a continuous integration server that monitors executions of repeated jobs, such as building a software project or jobs run by cron. Issues addressed include bypass, code execution, cross site request forgery, cross site scripting, denial of service, memory exhaustion, and resource exhaustion vulnerabilities.

Red Hat OpenShift Service Mesh Containers for 2.4.0 Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original. Related CVEs: * CVE-2023-24540: A flaw was found in golang, where not all valid JavaScript white-space characters were considered white space. Due to this issue, templates containing white-space characters outside of the character set "\t\n\f\r\u0020\u2028\u2029" in JavaScript contexts that also contain actions may not be properly sanitized during execution.

RedTeam Pentesting discovered that the web interface of STARFACE as well as its REST API allows authentication using the SHA512 hash of the password instead of the cleartext password. While storing password hashes instead of cleartext passwords in an application's database generally has become best practice to protect users' passwords in case of a database compromise, this is rendered ineffective when allowing to authenticate using the password hash.

Adobe Experience Manager versions 6.5.16.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If a low-privileged attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be executed within the context of the victim's browser.

phpFK version 8.0 suffers from a cross site scripting vulnerability.

snappy-java is a fast compressor/decompressor for Java. Due to use of an unchecked chunk length, an unrecoverable fatal error can occur in versions prior to 1.1.10.1. The code in the function hasNextChunk in the fileSnappyInputStream.java checks if a given stream has more chunks to read. It does that by attempting to read 4 bytes. If it wasn’t possible to read the 4 bytes, the function returns false. Otherwise, if 4 bytes were available, the code treats them as the length of the next chunk. In the case that the `compressed` variable is null, a byte array is allocated with the size given by the input data. Since the code doesn’t test the legality of the `chunkSize` variable, it is possible to pass a negative number (such as 0xFFFFFFFF which is -1), which will cause the code to raise a `java.lang.NegativeArraySizeException` exception. A worse case would happen when passing a huge positive value (such as 0x7FFFFFFF), which would raise the fatal `java.lang.OutOfMemoryError` error. Versi...

## Summary Due to use of an unchecked chunk length, an unrecoverable fatal error can occur. ## Impact Denial of Service ## Description The code in the function [hasNextChunk](https://github.com/xerial/snappy-java/blob/05c39b2ca9b5b7b39611529cc302d3d796329611/src/main/java/org/xerial/snappy/SnappyInputStream.java#L388) in the file [SnappyInputStream.java](https://github.com/xerial/snappy-java/blob/master/src/main/java/org/xerial/snappy/SnappyInputStream.java) checks if a given stream has more chunks to read. It does that by attempting to read 4 bytes. If it wasn’t possible to read the 4 bytes, the function returns false. Otherwise, if 4 bytes were available, the code treats them as the length of the next chunk. ```java int readBytes = readNext(header, 0, 4); if (readBytes < 4) { return false; } int chunkSize = SnappyOutputStream.readInt(header, 0); if (chunkSize == SnappyCodec.MAGIC_HEADER_HEAD) { ......... } ...

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,...