Apache HTTP Server versions 2.4.0 to 2.4.46 A specially crafted Digest nonce can cause a stack overflow in mod_auth_digest. There is no report of this overflow being exploitable, nor the Apache HTTP Server team could create one, though some particular compiler and/or compilation option might make it possible, with limited consequences anyway due to the size (a single byte) and the value (zero byte) of the overflow
In Apache HTTP Server versions 2.4.20 to 2.4.43, a specially crafted value for the 'Cache-Digest' header in a HTTP/2 request would result in a crash when the server actually tries to HTTP/2 PUSH a resource afterwards. Configuring the HTTP/2 feature via "H2Push off" will mitigate this vulnerability for unpatched servers.
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When an unrecognized HTTP Method is given in an directive in an .htaccess file, and that .htaccess file is processed by the corresponding request, the global methods table is corrupted in the current worker process, resulting in erratic behaviour. This behavior may be avoided by listing all unusual HTTP Methods in a global httpd.conf RegisterHttpMethod directive in httpd release 2.4.25 and later. To permit other .htaccess directives while denying the directive, see the AllowOverrideList directive. Source code patch (2.4) is at; CVE-2017-9798-patch-2.4.patch Source code patch (2.2) is at; CVE-2017-9798-patch-2.2.patch Note 2.2 is end-of-life, no further release with this fix is planned. Users are encouraged to migrate to 2.4.28 or later for this and other fixes.
HTTP_PROXY is a well-defined environment variable in a CGI process, which collided with a number of libraries which failed to avoid colliding with this CGI namespace. A mitigation is provided for the httpd CGI environment to avoid populating the "HTTP_PROXY" variable from a "Proxy:" header, which has never been registered by IANA. This workaround and patch are documented in the ASF Advisory at asf-httpoxy-response.txt and incorporated in the 2.4.25 and 2.2.32 releases. Note: This is not assigned an httpd severity, as it is a defect in other software which overloaded well-established CGI environment variables, and does not reflect an error in HTTP server software.
We hope that you're enjoying the new Hugel content that we released last maintenance.As promised, there is more content to Hugel that will be delivered later - and today is that day!With this patch we are releasing the second and last phase of the Hugel...
The Security Command Center project-level activation feature is generally available. The feature lets you enable Security Command Center for individual Google Cloud projects yourself in the Cloud console. Billing for project-level activations of Security Command Center is based on resource consumption in the project and uses a pay-as-you-go billing model.
Removed ability to create stateful outbound firewall rules for new projects and projects that have not yet created stateful outbound rules. Customers can continue to create a firewall rule set in NSX-T Gateway or NSX-T Distributed Firewall rules to limit or control outbound access.
Sparse input support in BigQuery ML model training is now generally available (GA). This feature improves model training for data whose values are mostly zero or empty. For additional examples, see the sparse features support in BigQuery blog.
Starting with version 2.9, TensorFlow Enterprise releases are supported for one year. It is recommended that you update regularly to keep your projects within a supported TensorFlow Enterprise version. Previous TensorFlow Enterprise releases that included Long Term Version Support (three years) are still supported for the three-year time period.
gRPC Java releases 1.51.0, 1.51.1, and 1.52.0 have an important bug that can cause them to stop receiving updates from Traffic Director. We encourage users of gRPC Java to avoid these releases and use the older v1.50.x until patch releases with fixes are available. See the public gRPC announcement for more information.
without changing pom.xml files or build.gradle, simply with git commit, git tag & git branch commands, your project descriptors versions are automatically computed when you launch a build command like mvn package or gradle build
Once you have created the extensions file, your project versioning is now handled by jgitver.Just launch mvn validate to see jgitver in action on your project ; now you can see it computing your project version.
Note that for your project jgitver may detect that the version is "0.0.0-SNAPSHOT" because it cannot find any suitable git tags in the repo to determine the correct version. You will need to add tags to your git repo to fully enable jgitver versioning. See the demo below for an example.
In a multi-project build, jgitver can be enabled and globally for all projects.Assuming that the root project and all sub-projects are in the same repository, this will keep their versions perfectly in sync.
To workaround Intellij failure, you have to deactivate jgitver for the import step.For maven projects for example, open the settings CTRL+ALT+S and modify imports settings by adding -Djgitver.skip=trueas in the below image.
If you want to open several projects within your IDE and make project references betweenthose projects then having projects which version is dynamically changing is not the best way to helpyour IDE keeping the references between the projects.
A zero-day (0day) exploit is a cyber attack targeting a software vulnerability which is unknown to the software vendor or to antivirus vendors. The attacker spots the software vulnerability before any parties interested in mitigating it, quickly creates an exploit, and uses it for an attack. Such attacks are highly likely to succeed because defenses are not in place. This makes zero-day attacks a severe security threat.
By definition, no patches or antivirus signatures exist yet for zero-day exploits, making them difficult to detect. However, there are several ways to detect previously unknown software vulnerabilities.
Vulnerability scanning can detect some zero-day exploits. Security vendors who offer vulnerability scanning solutions can simulate attacks on software code, conduct code reviews, and attempt to find new vulnerabilities that may have been introduced after a software update.
Another strategy is to deploy software patches as soon as possible for newly discovered software vulnerabilities. While this cannot prevent zero-day attacks, quickly applying patches and software upgrades can significantly reduce the risk of an attack.
However, there are three factors that can delay the deployment of security patches. Software vendors take time to discover vulnerabilities, develop a patch and distribute it to users. It can also take time for the patch to be applied on organizational systems. The longer this process takes, the higher the risk of a zero-day attack.
One of the most effective ways to prevent zero-day attacks is deploying a web application firewall (WAF) on the network edge. A WAF reviews all incoming traffic and filters out malicious inputs that might target security vulnerabilities.
Additionally, the most recent advancement in the fight against zero-day attacks is runtime application self-protection (RASP). RASP agents sit inside applications, examining request payloads with the context of the application code at runtime, to determine whether a request is normal or malicious- enabling applications to defend themselves.
Vulnerability scanning and patch management are partial solutions to zero-day attacks. And they create a large window of vulnerability, due to the time it takes to develop and apply patches and code fixes.
Imperva RASP is the latest innovation in the fight against zero-day attacks. Using patented grammar-based techniques that leverage LangSec, RASP allows applications to defend themselves without signatures or patches- providing security by default and sparing you the operational costs of off-cycle 0-day patching.
Imperva cloud-based WAF leverages crowdsourced security to protect against zero-day attacks, aggregating attack data to react to threats instantly. As soon as a new threat is identified anywhere on the Incapsula network, a mitigation path is quickly deployed to safeguard the entire user base.
22 July 2022: The Apache OpenOffice project announces the official release of version 4.1.13. In the Release Notes you can read about all new bugfixes, improvements and languages. Don't miss to download the new release and find out yourself.
4 May 2022: The Apache OpenOffice project announces the official release of version 4.1.12. In the Release Notes you can read about all new bugfixes, improvements and languages. Don't miss to download the new release and find out yourself.
6 October 2021: The Apache OpenOffice project announces the official release of version 4.1.11. In the Release Notes you can read about all new bugfixes, improvements and languages. Don't miss to download the new release and find out yourself.
4 May 2021: The Apache OpenOffice project announces the official release of version 4.1.10. In the Release Notes you can read about all new bugfixes, improvements and languages. Don't miss to download the new release and find out yourself.
7 February 2021: The Apache OpenOffice project announces the official release of version 4.1.9. In the Release Notes you can read about all new bugfixes, improvements and languages. Don't miss to download the new release and find out yourself.
10 November 2020: The Apache OpenOffice project announces the official release of version 4.1.8. In the Release Notes you can read about all new bugfixes, improvements and languages. Don't miss to download the new release and find out yourself.
21 September 2019: The Apache OpenOffice project announces the official release of version 4.1.7. In the Release Notes you can read about all new bugfixes, improvements and languages. Don't miss to download the new release and find out yourself.
18 November 2018: The Apache OpenOffice project announces the official release of version 4.1.6. In the Release Notes you can read about all new bugfixes, improvements and languages. Don't miss to download the new release and find out yourself. 2ff7e9595c
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