Cerberus FTP Server
Cerberus FTP Server provides a secure and reliable file transfer solution for the demanding IT professional in any industry. Supporting SFTP and SCP, FTP/S, and HTTP/S, Cerberus is able to authenticate against Active Directory and LDAP, run as a Windows service, has native x64 support, includes a robust set of integrity and security features and offers an easy-to-use manager for controlling user access to files and file operations.
- FTP/S, SCP, SFTP, HTTPS
- SAML SSO
- Active Directory & LDAP
- Secure SSL Encryption
- Two-Factor Authentication
- IP Auto-Banning and Geoblocking
- HIPAA Compliant
- FIPS 140-2 Validated
- Advanced Reporting
- Comprehensive Auditing
- Web File Transfer Client
- Email Notifications
- Event Support & Automation
- File Retention Policies
-Unlimited Connections
-Virtual Directories
-Users & Groups
-Detailed Logs
-Full IPv6 Support
-FTP with TLS/SSL
-SOAP control API
-Web Administration
-SSH2 SFTP and SCP
-Public Key Authentication
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Crowdin
Crowdin, a localization management software powered by AI, facilitates the localization of diverse content such as websites, mobile apps, games, desktop and web applications, help centers, blogs, and email campaigns. With a repertoire of over 600 add-ons and integrations, the platform streamlines the localization process and supports over 100 file formats. Crowdin uses cutting-edge technology to simplify translation and localization tasks, providing easy-to-use solutions for seamless implementation.
Crowdin supports more than 100 file formats, including but not limited to files for mobile, software, documents, subtitles, and graphic assets:
.xml, .strings, .json, .html, .xliff, .csv, .php, .resx, .yaml, .xml, .strings and on.
Continuous localization for all your content:
✓ Software
✓ Mobile Apps
✓ Websites
✓ Marketing content
✓ Help center
✓ Games
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Join thousands of people already making their products multilingual 🚀
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LibFuzzer
LibFuzzer is an in-process, coverage-guided, evolutionary fuzzing engine. LibFuzzer is linked with the library under test, and feeds fuzzed inputs to the library via a specific fuzzing entry point (or target function); the fuzzer then tracks which areas of the code are reached, and generates mutations on the corpus of input data in order to maximize the code coverage. The code coverage information for libFuzzer is provided by LLVM’s SanitizerCoverage instrumentation. LibFuzzer is still fully supported in that important bugs will get fixed. The first step in using libFuzzer on a library is to implement a fuzz target, a function that accepts an array of bytes and does something interesting with these bytes using the API under test. Note that this fuzz target does not depend on libFuzzer in any way so it is possible and even desirable to use it with other fuzzing engines like AFL and/or Radamsa.
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