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If you're running any PHP based website on NGINX server and have PHP-FPM feature enabled for better performance, then beware of a newly disclosed vulnerability that could allow unauthorized attackers to hack your website server remotely. The vulnerability, tracked as CVE-2019-11043 , affects websites with certain configurations of PHP-FPM that is reportedly not uncommon in the wild and could be exploited easily as a proof-of-concept (PoC) exploit for the flaw has already been released publicly. PHP-FPM is an alternative PHP FastCGI implementation that offers advanced and highly-efficient processing for scripts written in PHP programming language. The main vulnerability is an "env_path_info" underflow memory corruption issue in the PHP-FPM module, and chaining it together with other issues could allow attackers to remotely execute arbitrary code on vulnerable web servers. The vulnerability was spotted by Andrew Danau, a security researcher at Wallarm while hun...

Sensitive files linked to the United States intelligence agency were reportedly left on a public Amazon server by one of the nation's top intelligence contractor without a password, according to a new report. UpGuard cyber risk analyst Chris Vickery discovered  a cache of 60,000 documents from a US military project for the National Geospatial-Intelligence Agency (NGA) left unsecured on Amazon cloud storage server for anyone to access. The documents included passwords to a US government system containing sensitive information, and the security credentials of a senior employee of Booz Allen Hamilton, one of the country's top defense contractors. Although there wasn't any top secret file in the cache Vickery discovered, the documents included credentials to log into code repositories that could contain classified files and other credentials. Master Credentials to a Highly-Protected Pentagon System were Exposed Roughly 28GB of exposed documents included the privat...

As SaaS providers race to integrate AI into their product offerings to stay competitive and relevant, a new challenge has emerged in the world of AI: shadow AI.  Shadow AI refers to the unauthorized use of AI tools and copilots at organizations. For example, a developer using ChatGPT to assist with writing code, a salesperson downloading an AI-powered meeting transcription tool, or a customer support person using Agentic AI to automate tasks – without going through the proper channels. When these tools are used without IT or the Security team's knowledge, they often lack sufficient security controls, putting company data at risk. Shadow AI Detection Challenges Because shadow AI tools often embed themselves in approved business applications via AI assistants, copilots, and agents they are even more tricky to discover than traditional shadow IT. While traditional shadow apps can be identified through network monitoring methodologies that scan for unauthorized connections based on...