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GitLab on Wednesday released security updates to address 17 security vulnerabilities, including a critical flaw that allows an attacker to run pipeline jobs as an arbitrary user. The issue, tracked as CVE-2024-6678, carries a CVSS score of 9.9 out of a maximum of 10.0 "An issue was discovered in GitLab CE/EE affecting all versions starting from 8.14 prior to 17.1.7, starting from 17.2 prior to 17.2.5, and starting from 17.3 prior to 17.3.2, which allows an attacker to trigger a pipeline as an arbitrary user under certain circumstances," the company said in an alert. The vulnerability, along with three high-severity, 11 medium-severity, and two low-severity bugs, have been addressed in versions 17.3.2, 17.2.5, 17.1.7 for GitLab Community Edition (CE) and Enterprise Edition (EE). It's worth noting that CVE-2024-6678 is the fourth such flaw that GitLab has patched over the past year after CVE-2023-5009 (CVSS score: 9.6), CVE-2024-5655 (CVSS score: 9.6), and CVE-2024...

Unknown threat actors have been found propagating trojanized versions of jQuery on npm, GitHub, and jsDelivr in what appears to be an instance of a "complex and persistent" supply chain attack. "This attack stands out due to the high variability across packages," Phylum said in an analysis published last week. "The attacker has cleverly hidden the malware in the seldom-used ' end ' function of jQuery, which is internally called by the more popular ' fadeTo ' function from its animation utilities." As many as 68 packages have been linked to the campaign. They were published to the npm registry starting from May 26 to June 23, 2024, using names such as cdnjquery, footersicons, jquertyi, jqueryxxx, logoo, and sytlesheets, among others.  There is evidence to suggest that each of the bogus packages were manually assembled and published due to the sheer number of packages published from various accounts, the differences in naming conventi...

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...