WebP | Breaking Cybersecurity News | The Hacker News

Google has assigned a new CVE identifier for a critical security flaw in the libwebp image library for rendering images in the  WebP format  that has come under active exploitation in the wild. Tracked as  CVE-2023-5129 , the issue has been given the maximum severity score of 10.0 on the CVSS rating system. It has been described as an issue rooted in the  Huffman coding algorithm  - With a specially crafted WebP lossless file, libwebp may write data out of bounds to the heap. The ReadHuffmanCodes() function allocates the HuffmanCode buffer with a size that comes from an array of precomputed sizes: kTableSize. The color_cache_bits value defines which size to use. The kTableSize array only takes into account sizes for 8-bit first-level table lookups but not second-level table lookups. libwebp allows codes that are up to 15-bit (MAX_ALLOWED_CODE_LENGTH). When BuildHuffmanTable() attempts to fill the second-level tables it may write data out-of-bounds. The OOB wr...

Apple has released yet another round of security patches to address three actively exploited zero-day flaws impacting iOS, iPadOS, macOS, watchOS, and Safari, taking the total tally of zero-day bugs discovered in its software this year to 16. The list of security vulnerabilities is as follows - CVE-2023-41991  - A certificate validation issue in the Security framework that could allow a malicious app to bypass signature validation. CVE-2023-41992  - A security flaw in Kernel that could allow a local attacker to elevate their privileges. CVE-2023-41993  - A WebKit flaw that could result in arbitrary code execution when processing specially crafted web content. Apple did not provide additional specifics barring an acknowledgement that the "issue may have been actively exploited against versions of iOS before iOS 16.7." The updates are available for the following devices and operating systems - iOS 16.7 and iPadOS 16.7  - iPhone 8 and later, iPad Pro (all mo...

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...