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Cybersecurity researchers have disclosed details of three now-patched security flaws impacting LangGraph, including a critical vulnerability chain that could result in remote code execution

Early Tests of New Anthropic AI Model Show Fast Detection, Better Flaw CorrelationCrowdStrike's early testing of Anthropic's new Claude Mythos Preview AI model shows faster vulnerability detection and improved cross-system context, signaling a shift toward AI-driven security operations that compress discovery-to-response timelines and force new defensive frameworks.

The Cybersecurity and Infrastructure Security Agency (CISA) is warning that hackers are actively exploiting a critical vulnerability identified as CVE-2026-33017, which affects the Langflow framework for building AI agents. [...]

Security vulnerabilities were uncovered in the popular open-source artificial intelligence (AI) framework Chainlit that could allow attackers to steal sensitive data, which may allow for lateral movement within a susceptible organization

Update Chainlit to the latest version ASAP Two "easy-to-exploit" vulnerabilities in the popular open-source AI framework Chainlit put major enterprises' cloud environments at risk of leaking data or even full takeover, according to cyber-threat exposure startup Zafran.…

In December 2024, the popular Ultralytics AI library was compromised, installing malicious code that hijacked system resources for cryptocurrency mining. In August 2025, malicious Nx packages leaked 2,349 GitHub, cloud, and AI credentials. Throughout 2024, ChatGPT vulnerabilities allowed unauthorized extraction of user data from AI memory

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, and open-source PyTorch projects such as vLLM and SGLang

Bank Info Security 10 months, 1 week ago

Hackers Turn Red Team AI Tool Into Citrix Exploit Engine

HexStrike-AI Connects LLMs to Over 150 Existing Security ToolsA red-team framework released for penetration testing has become a weapon in the wild, repurposed by hackers to accelerate exploitation of newly disclosed Citrix vulnerabilities. Check Point Research observed chatter suggesting n-day attacks may unfold in minutes, shrinking defender response time.

A high-severity security flaw has been disclosed in Meta's Llama large language model (LLM) framework that, if successfully exploited, could allow an attacker to execute arbitrary code on the llama-stack inference server.  The vulnerability, tracked as CVE-2024-50050, has been assigned a CVSS score of 6.3 out of 10.0. Supply chain security firm Snyk, on the other hand, has assigned it a

Cybersecurity researchers have disclosed six security flaws in the Ollama artificial intelligence (AI) framework that could be exploited by a malicious actor to perform various actions, including denial-of-service, model poisoning, and model theft

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