databricks-agents (>=0.1.0, <=1.0.0rc3), datamint (>=2.5.0, <=2.5.2) +2 more potentially affected by CVE-2025-52967 via mlflow (>=3.0.0rc2, <=3.1.0rc0)

mlflow PYPI version =3.0.0rc2, =0.1.0, =2.5.0, =0.6.7, =0.8.1 Source cves: CVE-2025-52967 Source advisory: GHSA-WXJ7-3FX5-PP9M...

databricks-agents (>=0.1.0, <=1.0.0rc3), datamint (>=2.5.0, <=2.5.2) +2 more potentially affected by CVE-2025-52967 via mlflow (>=3.0.0rc2, <=3.1.0rc0)

mlflow PYPI version =3.0.0rc2, =0.1.0, =2.5.0, =0.6.7, =0.8.1 Source cves: CVE-2025-52967 Source advisory: OSV:PYSEC-2025-52...

SEC-Bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks

Rigorous security-focused evaluation of large language model LLM agents is imperative for establishing trust in their safe deployment throughout the software development lifecycle. However, existing benchmarks largely rely on synthetic challenges or simplified vulnerability datasets that fail to...

Reversing the Paradigm: Building AI-First Systems with Human Guidance

The relationship between humans and artificial intelligence is no longer science fiction -- it's a growing reality reshaping how we live and work. AI has moved beyond research labs into everyday life, powering customer service chats, personalizing travel, aiding doctors in diagnosis, and supporti...

SoK: the Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation

Large language models LLMs are sophisticated artificial intelligence systems that enable machines to generate human-like text with remarkable precision. While LLMs offer significant technological progress, their development using vast amounts of user data scraped from the web and collected from...

AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions

The rapid advancement of vision-language models VLMs and their integration into embodied agents have unlocked powerful capabilities for decision-making. However, as these systems are increasingly deployed in real-world environments, they face mounting safety concerns, particularly when responding...

From LLMs to MLLMs to Agents: a Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem

Large language models LLMs are rapidly evolving from single-modal systems to multimodal LLMs and intelligent agents, significantly expanding their capabilities while introducing increasingly severe security risks. This paper presents a systematic survey of the growing complexity of jailbreak...

AgentSmith Flaw in LangSmith’s Prompt Hub Exposed User API Keys, Data

A CVSS 8.8 AgentSmith flaw in LangSmith's Prompt Hub exposed AI agents to data theft and LLM manipulation. Learn how malicious AI agents could steal API keys and hijack LLM responses. Fix deployed...

Context Manipulation Attacks : Web Agents Are Susceptible to Corrupted Memory

Autonomous web navigation agents, which translate natural language instructions into sequences of browser actions, are increasingly deployed for complex tasks across e-commerce, information retrieval, and content discovery. Due to the stateless nature of large language models LLMs, these agents...

LangSmith Bug Could Expose OpenAI Keys and User Data via Malicious Agents

Cybersecurity researchers have disclosed a now-patched security flaw in LangChain's LangSmith platform that could be exploited to capture sensitive data, including API keys and user prompts. The vulnerability, which carries a CVSS score of 8.8 out of a maximum of 10.0, has been codenamed AgentSmi...

CVE-2025-30640: Improper Link Resolution Before File Access

A link following vulnerability in Trend Micro Deep Security 20.0 agents could allow a local attacker to escalate privileges on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability...

CVE-2025-30642: Improper Link Resolution Before File Access

A link following vulnerability in Trend Micro Deep Security 20.0 agents could allow a local attacker to create a denial of service DoS situation on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploi...

Training RL Agents for Multi-Objective Network Defense Tasks

Open-ended learning OEL -- which emphasizes training agents that achieve broad capability over narrow competency -- is emerging as a paradigm to develop artificial intelligence AI agents to achieve robustness and generalization. However, despite promising results that demonstrate the benefits of...

AgentVigil: Generic Black-Box Red-Teaming for Indirect Prompt Injection against LLM Agents

The strong planning and reasoning capabilities of Large Language Models LLMs have fostered the development of agent-based systems capable of leveraging external tools and interacting with increasingly complex environments. However, these powerful features also introduce a critical security risk:...

AI Agents Run on Secret Accounts — Learn How to Secure Them in This Webinar

AI is changing everything — from how we code, to how we sell, to how we secure. But while most conversations focus on what AI can do, this one focuses on what AI can break — if you’re not paying attention. Behind every AI agent, chatbot, or automation script lies a growing number of non-human...

AI Agents Run on Secret Accounts — Learn How to Secure Them in This Webinar

AI is changing everything — from how we code, to how we sell, to how we secure. But while most conversations focus on what AI can do, this one focuses on what AI can break — if you're not paying attention. Behind every AI agent, chatbot, or automation script lies a growing number of non-human...

Non-Human Identities: How to Address the Expanding Security Risk

Human identities management and control is pretty well done with its set of dedicated tools, frameworks, and best practices. This is a very different world when it comes to Non-human identities also referred to as machine identities. GitGuardian’s end-to-end NHI security platform is here to close...

Malicious code in scrapy-user-agents (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware d8ff2592eed2257896f8765049b3073fd6bb14f2696691bb3ed2f8925b0ea1e6 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

Malware in scrapy-user-agents

Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outsid...

MAL-2025-4880 Malicious code in scrapy-user-agents (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware d8ff2592eed2257896f8765049b3073fd6bb14f2696691bb3ed2f8925b0ea1e6 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...