CVE-2026-55977

Successful exploitation of this vulnerability could allow an attacker with local network access to bypass the application's rate-limiting mechanism, enabling brute-forcing of the screen-sharing code and potentially displaying harmful content on the affected screen...

CVE-2026-55977

Technical details about CVE-2026-55977 are not publicly available in the provided documents; monitor for updates from NVD and CVE sources.

EUVD-2026-49714

Successful exploitation of this vulnerability could allow an attacker with local network access to bypass the application's rate-limiting mechanism, enabling brute-forcing of the screen-sharing code and potentially displaying harmful content on the affected screen...

CVE-2026-55977 Bypass of application rate-limiting mechanism

Successful exploitation of this vulnerability could allow an attacker with local network access to bypass the application's rate-limiting mechanism, enabling brute-forcing of the screen-sharing code and potentially displaying harmful content on the affected screen...

DEBIAN-CVE-2026-43676

An out-of-bounds access issue was addressed with improved bounds checking. This issue is fixed in Safari 26.5.2, iOS 26.5.2 and iPadOS 26.5.2, macOS Tahoe 26.5.2, visionOS 26.6, watchOS 26.6. Processing maliciously crafted web content may lead to an unexpected Safari crash...

CVE-2025-55271

HCL Aftermarket DPC is affected by HTTP Response Splitting vulnerability where in depending on how the web application handles the split response, an attacker may be able to execute arbitrary commands or inject harmful content into the response...

Safe2Harm: Semantic Isomorphism Attacks for Jailbreaking Large Language Models

Large Language Models LLMs have demonstrated exceptional performance across various tasks, but their security vulnerabilities can be exploited by attackers to generate harmful content, causing adverse impacts across various societal domains. Most existing jailbreak methods revolve around Prompt...

VisualDAN: Exposing Vulnerabilities in VLMs with Visual-Driven DAN Commands

Vision-Language Models VLMs have garnered significant attention for their remarkable ability to interpret and generate multimodal content. However, securing these models against jailbreak attacks continues to be a substantial challenge. Unlike text-only models, VLMs integrate additional modalitie...

EUVD-2021-0862

Malware in sbrugna...

LLM Detected

The scanner detected the presence of a Large Language Model LLM on the target application. LLMs are advanced AI models capable of understanding and generating human-like text based on the input they receive. They are commonly used in various applications, including chatbots, virtual assistants,...

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes

The advancement of AI technologies, particularly Large Language Models LLMs, has transformed computing while introducing new security and privacy risks. Prior research shows that cybercriminals are increasingly leveraging uncensored LLMs ULLMs as backends for malicious services. Understanding the...

AI 'Nudify' Websites Are Raking in Millions of Dollars

Millions of people are accessing harmful AI “nudify” websites. New analysis says the sites are making millions and rely on tech from US companies...

SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs Via Stable Safety-Critical Expert Identification

Large language models based on Mixture-of-Experts have achieved substantial gains in efficiency and scalability, yet their architectural uniqueness introduces underexplored safety alignment challenges. Existing safety alignment strategies, predominantly designed for dense models, are ill-suited t...

Hello, Won'T You Tell Me Your Name?: Investigating Anonymity Abuse in IPFS

The InterPlanetary File SystemIPFS offers a decentralized approach to file storage and sharing, promising resilience and efficiency while also realizing the Web3 paradigm. Simultaneously, the offered anonymity raises significant questions about potential misuse. In this study, we explore methods...

Phare: a Safety Probe for Large Language Models

Ensuring the safety of large language models LLMs is critical for responsible deployment, yet existing evaluations often prioritize performance over identifying failure modes. We introduce Phare, a multilingual diagnostic framework to probe and evaluate LLM behavior across three critical...

CVE-2021-29460

Kirby is an open source CMS. An editor with write access to the Kirby Panel can upload an SVG file that contains harmful content like...

Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-Based Multi-Agent Debate

Multi-Agent Debate MAD, leveraging collaborative interactions among Large Language Models LLMs, aim to enhance reasoning capabilities in complex tasks. However, the security implications of their iterative dialogues and role-playing characteristics, particularly susceptibility to jailbreak attack...

New Jersey Sues Discord for Allegedly Failing to Protect Children

The New Jersey attorney general claims Discord’s features to keep children under 13 safe from sexual predators and harmful content are inadequate...

Microsoft Takes Legal Action Against AI “Hacking as a Service” Scheme

Not sure this will matter in the end, but it's a positive move: Microsoft is accusing three individuals of running a "hacking-as-a-service" scheme that was designed to allow the creation of harmful and illicit content using the company's platform for AI-generated content. The foreign-based...

Microsoft Sues Hacking Group Exploiting Azure AI for Harmful Content Creation

Microsoft has revealed that it's pursuing legal action against a "foreign-based threat–actor group" for operating a hacking-as-a-service infrastructure to intentionally get around the safety controls of its generative artificial intelligence AI services and produce offensive and harmful content...