5482 matches found
CVE-2026-22687: Improper Neutralization of Special Elements used in an SQL Command
WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.5, after WeKnora enables the Agent service, it allows users to call the database query tool. Due to insufficient backend validation, an attacker can use prompt‑based bypass...
CVE-2008-7320
GNOME Seahorse through 3.30 allows physically proximate attackers to read plaintext passwords by using the quickAllow dialog at an unattended workstation, if the keyring is unlocked. NOTE: this is disputed by a software maintainer because the behavior represents a design decision...
CVE-2020-7602
node-prompt-here through 1.0.1 allows execution of arbitrary commands. The "runCommand" is called by "getDevices" function in file "linux/manager.js", which is required by the "index. process.env.NMCLI" in the file "linux/manager.js". This function is used to construct the argument of function...
PT-2026-2241
Name of the Vulnerable Software and Affected Versions WeKnora versions prior to 0.2.5 Description WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Insufficient backend validation allows attackers to bypass query restrictions and obtain sensitive...
Apple iOS和Apple iPadOS 安全漏洞
Apple iOS and Apple iPadOS are products of Apple Inc. Apple iOS is an operating system developed for mobile devices, and Apple iPadOS is an operating system for iPad tablets. A security vulnerability exists in Apple iOS version 26.2 and Apple iPadOS version 26.2, which stems from a logic issue th...
Siemens Ruggedcom ROX Incorrect Implementation of Authentication Algorithm (CVE-2023-4641)
A flaw was found in shadow-utils. When asking for a new password, shadow-utils asks the password twice. If the password fails on the second attempt, shadow-utils fails in cleaning the buffer used to store the first entry. This may allow an attacker with enough access to retrieve the password from...
Out-of-bounds Write
Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Out-of-bounds Write via the todense function in the Completions API endpoint when processing user-supplied prompt embeddings. An attacker can achiev...
vLLM introduced enhanced protection for CVE-2025-62164
Summary The fix here for CVE-2025-62164 is not sufficient. The fix only disables prompt embeds by default rather than addressing the root cause, so the DoS vulnerability remains when the feature is enabled. Details vLLM's pending change attempts to fix the root cause, which is the missing sparse...
GHSA-MCMC-2M55-J8JJ vLLM introduced enhanced protection for CVE-2025-62164
Summary The fix here for CVE-2025-62164 is not sufficient. The fix only disables prompt embeds by default rather than addressing the root cause, so the DoS vulnerability remains when the feature is enabled. Details vLLM's pending change attempts to fix the root cause, which is the missing sparse...
Jailbreaking LLMs and VLMs: Mechanisms, Evaluation, and Unified Defense
This paper provides a systematic survey of jailbreak attacks and defenses on Large Language Models LLMs and Vision-Language Models VLMs, emphasizing that jailbreak vulnerabilities stem from structural factors such as incomplete training data, linguistic ambiguity, and generative uncertainty. It...
OPENSUSE-SU-2025:20130-1 Security update for bash-git-prompt
This update for bash-git-prompt fixes the following issues: - CVE-2025-61659: Fixed an issue where predictable files in /tmp were used for a copy of the git index bsc1247489...
Toward Trustworthy Agentic AI: A Multimodal Framework for Preventing Prompt Injection Attacks
Powerful autonomous systems, which reason, plan, and converse using and between numerous tools and agents, are made possible by Large Language Models LLMs, Vision-Language Models VLMs, and new agentic AI systems, like LangChain and GraphChain. Nevertheless, this agentic environment increases the...
From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software
LLMs democratize software engineering by enabling non-programmers to create applications, but this same accessibility fundamentally undermines security assumptions that have guided software engineering for decades. We show in this work how publicly available LLMs can be socially engineered to...
Critical LangChain Core Vulnerability Exposes Secrets via Serialization Injection
A critical security flaw has been disclosed in LangChain Core that could be exploited by an attacker to steal sensitive secrets and even influence large language model LLM responses through prompt injection. LangChain Core i.e., langchain-core is a core Python package that's part of the LangChain...
Eurostar Accused Researchers of Blackmail for Reporting AI Chatbot Flaws
Researchers discovered critical flaws in Eurostar’s AI chatbot including prompt injection, HTML injection, guardrail bypass, and unverified chat IDs - Eurostar later accused them of blackmail...
From Agent2Agent Prompt Injection to Runtime Self-Defense: How Wallarm Redefines Agentic AI Security
Is an AI-to-AI attack scenario a science fiction possibility only for blockbusters like the Terminator series of movies? Well, maybe not! Researchers recently discovered that one AI agent can “inject malicious instructions into a conversation, hiding them among otherwise benign client requests an...
Moodle Prompt Injection Vulnerability (MSA-25-0053)
Moodle is prone to a prompt injection vulnerability. SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only CPE = "cpe:/a:moodle:moodle"; ifdescriptio...
CVE-2025-63665
An issue in GT Edge AI Community Edition Versions before v2.0.12 allows attackers to execute arbitrary code via injecting a crafted JSON payload into the Prompt window...
