Securing Large Language Models (LLMs) from Prompt Injection Attacks

Large Language Models LLMs are increasingly being deployed in real-world applications, but their flexibility exposes them to prompt injection attacks. These attacks leverage the model's instruction-following ability to make it perform malicious tasks. Recent work has proposed JATMO, a task-specif...

Security update for bash-git-prompt (moderate)

openSUSE security update: security update for bash-git-prompt ------------------------------------------------------------- Announcement ID: openSUSE-SU-2025-20130-1 Rating: moderate References: bsc1247489 Cross-References: CVE-2025-61659 Affected Products: openSUSE Leap 16.0...

Malicious code in chat-prompt-logger (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 f25a736985f5c0bb50156fdc7de61e976b16416f42c44a2682b5ce718401383b The package provides a logger of LLM prompts that at the same time looks for hidden instructions and executes them. --- Category: MALICIOUS - The campaign has...

MAL-2025-191699 Malicious code in chat-prompt-logger (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 f25a736985f5c0bb50156fdc7de61e976b16416f42c44a2682b5ce718401383b The package provides a logger of LLM prompts that at the same time looks for hidden instructions and executes them. --- Category: MALICIOUS - The campaign has...

OPENSUSE-SU-2025:15770-1 bash-git-prompt-2.7.1-4.1 on GA media

These are all security issues fixed in the bash-git-prompt-2.7.1-4.1 package on the GA media of openSUSE Tumbleweed...

EUVD-2025-199421

Malicious code in @voiceflow/default-prompt-wrappers npm...

EUVD-2025-199359

Malicious code in prompt-eng-server npm...

MAL-2025-191403 Malicious code in prompt-eng-server (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 50d13a939bff8534fbbcbd6ae07836fc1f121c90e239d09b6a76cd91e8e202c2 The package prompt-eng-server was found to contain malicious code. Source: google-open-source-security...

BrowseSafe: Understanding and Preventing Prompt Injection within AI Browser Agents

The integration of artificial intelligence AI agents into web browsers introduces security challenges that go beyond traditional web application threat models. Prior work has identified prompt injection as a new attack vector for web agents, yet the resulting impact within real-world environments...

EUVD-2025-199055

Malicious code in prompt-eng npm...

Malicious code in prompt-eng (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 35ffadd9d8117a0735b89706cf5f82bd6ea30cf8e51c826efa41364bab2c362f The package prompt-eng was found to contain malicious code. Source: ghsa-malware d083c02cac026e95833622ff25f63998d1bf9eab18133d01efb0db5907a605f5 Any...

MAL-2025-190988 Malicious code in prompt-eng (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 35ffadd9d8117a0735b89706cf5f82bd6ea30cf8e51c826efa41364bab2c362f The package prompt-eng was found to contain malicious code. Source: ghsa-malware d083c02cac026e95833622ff25f63998d1bf9eab18133d01efb0db5907a605f5 Any...

Malicious code in react-element-prompt-inspector (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 58c142c9370bed76cfd7eb230462162a911d50057bbbc351f019dae4a8208784 The package react-element-prompt-inspector was found to contain malicious code. Source: ghsa-malware...

EUVD-2025-198659

Malicious code in react-element-prompt-inspector npm...

Prompt Fencing: A Cryptographic Approach to Establishing Security Boundaries in Large Language Model Prompts

Large Language Models LLMs remain vulnerable to prompt injection attacks, representing the most significant security threat in production deployments. We present Prompt Fencing, a novel architectural approach that applies cryptographic authentication and data architecture principles to establish...

Defending Large Language Models against Jailbreak Exploits with Responsible AI Considerations

Large Language Models LLMs remain susceptible to jailbreak exploits that bypass safety filters and induce harmful or unethical behavior. This work presents a systematic taxonomy of existing jailbreak defenses across prompt-level, model-level, and training-time interventions, followed by three...

Building Browser Agents: Architecture, Security, and Practical Solutions

Browser agents enable autonomous web interaction but face critical reliability and security challenges in production. This paper presents findings from building and operating a production browser agent. The analysis examines where current approaches fail and what prevents safe autonomous operatio...

CVE-2025-65106

LangChain is a framework for building agents and LLM-powered applications. From versions 0.3.79 and prior and 1.0.0 to 1.0.6, a template injection vulnerability exists in LangChain's prompt template system that allows attackers to access Python object internals through template syntax. This...

Template Injection

Overview langchain-core is a Building applications with LLMs through composability Affected versions of this package are vulnerable to Template Injection in the prompt template system. An attacker can access internal Python object attributes by submitting specially crafted template strings to...

CVE-2025-65106 LangChain Vulnerable to Template Injection via Attribute Access in Prompt Templates

LangChain is a framework for building agents and LLM-powered applications. From versions 0.3.79 and prior and 1.0.0 to 1.0.6, a template injection vulnerability exists in LangChain's prompt template system that allows attackers to access Python object internals through template syntax. This...