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...

EUVD-2025-198659

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

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...

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...

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...

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

CVE-2025-65106 — LangChain template injection : LangChain versions 0.3.79 and earlier and 1.0.0 to 1.0.6 contain a template injection vulnerability in the prompt template system that allows access to Python object internals via template syntax, affecting ChatPromptTemplate and related classes whe...

EUVD-2025-198318

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...

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...

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...

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...

Beyond Jailbreak: Unveiling Risks in LLM Applications Arising from Blurred Capability Boundaries

LLM applications i.e., LLM apps leverage the powerful capabilities of LLMs to provide users with customized services, revolutionizing traditional application development. While the increasing prevalence of LLM-powered applications provides users with unprecedented convenience, it also brings fort...

CVE-2025-34330

AudioCodes Fax Server and Auto-Attendant IVR appliances versions up to and including 2.6.23 include a web administration component F2MAdmin that exposes an unauthenticated prompt upload endpoint at AudioCodesfiles/utils/IVR/diagram/ajaxPromptUploadFile.php. The script accepts an uploaded file and...

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...

GHSA-6QV9-48XG-FC7F LangChain Vulnerable to Template Injection via Attribute Access in Prompt Templates

Context A template injection vulnerability exists in LangChain's prompt template system that allows attackers to access Python object internals through template syntax. This vulnerability affects applications that accept untrusted template strings not just template variables in ChatPromptTemplate...

LangChain Vulnerable to Template Injection via Attribute Access in Prompt Templates

Context A template injection vulnerability exists in LangChain's prompt template system that allows attackers to access Python object internals through template syntax. This vulnerability affects applications that accept untrusted template strings not just template variables in ChatPromptTemplate...