dspy 安全漏洞

dspy is a Stanford NLP open source artificial intelligence framework for programming. A security vulnerability exists in dspy that stems from an overly lax sandbox configuration that could allow an attacker to steal sensitive files...

Detecting Vulnerabilities from Issue Reports for Internet-Of-Things

Timely identification of issue reports reflecting software vulnerabilities is crucial, particularly for Internet-of-Things IoT where analysis is slower than non-IoT systems. While Machine Learning ML and Large Language Models LLMs detect vulnerability-indicating issues in non-IoT systems, their I...

TITAN: Graph-Executable Reasoning for Cyber Threat Intelligence

TITAN Threat Intelligence Through Automated Navigation is a framework that connects natural-language cyber threat queries with executable reasoning over a structured knowledge graph. It integrates a path planner model, which predicts logical relation chains from text, and a graph executor that...

Insecure Temporary File

Overview llama-index-core is an Interface between LLMs and your data Affected versions of this package are vulnerable to Insecure Temporary File due to setting the NLTK data directory to a shared, world-writable subdirectory. An attacker can overwrite, delete, or corrupt data files by exploiting...

EUVD-2025-34071

llama-index has Insecure Temporary File...

llama-index has Insecure Temporary File

The llamaindex library version 0.12.33 sets the NLTK data directory to a subdirectory of the codebase by default, which is world-writable in multi-user environments. This configuration allows local users to overwrite, delete, or corrupt NLTK data files, leading to potential denial of service, dat...

GHSA-RG9H-VX28-XXP5 llama-index has Insecure Temporary File

The llamaindex library version 0.12.33 sets the NLTK data directory to a subdirectory of the codebase by default, which is world-writable in multi-user environments. This configuration allows local users to overwrite, delete, or corrupt NLTK data files, leading to potential denial of service, dat...

CVE-2025-7707

The CVE-2025-7707 entry concerns llama_index 0.12.33, where NLTK data directory is set to a subdirectory of the codebase, creating a world-writable shared cache and enabling local data tampering, DoS, or privilege escalation. Connected disclosures confirm the issue and point to fixes/upgrades: re...

CVE-2025-7707 World-Writable NLTK Cache Directory Vulnerability in run-llama/llama_index

The llamaindex library version 0.12.33 sets the NLTK data directory to a subdirectory of the codebase by default, which is world-writable in multi-user environments. This configuration allows local users to overwrite, delete, or corrupt NLTK data files, leading to potential denial of service, dat...

EUVD-1999-0041

Malware in sbrugna...

EUVD-2025-25826

Malicious code in bioql PyPI...

EUVD-2025-25825

Malicious code in bioql PyPI...

Dual-Path Phishing Detection: Integrating Transformer-Based NLP with Structural URL Analysis

Phishing emails pose a persistent and increasingly sophisticated threat, undermining email security through deceptive tactics designed to exploit both semantic and structural vulnerabilities. Traditional detection methods, often based on isolated analysis of email content or embedded URLs, fail t...

CVE-2025-23313

NVIDIA NeMo Framework for all platforms contains a vulnerability in the NLP component, where malicious data created by an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and dat...

CVE-2025-23314

NVIDIA NeMo Framework for all platforms contains a vulnerability in the NLP component, where malicious data created by an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and dat...

CVE-2025-23314

NVIDIA NeMo Framework for all platforms contains a vulnerability in the NLP component, where malicious data created by an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and dat...

CVE-2025-23313

NVIDIA NeMo Framework for all platforms contains a vulnerability in the NLP component, where malicious data created by an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and dat...

CVE-2025-23313

NVIDIA NeMo Framework for all platforms contains a vulnerability in the NLP component, where malicious data created by an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and dat...

CVE-2025-23313

Summary (CVE-2025-23313) : NVIDIA NeMo Framework (NLP component) across platforms is described as vulnerable to code injection via malicious data. The underlying root cause is not detailed in the provided documents, but the consequence could include code execution, privilege escalation, informati...

NVIDIA Nemo Framework 代码注入漏洞

NVIDIA Nemo Framework is a framework for building and deploying generative AI models from NVIDIA. The NVIDIA Nemo Framework suffers from a code injection vulnerability that stems from malicious data in the NLP component that could lead to code injection, which in turn could lead to code execution...