CVE-2025-9438: Improper Neutralization of Input During Web Page Generation

A security flaw has been discovered in 1000projects Online Project Report Submission and Evaluation System 1.0. Affected is an unknown function of the file /admin/addstudent.php. The manipulation of the argument address results in cross site scripting. The attack can be executed remotely. The...

1000 Projects Online Project Report Submission and Evaluation System Security Vulnerability

1000 Projects Online Project Report Submission and Evaluation System is a 1000 Projects open source online project report submission and evaluation system . 1000 Projects Online Project Report Submission and Evaluation System version 1.0 has a security vulnerability , the vulnerability stems from...

CVE-2025-9434: Improper Neutralization of Input During Web Page Generation

A vulnerability was determined in 1000projects Online Project Report Submission and Evaluation System 1.0. This affects an unknown function of the file /admin/edittitle.php?id=1. Executing manipulation of the argument desc can lead to cross site scripting. The attack may be launched remotely. The...

A.S.E: a Repository-Level Benchmark for Evaluating Security in AI-Generated Code

The increasing adoption of large language models LLMs in software engineering necessitates rigorous security evaluation of their generated code. However, existing benchmarks are inadequate, as they focus on isolated code snippets, employ unstable evaluation methods that lack reproducibility, and...

Cyber Security Educational Games for Children: a Systematic Literature Review

Educational games have been widely used to teach children about cyber security. This systematic literature review reveals evidence of positive learning outcomes, after analysing 91 such games reported in 68 papers published between 2010 and 2024. However, critical gaps have also been identified...

CVE-2011-10026

Spreecommerce versions prior to 0.50.x contain a remote command execution vulnerability in the API's search functionality. Improper input sanitation allows attackers to inject arbitrary shell commands via the searchinstanceeval parameter, which is dynamically invoked using Ruby’s send method. Thi...

LLM-GUARD: Large Language Model-Based Detection and Repair of Bugs and Security Vulnerabilities in C++ and Python

Large Language Models LLMs such as ChatGPT-4, Claude 3, and LLaMA 4 are increasingly embedded in software/application development, supporting tasks from code generation to debugging. Yet, their real-world effectiveness in detecting diverse software bugs, particularly complex, security-relevant...

GHSA-9GJJ-6GJ7-C4WJ Denial-of-Service attack in pyLoad CNL Blueprint using dukpy.evaljs

Dear Maintainers, I am writing to you on behalf of the Tencent AI Sec. We have identified a potential vulnerability in one of your products and would like to report it to you for further investigation and mitigation. Summary The jk parameter is received in pyLoad CNL Blueprint. Due to the lack of...

CVE-2025-57751 Denial-of-Service attack in pyLoad CNL Blueprint using dukpy.evaljs

pyLoad is the free and open-source Download Manager written in pure Python. The jk parameter is received in pyLoad CNL Blueprint. Due to the lack of jk parameter verification, the jk parameter input by the user is directly determined as dykpy.evaljs, resulting in the server CPU being fully occupi...

Deserialization of Untrusted Data

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the convertparamvalue function in the Qwen3CoderToolParser class, which uses eval function to parse tool call...

Akamai Beats Other WAAP Vendors in Third-Party Evaluation

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PT-2025-34107 · Undefined · Undefined

Spreecommerce versions prior to 0.50.x contain a remote command execution vulnerability in the API's search functionality. Improper input sanitation allows attackers to inject arbitrary shell commands via the searchinstance eval parameter, which is dynamically invoked using Ruby’s send method. Th...

Aura-CAPTCHA: a Reinforcement Learning and GAN-Enhanced Multi-Modal CAPTCHA System

Aura-CAPTCHA was developed as a multi-modal CAPTCHA system to address vulnerabilities in traditional methods that are increasingly bypassed by AI technologies, such as Optical Character Recognition OCR and adversarial image processing. The design integrated Generative Adversarial Networks GANs fo...

When Machine Learning Meets Vulnerability Discovery: Challenges and Lessons Learned

In recent years, machine learning has demonstrated impressive results in various fields, including software vulnerability detection. Nonetheless, using machine learning to identify software vulnerabilities presents new challenges, especially regarding the scale of data involved, which was not a...

Red Teaming Methodology for Design Obfuscation

The main goal of design obfuscation schemes is to protect sensitive design details from untrusted parties in the VLSI supply chain, including but not limited to off-shore foundries and untrusted end users. In this work, we provide a systematic red teaming approach to evaluate the security of desi...

CVE-2025-55585

TOTOLINK A3002R v4.0.0-B20230531.1404 was discovered to contain an eval injection vulnerability via the eval function...

Linux Distros Unpatched Vulnerability : CVE-2023-50447

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Pillow through 10.1.0 allows PIL.ImageMath.eval Arbitrary Code Execution via the environment parameter, a different vulnerability than CVE-2022-22817 which was...

Linux Distros Unpatched Vulnerability : CVE-2022-22817

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - PIL.ImageMath.eval in Pillow before 9.0.0 allows evaluation of arbitrary expressions, such as ones that use the Python exec method. A lambda expression could al...

Adversarial Attacks on VQA-NLE: Exposing and Alleviating Inconsistencies in Visual Question Answering Explanations

Natural language explanations in visual question answering VQA-NLE aim to make black-box models more transparent by elucidating their decision-making processes. However, we find that existing VQA-NLE systems can produce inconsistent explanations and reach conclusions without genuinely understandi...

Mitigating Jailbreaks with Intent-Aware LLMs

Despite extensive safety-tuning, large language models LLMs remain vulnerable to jailbreak attacks via adversarially crafted instructions, reflecting a persistent trade-off between safety and task performance. In this work, we propose Intent-FT, a simple and lightweight fine-tuning approach that...