AXE: An Agentic EXploit Engine for Confirming Zero-Day Vulnerability Reports

Vulnerability detection tools are widely adopted in software projects, yet they often overwhelm maintainers with false positives and non-actionable reports. Automated exploitation systems can help validate these reports; however, existing approaches typically operate in isolation from detection...

CVE-2026-21350 After Effects | NULL Pointer Dereference (CWE-476)

After Effects versions 25.6 and earlier are affected by a NULL Pointer Dereference vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to crash the application, causing disruption to services. Exploitation of this issue requires user...

urllib3: urllib3 Streaming API improperly handles highly compressed data

A decompression handling flaw has been discovered in urllib3. When streaming a compressed response, urllib3 can perform decoding or decompression based on the HTTP Content-Encoding header e.g., gzip, deflate, br, or zstd. The library must read compressed data from the network and decompress it...

CVE-2025-55065

CWE-89 Improper Neutralization of Special Elements used in an SQL Command 'SQL Injection'...

An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent Systems

The rapid advancement of Large Language Models LLMs presents new opportunities for automated software vulnerability detection, a crucial task in securing modern codebases. This paper presents a comparative study on the effectiveness of LLM-based techniques for detecting software vulnerabilities...

On the Effectiveness of Instruction-Tuning Local LLMs for Identifying Software Vulnerabilities

Large Language Models LLMs show significant promise in automating software vulnerability analysis, a critical task given the impact of security failure of modern software systems. However, current approaches in using LLMs to automate vulnerability analysis mostly rely on using online API-based LL...

CVE-2025-55058

CWE-20 Improper Input Validation...

EUVD-2025-197848

CWE-20 Improper Input Validation...

EUVD-2025-197852

CWE-78 Improper Neutralization of Special Elements used in an OS Command 'OS Command Injection'...

Security Bulletin: IBM QRadar SIEM is affected by improper storage of credentials in configuration files

Summary IBM QRadar SIEM is affected by improper storage of credentials in configuration files in source control. IBM has addressed the issue in the latest update. Vulnerability Details CVEID:CVE-2025-33119 DESCRIPTION: IBM QRadar SIEM stores user credentials in configuration files in source contr...

Is Your Prompt Poisoning Code? Defect Induction Rates and Security Mitigation Strategies

Large language models LLMs have become indispensable for automated code generation, yet the quality and security of their outputs remain a critical concern. Existing studies predominantly concentrate on adversarial attacks or inherent flaws within the models. However, a more prevalent yet...

JLSEC-2025-101 FFMPEG version 4.1 contains a CWE-129: Improper Validation of Array Index vulnerability in...

FFMPEG version 4.1 contains a CWE-129: Improper Validation of Array Index vulnerability in libavcodec/cbsav1.c that can result in Denial of service. This attack appears to be exploitable via specially crafted AV1 file has to be provided as input. This vulnerability appears to have been fixed in...

OESA-2025-2402 libtiff security update

This provides support for the Tag Image File Format TIFF, a widely used format for storing image data. The latest version of the TIFF specification is available on-line in several different formats.And contains command-line programs for manipulating TIFF format image files using the libtiff...

An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software

Cooperative, Connected and Automated Mobility CCAM are complex cyber-physical systems CPS that integrate computation, communication, and control in safety-critical environments. At their core, System-on-Chip SoC platforms consolidate processing units, communication interfaces, AI accelerators, an...

EUVD-2025-26519

Malicious code in bioql PyPI...

EUVD-2025-27423

Malicious code in bioql PyPI...

EUVD-2025-27426

Malicious code in bioql PyPI...

EUVD-2025-27428

Malicious code in bioql PyPI...

EUVD-2025-27432

Malicious code in bioql PyPI...

A Systematic Evaluation of Parameter-Efficient Fine-Tuning Methods for the Security of Code LLMs

Code-generating Large Language Models LLMs significantly accelerate software development. However, their frequent generation of insecure code presents serious risks. We present a comprehensive evaluation of seven parameter-efficient fine-tuning PEFT techniques, demonstrating substantial gains in...