CVE-2026-45376

CVE-2026-45376 affects Decidim admin user search. The vulnerability occurs when untrusted input from params[:term] is interpolated into raw SQL in ORDER BY clauses, allowing an authenticated organization administrator to cause time-based blind SQL injections via the sort expression. Affected path...

CVE-2026-45376 Decidim: Admin user search allows SQL injection through similarity-based sorting

Decidim is a participatory democracy framework. Prior to 0.30.9, from 0.31.0 before 0.31.5, and in 0.32.0.rc1 before 0.32.0.rc2, the GET /admin/organization/users search interpolates params:term into raw Arel.sql ORDER BY similarity expressions before sanitization, allowing an authenticated...

Decidim: Admin user search allows SQL injection through similarity-based sorting

The admin organization user search uses the untrusted term value inside raw SQL ORDER BY expressions. Because the value is interpolated before Rails sanitization is applied, a crafted search string is executed by PostgreSQL as part of the sort expression. Technical description The vulnerable...

GHSA-JVQQ-CVH4-XM37 Decidim: Admin user search allows SQL injection through similarity-based sorting

The admin organization user search uses the untrusted term value inside raw SQL ORDER BY expressions. Because the value is interpolated before Rails sanitization is applied, a crafted search string is executed by PostgreSQL as part of the sort expression. Technical description The vulnerable...

Decidim - Admin user search allows SQL injection through similarity-based sorting

Description The admin organization user search uses the untrusted term value inside raw SQL ORDER BY expressions. Because the value is interpolated before Rails sanitization is applied, a crafted search string is executed by PostgreSQL as part of the sort expression. Impact - Exploitation require...

MAL-2026-6779 Malicious code in @marketfront/fingerprint (npm)

The @marketfront/fingerprint package is part of a 25-package malicious campaign batch-published to the @marketfront npm scope by npm user 'marketfront' [email protected] within a roughly 3-minute window on 2026-07-01. All packages in the campaign were published at version 7.0.0 and use...

Bridging the Smart City Cybersecurity Data Gap through AI-Driven Synthetic Dataset Generation

Smart cities rely on interconnected cyber-physical systems that integrate sensors, IoT devices, cloud platforms, and AI-driven services and decision-making. While these systems enhance city services, they also introduce complex cybersecurity challenges due to their large attack surfaces,...

Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models

Software-Defined Networking SDN provides flexible and programmable network management; however, its centralized control architecture remains highly vulnerable to Distributed Denial-of-Service DDoS attacks, particularly Carpet-Bombing DDoS attacks that distribute malicious traffic across multiple...

SEED: Semi-Supervised Continual MalwarE Detection for Tackling ConcEpt Drift on a BuDget

Machine learning based malware detectors become obsolete over time due to concept drift in benign and malware applications. Recent methods rely on fully labeled data and use hierarchical contrastive loss HCL with active learning to improve robustness against drift by exploiting semantic structure...

Astra Linux – Vulnerability in Python-Django

A issue was discovered in Django 2.2 before 2.2.26, 3.2 before 3.2.11, and 4.0 before 4.0.1. The UserAttributeSimilarityValidator incurred significant overhead when evaluating a submitted password that was artificially large relative to the comparison values. In a situation where access to user...

Half-Moon Cookie: Private, Similarity-Based Blocklisting with TOCTOU-Attack Resilience

Blocklisting is a common technique for preventing the use of known malicious content. However, conventional blocklisting infrastructures require either the blocklist to be public or clients to reveal their queries to the blocklist server. In this work, we introduce a private blocklisting framewor...

Towards Automated Pentesting with Large Language Models

Large Language Models LLMs are redefining offensive cybersecurity by allowing the generation of harmful machine code with minimal human intervention. While attackers take advantage of dark LLMs such as XXXGPT and WolfGPT to produce malicious code, ethical hackers can follow similar approaches to...

Byte-Level Generative Predictions for Forensics Multimedia Carving

Digital forensic investigations often face significant challenges when recovering fragmented multimedia files that lack file system metadata. While traditional file carving relies on signatures and discriminative deep learning models for fragment classification, these methods cannot reconstruct o...

Multilingual AI-Driven Password Strength Estimation with Similarity-Based Detection

Considering the rise of cyberattacks incidents worldwide, the need to ensure stronger passwords is necessary. Developing a password strength meter PSM can help users create stronger passwords when creating an account on an online platform. This research aimed to explore whether incorporating a...

Predicting Known Vulnerabilities from Attack Descriptions Using Sentence Transformers

Modern infrastructures rely on software systems that remain vulnerable to cyberattacks. These attacks frequently exploit vulnerabilities documented in repositories such as MITRE's Common Vulnerabilities and Exposures CVE. However, Cyber Threat Intelligence resources, including MITRE ATT&CK and CV...

Predicting Known Vulnerabilities from Attack News: A Transformer-Based Approach

Identifying the vulnerabilities exploited during cyberattacks is essential for enabling timely responses and effective mitigation in software security. This paper directly examines the process of predicting software vulnerabilities, specifically Common Vulnerabilities and Exposures CVEs, from...

Age verification vendor Persona left frontend exposed, researchers say

Researchers investigating Discord’s age-verification checks say they discovered an exposed frontend belonging to Persona, the identity-verification vendor used by Discord. It revealed a far more expansive surveillance and financial intelligence stack than a simple “teen safety” tool. A short whil...

A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection

Cryptographic digests e.g., MD5, SHA-256 are designed to provide exact identity. Any single-bit change in the input produces a completely different hash, which is ideal for integrity verification but limits their usefulness in many real-world tasks like threat hunting, malware analysis and digita...

Turning threat reports into detection insights with AI

Security teams routinely need to transform unstructured threat knowledge, such as incident narratives, red team breach-path writeups, threat actor profiles, and public reports into concrete defensive action. The early stages of that work are often the slowest. These include extracting tactics,...

Turning threat reports into detection insights with AI

Security teams routinely need to transform unstructured threat knowledge, such as incident narratives, red team breach-path writeups, threat actor profiles, and public reports into concrete defensive action. The early stages of that work are often the slowest. These include extracting tactics,...