CVE-2026-75735

creationtimestamp| type| source ---|---|--- 2026-09-12 04:59:24+00:00| seen| https://bsky.app/profile/experiencedigest.bsky.social/post/3mvcccchd6f2w...

Evaluating ML-Based Intrusion Detection Systems: The Illusion of Model Efficacy

Intrusion Detection has been revolutionized due to the integration of Machine Learning. Improved detection rates, reduced false alarms, and optimized algorithms contribute to the perception of improved systems with optimal accuracy and near-perfect performance, the illusion of model efficacy...

Agent against Agent: An Agentic System for Automatic Prompt Injection Red Teaming

Prompt injection poses significant security risks to LLM agents. Efficient and effective red-teaming is therefore critical, both for evaluating these risks and for collecting training data to improve defenses. Existing state-of-the-art prompt injection red-teaming methods primarily rely on...

CoGate: Confidence-Gated Co-Decoding for Secure Code Generation

Large language models are widely used for code generation, but they can also produce insecure programs due to patterns learned from their pretraining data. Decoding-time steering has become an important solution to this problem: a small expert model is combined with the target model at each step ...

GARAGE: Characterizing the Automation Boundary in LLM-Based Attack Graph Generation

While modern vehicle security depends on effective Cyber Threat Intelligence CTI synthesis, current automated tools struggle with unstructured data and automotive-specific architectural nuances. To bridge this gap, we introduce GARAGE, a RAG-powered framework that converts fragmented CTI into an...

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection

Online scams continue to cause substantial financial and personal harm. As a result, detection systems based on Large Language Models LLMs have been integrated into security products ranging from email gateways and browser extensions to fraud-monitoring dashboards. As this adoption accelerates, a...

Revisiting Data-Driven Dynamic Security Assessment with a Tabular Foundation Model

Data-driven pre-fault dynamic security assessment DSA rapidly evaluates the dynamic risk of credible contingencies on a power system using machine learning. Existing approaches face two limitations. First, they require a large labelled database for training, with a separate model trained, tuned,...

RAVEN: Agentic RAG for Automated Vulnerability Repair

Automated vulnerability repair has emerged as a promising direction to mitigate the growing number of software vulnerabilities. Recent advances in Large Language Models LLMs have further accelerated research in automated repair. However, existing frameworks remain largely restricted to...

CVE-2026-47176

Quest Bot is an opensource modern Discord Bot built for moderation, utilities and support. Prior to version 1.0.4, a user who can configure bot settings can enable logging and choose a logging channel they can read. The bot then logs deleted and edited message contents from every channel it can...

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks

Rule-based Intrusion Detection and Prevention Systems IDPS offer precise attack detection as well as mitigation, however their manually crafted, signature-driven rules limit adaptability to emerging and zero-day threats. Additionally, existing public datasets e.g., CICIDS2017, UNSW-NB15 focus on...

Beyond the Zero-Day: See Your Network Like an Attacker | Webinar with HD Moore

Assume the breach. Zero-days keep shipping, AI is writing exploits faster than anyone patches, and "patch everything in time" stopped working years ago. Stop betting the org on winning that race. You don't control which bug lands. You control what it can reach once it does. That is a question abo...

PT-2026-48838

A flaw was found in tar. A remote attacker could exploit this vulnerability by crafting a malicious archive, leading to hidden file injection with fully attacker-controlled content. This bypasses pre-extraction inspection mechanisms, potentially allowing an attacker to introduce malicious files...

CVE-2026-44794 Nautobot: REST API permits creation of GenericForeignKey references to objects that the user should not be able to reference

Nautobot is a Network Source of Truth and Network Automation Platform. Prior to 2.4.33 and 3.1.2, in the case of inter-object references via GenericForeignKey a pattern allowing an object to reference another object that may belong to one of several different "content types" or database tables,...

CVE-2026-44794 Nautobot: REST API permits creation of GenericForeignKey references to objects that the user should not be able to reference

Nautobot is a Network Source of Truth and Network Automation Platform. Prior to 2.4.33 and 3.1.2, in the case of inter-object references via GenericForeignKey a pattern allowing an object to reference another object that may belong to one of several different "content types" or database tables,...

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...

Two-Thirds of Nonhuman Accounts Are Unseen and Unmanaged, According to Orchid Security’s Identity Gap Report

New York, United States, 19th May 2026, CyberNewswire...

Shrinking the IAM Attack Surface through Identity Visibility and Intelligence Platforms (IVIP)

The Fragmented State of Modern Enterprise Identity Enterprise IAM is approaching a breaking point. As organizations scale, identity becomes increasingly fragmented across thousands of applications, decentralized teams, machine identities, and autonomous systems. The result is Identity Dark Matter...

BIT-DISCOURSE-2026-33291 Discourse user can create Zendesk tickets even when it does not have access to topic

Discourse is an open-source discussion platform. Prior to versions 2026.3.0, 2026.2.1, and 2026.1.2, moderators can create Zendesk tickets for topics they do not have access to view. This affects all forums that use the Zendesk plugin. Versions 2026.3.0, 2026.2.1, and 2026.1.2 contain a patch. No...

Understanding AI Methods for Intrusion Detection and Cryptographic Leakage

We investigate the role of artificial intelligence in cybersecurity by evaluating how machine learning techniques can detect malicious network activity and identify potential information leakage in cryptographic implementations. We conduct a series of experiments using the NSL-KDD and CIC-IDS...

OpenClaw security vulnerabilities

OpenClaw is an open-source intelligent artificial assistant developed by OpenClaw. Versions of OpenClaw prior to 2026.2.25 contained security vulnerabilities. These vulnerabilities stemmed from a bypass of approval integrity in the system.run module, which could lead to the execution of binary...