Recursive Language Models for Jailbreak Detection: A Procedural Defense for Tool-Augmented Agents

Jailbreak prompts are a practical and evolving threat to large language models LLMs, particularly in agentic systems that execute tools over untrusted content. Many attacks exploit long-context hiding, semantic camouflage, and lightweight obfuscations that can evade single-pass guardrails. We...

Backdoor Attacks on Contrastive Continual Learning for IoT Systems

The Internet of Things IoT systems increasingly depend on continual learning to adapt to non-stationary environments. These environments can include factors such as sensor drift, changing user behavior, device aging, and adversarial dynamics. Contrastive continual learning CCL combines contrastiv...

Exploit for CVE-2026-25747

LevelDB Deserialization Vulnerability Reproducer This project...

GHSA-GVG8-93H5-G6QQ Django has an SQL Injection issue

An issue was discovered in 6.0 before 6.0.2, 5.2 before 5.2.11, and 4.2 before 4.2.28. FilteredRelation is subject to SQL injection in column aliases via control characters, using a suitably crafted dictionary, with dictionary expansion, as the kwargs passed to QuerySet methods annotate, aggregat...

PT-2026-25937

Name of the Vulnerable Software and Affected Versions MongoDB affected versions not specified Description A specially crafted aggregation query utilizing the $lookup operator, submitted by an authenticated user possessing write privileges, can lead to a double-free or use-after-free memory issue...

Jailbreaking LLMs Via Calibration

Safety alignment in Large Language Models LLMs often creates a systematic discrepancy between a model's aligned output and the underlying pre-aligned data distribution. We propose a framework in which the effect of safety alignment on next-token prediction is modeled as a systematic distortion of...

CAFE-GB: Scalable and Stable Feature Selection for Malware Detection Via Chunk-Wise Aggregated Gradient Boosting

High-dimensional malware datasets often exhibit feature redundancy, instability, and scalability limitations, which hinder the effectiveness and interpretability of machine learning-based malware detection systems. Although feature selection is commonly employed to mitigate these issues, many...

Linux Kernel Security Vulnerabilities

The Linux kernel is the core of the open-source operating system Linux, developed by the Linux Foundation in the United States. There is a security vulnerability in the Linux kernel, which can trigger a null pointer derefrence exception when disabling inactive aggregation in qfqreset, potentially...

CVE-2026-21910

An Improper Check for Unusual or Exceptional Conditions vulnerability in the packet forwarding engine PFE of Juniper Networks Junos OS on EX4k Series and QFX5k Series platforms allows an unauthenticated network-adjacent attacker flapping an interface to cause traffic between VXLAN Network...

CVE-2026-21910

An Improper Check for Unusual or Exceptional Conditions vulnerability in the packet forwarding engine PFE of Juniper Networks Junos OS on EX4k Series and QFX5k Series platforms allows an unauthenticated network-adjacent attacker flapping an interface to cause traffic between VXLAN Network...

EUVD-2026-2694

An Improper Check for Unusual or Exceptional Conditions vulnerability in the packet forwarding engine PFE of Juniper Networks Junos OS on EX4k Series and QFX5k Series platforms allows an unauthenticated network-adjacent attacker flapping an interface to cause traffic between VXLAN Network...

PT-2026-3124

An Improper Check for Unusual or Exceptional Conditions vulnerability in the packet forwarding engine PFE of Juniper Networks Junos OS on EX4k Series and QFX5k Series platforms allows an unauthenticated network-adjacent attacker flapping an interface to cause traffic between VXLAN Network...

CVE-2025-68790 net/mlx5: Fix double unregister of HCA_PORTS component

In the Linux kernel, the following vulnerability has been resolved: net/mlx5: Fix double unregister of HCAPORTS component Clear hcadevcomcomp in device's private data after unregistering it in LAG teardown. Otherwise a slightly lagging second pass through mlx5unloadone might try to unregister it...

SecureDyn-FL: A Robust Privacy-Preserving Federated Learning Framework for Intrusion Detection in IoT Networks

The rapid proliferation of Internet of Things IoT devices across domains such as smart homes, industrial control systems, and healthcare networks has significantly expanded the attack surface for cyber threats, including botnet-driven distributed denial-of-service DDoS, malware injection, and dat...

Improper Authorization

shopware/core is vulnerable to Improper Authorization.The vulnerability is due to media visibility restrictions not being enforced on aggregation API requests, which allows an attacker with low-privilege backend access to bypass authorization checks using crafted aggregation queries and disclose...

mariadb: MariaDB Server Crash Due to Empty Backtrace Log

A flaw was found in MariaDB Server. This vulnerability may allow an attacker to cause a crash via an issue related to makeaggrtablesinfo and optimizestage2, resulting in an empty backtrace log...

mariadb: MariaDB Server Crash Due to Empty Backtrace Log

A flaw was found in MariaDB Server. This vulnerability may allow an attacker to cause a crash via an issue related to makeaggrtablesinfo and optimizestage2, resulting in an empty backtrace log...

PT-2026-4482

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description A flaw exists in the Linux kernel's ocelot driver, specifically within the ocelot set aggr pgids function. This issue can lead to a crash when adding an interface under a link aggregatio...

Unity Linux 20.1060a / 20.1070a Security Update: kernel (UTSA-2025-993077)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2025-993077 advisory. In the Linux kernel, the following vulnerability has been resolved: bnxten: Avoid order-5 memory allocation for TPA data The driver needs to keep track of all the...

Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems

Recent attacks on critical infrastructure, including the 2021 Oldsmar water treatment breach and 2023 Danish energy sector compromises, highlight urgent security gaps in Industrial IoT IIoT deployments. While Federated Learning FL enables privacy-preserving collaborative intrusion detection,...