Stella_JRPG_POC

Stella JRPG POC Goal: a small proof-of-concept for a 4-phase J...

The Semantic Trap: Do Fine-Tuned LLMs Learn Vulnerability Root Cause or Just Functional Pattern?

LLMs demonstrate promising performance in software vulnerability detection after fine-tuning. However, it remains unclear whether these gains reflect a genuine understanding of vulnerability root causes or merely an exploitation of functional patterns. In this paper, we identify a critical failur...

Memory Allocation with Excessive Size Value

Overview Affected versions of this package are vulnerable to Memory Allocation with Excessive Size Value. up to 22 MiB when allocating buffers for CompressedCertificate messages on a TLS 1.3 connection with certificate compression. An attacker can cause service degradation or resource exhaustion...

ALPINE-CVE-2025-66199

Issue summary: A TLS 1.3 connection using certificate compression can be forced to allocate a large buffer before decompression without checking against the configured certificate size limit. Impact summary: An attacker can cause per-connection memory allocations of up to approximately 22 MiB and...

Suricata security vulnerabilities

Suricata is a network IDS, IPS, and NSM engine developed by the Open Information Security Foundation. Versions of Suricata prior to 8.0.3 and 7.0.14 contained security vulnerabilities. These vulnerabilities were due to inefficient processing of xff, which could lead to significant performance...

Suricata security vulnerabilities

Suricata is a network IDS, IPS, and NSM engine developed by the Open Information Security Foundation. Versions of Suricata prior to 8.0.0 and 8.0.3 contained security vulnerabilities. These vulnerabilities were due to inefficient parsing of http1 headers, which could lead to performance degradati...

MiracleLinux 8 : bind-9.11.36-8.el8 (AXSA:2023-5855:05)

The remote MiracleLinux 8 host has packages installed that are affected by a vulnerability as referenced in the AXSA:2023-5855:05 advisory. bind: processing large delegations may severely degrade resolver performance CVE-2022-2795 Tenable has extracted the preceding description block directly fro...

ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation

Multimodal large language models MLLMs are increasingly used to automate chart generation from data tables, enabling efficient data analysis and reporting but also introducing new misuse risks. In this work, we introduce ChartAttack, a novel framework for evaluating how MLLMs can be misused to...

BIT-KIBANA-2026-0530 Allocation of Resources Without Limits or Throttling in Kibana Leading to Excessive Allocation

Allocation of Resources Without Limits or Throttling CWE-770 in Kibana Fleet can lead to Excessive Allocation CAPEC-130 via a specially crafted request. This causes the application to perform redundant processing operations that continuously consume system resources until service degradation or...

CVE-2026-0530

CVE-2026-0530 describes an issue in Kibana Fleet where an allocation of resources without limits or throttling (CWE-770) can be triggered by a specially crafted request, causing excessive resource consumption and potential service degradation or unavailability (CAPEC-130). Affected versions span ...

CVE-2026-0530 Allocation of Resources Without Limits or Throttling in Kibana Leading to Excessive Allocation

Allocation of Resources Without Limits or Throttling CWE-770 in Kibana Fleet can lead to Excessive Allocation CAPEC-130 via a specially crafted request. This causes the application to perform redundant processing operations that continuously consume system resources until service degradation or...

EUVD-2026-2039

Allocation of Resources Without Limits or Throttling CWE-770 in Kibana Fleet can lead to Excessive Allocation CAPEC-130 via a specially crafted request. This causes the application to perform redundant processing operations that continuously consume system resources until service degradation or...

CVE-2026-0530 Allocation of Resources Without Limits or Throttling in Kibana Leading to Excessive Allocation

Allocation of Resources Without Limits or Throttling CWE-770 in Kibana Fleet can lead to Excessive Allocation CAPEC-130 via a specially crafted request. This causes the application to perform redundant processing operations that continuously consume system resources until service degradation or...

CVE-2026-0530 Allocation of Resources Without Limits or Throttling in Kibana Leading to Excessive Allocation

Allocation of Resources Without Limits or Throttling CWE-770 in Kibana Fleet can lead to Excessive Allocation CAPEC-130 via a specially crafted request. This causes the application to perform redundant processing operations that continuously consume system resources until service degradation or...

PT-2026-2633

Name of the Vulnerable Software and Affected Versions Kibana affected versions not specified Description A flaw exists in Kibana Fleet related to the allocation of resources without limits or throttling. This can result in excessive allocation of system resources through a crafted request, leadin...

Baiting AI: Deceptive Adversary against AI-Protected Industrial Infrastructures

This paper explores a new cyber-attack vector targeting Industrial Control Systems ICS, particularly focusing on water treatment facilities. Developing a new multi-agent Deep Reinforcement Learning DRL approach, adversaries craft stealthy, strategically timed, wear-out attacks designed to subtly...

CVE-2026-21874

NiceGUI is a Python-based UI framework. From versions v2.10.0 to 3.4.1, an unauthenticated attacker can exhaust Redis connections by repeatedly opening and closing browser tabs on any NiceGUI application using Redis-backed storage. Connections are never released, leading to service degradation wh...

NiceGUI has Redis connection leak via tab storage causes service degradation

Summary An unauthenticated attacker can exhaust Redis connections by repeatedly opening and closing browser tabs on any NiceGUI application using Redis-backed storage. Connections are never released, leading to service degradation when Redis hits its connection limit. NiceGUI continues accepting...

GHSA-MP55-G7PJ-RVM2 NiceGUI has Redis connection leak via tab storage causes service degradation

Summary An unauthenticated attacker can exhaust Redis connections by repeatedly opening and closing browser tabs on any NiceGUI application using Redis-backed storage. Connections are never released, leading to service degradation when Redis hits its connection limit. NiceGUI continues accepting...

CVE-2026-21874

NiceGUI is a Python-based UI framework. From versions v2.10.0 to 3.4.1, an unauthenticated attacker can exhaust Redis connections by repeatedly opening and closing browser tabs on any NiceGUI application using Redis-backed storage. Connections are never released, leading to service degradation wh...