Inside the Advisory Database and what happens when vulnerability volume breaks records

In May 2026, the GitHub Advisory Database published 1,560 reviewed advisories --more than five times our typical monthly output and the highest in its history. And it still wasn't enough to keep up. Over the past few months, the vulnerability ecosystem has shifted in a fundamental way. Input acro...

CVE-2026-10593

The Zephyr Bluetooth LE Audio Basic Audio Profile BAP unicast client mishandles peer-supplied ASE state notifications. In unicastclientepqosstate subsys/bluetooth/audio/bapunicastclient.c, the handler writes attacker-controlled QoS fields interval, framing, phy, sdu, rtn, latency, pd through the...

CVE-2026-10593

The Zephyr Bluetooth LE Audio Basic Audio Profile BAP unicast client mishandles peer-supplied ASE state notifications. In unicastclientepqosstate subsys/bluetooth/audio/bapunicastclient.c, the handler writes attacker-controlled QoS fields interval, framing, phy, sdu, rtn, latency, pd through the...

CVE-2026-10593

The CVE affects Zephyr’s Bluetooth LE Audio BAP unicast client. In unicast_client_ep_qos_state(), the handler writes attacker-controlled QoS fields via stream-qos with only a stream != NULL guard. stream-qos is NULL for streams codec-configured but not yet added to a unicast group, creating a win...

PT-2026-53091

Name of the Vulnerable Software and Affected Versions Zephyr versions prior to 4.3.0 Zephyr version 4.3.0 Zephyr version 4.4.0 Description The Bluetooth LE Audio Basic Audio Profile BAP unicast client mishandles state notifications supplied by a peer. In the unicast client ep qos state function...

sentinel

Sentinel — Agentic Code & System Quality Guardian Production-...

CVE-2026-46952

Vulnerability in the Oracle Quality product of Oracle E-Business Suite component: Internal Operations. Supported versions that are affected are 12.2.3-12.2.15. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Quality. Successful...

CVE-2026-46951

Vulnerability in the Oracle Quality product of Oracle E-Business Suite component: Internal Operations. Supported versions that are affected are 12.2.3-12.2.15. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Quality. Successful...

CVE-2026-46916

Vulnerability in the Oracle Process Manufacturing Product Development product of Oracle E-Business Suite component: Quality Management Specs. Supported versions that are affected are 12.2.3-12.2.15. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to...

PT-2026-50052

Vulnerability in the Oracle Quality product of Oracle E-Business Suite component: Internal Operations. Supported versions that are affected are 12.2.3-12.2.15. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Quality. Successful...

PT-2026-50051

Name of the Vulnerable Software and Affected Versions Oracle E-Business Suite Oracle Quality versions 12.2.3 through 12.2.15 Description An issue exists in the Internal Operations component of the Oracle Quality product. A low privileged attacker with network access via HTTP can exploit this flaw...

CVE-2026-1516

GitLab has remediated an issue in GitLab EE affecting all versions from 18.0.0 before 18.8.9, 18.9 before 18.9.5, and 18.10 before 18.10.3 that in Code Quality reports could have allowed an authenticated user to leak IP addresses of users viewing the report via specially crafted content...

Operationalizing Cyber Attack Prediction: A Gap-Prioritized Framework with Dataset and Model Selection Guidelines

While AI and machine learning for cyber attack prediction have advanced, a critical gap persists between theoretical research and practical operational deployment. Building on Ankalaki et al. 2025, this paper provides a comprehensive analysis of 150+ benchmark datasets and 200+ studies to identif...

CVE-2018-25417

AiOPMSD Final 1.0.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the quality parameter. Attackers can send GET requests to quality.php with crafted SQL payloads in the quality parameter to extrac...

EUVD-2018-21939

AiOPMSD Final 1.0.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the quality parameter. Attackers can send GET requests to quality.php with crafted SQL payloads in the quality parameter to extrac...

CVE-2018-25417

AiOPMSD Final 1.0.0 contains an SQL injection vulnerability via the quality parameter in quality.php. Unauthenticated attackers can send crafted SQL payloads to extract sensitive data (usernames, database names, version details). CVSS metrics indicate high severity (CVSS 3.1: 8.2; CVSS 4.0: 8.8)....

CVE-2018-25417 AiOPMSD Final 1.0.0 SQL Injection via quality.php

AiOPMSD Final 1.0.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the quality parameter. Attackers can send GET requests to quality.php with crafted SQL payloads in the quality parameter to extrac...

CVE-2018-25417

AiOPMSD Final 1.0.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the quality parameter. Attackers can send GET requests to quality.php with crafted SQL payloads in the quality parameter to extrac...

CVE-2018-25417 AiOPMSD Final 1.0.0 SQL Injection via quality.php

AiOPMSD Final 1.0.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the quality parameter. Attackers can send GET requests to quality.php with crafted SQL payloads in the quality parameter to extrac...

Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety

Current approaches to LLM adversarial testing suffer from coverage gaps: manual red-teaming does not scale, LLM-as-attacker methods exhibit mode collapse, and gradient-based approaches produce uninterpretable gibberish. We introduce a quality-diversity evolutionary framework that operates at the...