492 matches found
EUVD-2026-12564
Apache Airflow versions 3.1.0 through 3.1.7 /ui/dependencies endpoint returns the full DAG dependency graph without filtering by authorized DAG IDs. This allows an authenticated user with only DAG Dependencies permission to enumerate DAGs they are not authorized to view. Users are recommended to...
PT-2026-25892
Name of the Vulnerable Software and Affected Versions Apache Airflow versions 3.1.0 through 3.1.7 Description The /ui/dependencies endpoint in Apache Airflow returns the complete DAG dependency graph without filtering by authorized DAG IDs. This allows an authenticated user with only DAG...
AutoMapper Vulnerable to Denial of Service (DoS) via Uncontrolled Recursion
Summary AutoMapper is vulnerable to a Denial of Service DoS attack. When mapping deeply nested object graphs, the library uses recursive method calls without enforcing a default maximum depth limit. This allows an attacker to provide a specially crafted object graph that exhausts the thread's sta...
Uncontrolled Recursion
Overview Affected versions of this package are vulnerable to Uncontrolled Recursion in the core mapping engine when handling deeply nested object graphs. An attacker can cause the application to crash. Remediation Upgrade AutoMapper to version 15.1.3, 16.1.1 or higher. References - GitHub Advisor...
AutoMapper Vulnerable to Denial of Service (DoS) via Uncontrolled Recursion
AutoMapper is vulnerable to a Denial of Service DoS attack. When mapping deeply nested object graphs, the library uses recursive method calls without enforcing a default maximum depth limit. This allows an attacker to provide a specially crafted object graph that exhausts the thread's stack memor...
AutoMapper Vulnerable to Denial of Service (DoS) via Uncontrolled Recursion
AutoMapper is vulnerable to a Denial of Service DoS attack. When mapping deeply nested object graphs, the library uses recursive method calls without enforcing a default maximum depth limit. This allows an attacker to provide a specially crafted object graph that exhausts the thread's stack memor...
CVE-2026-32127
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.1, OpenEMR contains a SQL injection vulnerability in the ajax graphs library that can be exploited by authenticated attackers. The vulnerability exists due to insufficient input...
CVE-2026-32127 SQL Injection Vulnerability in ajax graphs library (OpenEMR)
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.1, OpenEMR contains a SQL injection vulnerability in the ajax graphs library that can be exploited by authenticated attackers. The vulnerability exists due to insufficient input...
CVE-2026-32127 SQL Injection Vulnerability in ajax graphs library (OpenEMR)
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.1, OpenEMR contains a SQL injection vulnerability in the ajax graphs library that can be exploited by authenticated attackers. The vulnerability exists due to insufficient input...
CVE-2026-32127
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.1, OpenEMR contains a SQL injection vulnerability in the ajax graphs library that can be exploited by authenticated attackers. The vulnerability exists due to insufficient input...
EUVD-2026-11401
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.1, OpenEMR contains a SQL injection vulnerability in the ajax graphs library that can be exploited by authenticated attackers. The vulnerability exists due to insufficient input...
CVE-2026-32127 SQL Injection Vulnerability in ajax graphs library (OpenEMR)
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.1, OpenEMR contains a SQL injection vulnerability in the ajax graphs library that can be exploited by authenticated attackers. The vulnerability exists due to insufficient input...
CVE-2026-32127
CVE-2026-32127 affects OpenEMR before version 8.0.0.1, via a SQL injection in the ajax graphs library caused by insufficient input validation. The vulnerability can be exploited by authenticated attackers and may impact confidentiality, integrity, and availability. The advisory states the issue i...
CVE-2026-32125 OpenEMR: Stored XSS in Track Anything Graphs via Unescaped Dygraph Titles/Labels
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.1, track/item names from the Track Anything feature are stored from user input POST and later rendered in Dygraph charts titles/labels using innerHTML or equivalent without...
CVE-2026-32127: Improper Neutralization of Special Elements used in an SQL Command
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.1, OpenEMR contains a SQL injection vulnerability in the ajax graphs library that can be exploited by authenticated attackers. The vulnerability exists due to insufficient input...
PT-2026-24848
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.1, OpenEMR contains a SQL injection vulnerability in the ajax graphs library that can be exploited by authenticated attackers. The vulnerability exists due to insufficient input...
SoK: Harmonizing Attack Graphs and Intrusion Detection Systems
Detecting and responding to cyber attacks is increasingly difficult as high-volume, complex network traffic allows threats to remain concealed. While Intrusion Detection Systems IDSs identify anomalous behavior, Attack Graphs AGs serve as the primary threat model for analyzing attacker strategies...
Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection
Mixture-of-Experts MoE offers flexible graph reasoning by combining multiple views of a graph through a learned router. We investigate routing-aware explanations for MoE graph models in malware detection using control flow graphs CFGs. Our architecture builds diversity at two levels. At the node...
