CVE-2026-48357 CAI Content Credentials | Uncontrolled Resource Consumption (CWE-400)

CAI Content Credentials is affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue...

CVE-2026-47998 Adobe Commerce | Incorrect Authorization (CWE-863)

Adobe Commerce is affected by an Incorrect Authorization vulnerability that could result in a Security feature bypass. An attacker could leverage this vulnerability to bypass security measures and gain unauthorized read access. Exploit depends on conditions beyond the attacker's control...

CVE-2026-48001 Adobe Commerce | Information Exposure (CWE-200)

Adobe Commerce is affected by an Information Exposure vulnerability that could lead to a limited disclosure of sensitive information. Exploit depends on conditions beyond the attacker's control. Exploitation of this issue does not require user interaction...

CVE-2026-48001 Adobe Commerce | Information Exposure (CWE-200)

Adobe Commerce is affected by an Information Exposure vulnerability that could lead to a limited disclosure of sensitive information. Exploit depends on conditions beyond the attacker's control. Exploitation of this issue does not require user interaction...

CVE-2026-47968 Audition | Out-of-bounds Write (CWE-787)

Audition is affected by an out-of-bounds write vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file...

CVE-2026-50087

The Aqara IAM/SSO gateway gw-builder.aqara.com exhibits a cross-origin request sharing vulnerability, which is an instance of "CWE-942: Permissive Cross-domain Policy with Untrusted Domains," and has an estimated CVSS of CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N 8.2 High...

EUVD-2026-35562

No cwe for this issue in Windows DHCP Server allows an unauthorized attacker to perform tampering over a network...

Learn from Your Mistakes: Tree-Like Self-Play for Secure Code LLMs

While Large Language Models LLMs excel in code generation, they remain prone to replicating subtle yet critical vulnerabilities endemic to their training data. Current alignment techniques, such as Supervised Fine-Tuning SFT and Reinforcement Learning RL, typically apply coarse-grained optimizati...

An Empirical Evaluation of LLM-Generated Code Security across Prompting Methods

The growing use of Large Language Models LLMs for automated code generation has enhanced software development efficiency, but often at the cost of security. Generated code frequently overlooks critical concerns, leaving it vulnerable to issues such as weak encryption and improper input validation...

Position: AI Security Policy Should Target Systems, Not Models

We present swarm-attack, an open-source adversarial testing framework in which multiple lightweight LLM agents coordinate through shared memory, parallel exploration, and evolutionary optimization. Together, our results demonstrate that both safety bypass of frontier models and software...

On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies

The security of AI-generated code remains a major obstacle to its widespread adoption. Although code generation models achieve strong performance on functional benchmarks, their outputs frequently contain bugs and security weaknesses that undermine their trustworthiness. Prior work has explored a...

Open redirect vulnerability in multiple laser printers and MFPs which implement Ricoh Web Image Monitor

Overview Web Image Monitor provided by Ricoh Company, Ltd. is a web server that is included in and runs on laser printers and MFPs multifunction printers. Web Image Monitor contains the vulnerability listed below. Open redirect CWE-601 - CVE-2026-41226 Tony Kirkland of Sixgen Inc reported this...

poc

poc Collection of my PoC's for various vulnerabilities. L...

Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities

According to constructivist theory, students learn software security more effectively when examples are grounded in their own code. Generic examples often fail to connect with students' prior work, limiting engagement and understanding. Advances in LLMs are now making it possible to automatically...

EUVD-2025-209459

An issue pertaining to CWE-843: Access of Resource Using Incompatible Type was discovered in transloadit uppy v0.25.6...

pantry

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BayreuthWing

A transformer-based deep learning system for detecting securit...

EUVD-2026-19634

An issue that allowed all-organization administrators to promote accounts to superuser status has been resolved. This is an instance of CWE-269: Improper Privilege Management, and has an estimated CVSS score of CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:H/I:H/A:N 8.1 High. This issue was fixed in version...

PT-2026-30879

An issue that could allow a credential to be updated and used for a task from outside of the authorized organization scope has been resolved. This is an instance of CWE-863: Incorrect Authorization, and has an estimated CVSS score of CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:N/A:N 5.8 Medium. This...

SecPI: Secure Code Generation with Reasoning Models Via Security Reasoning Internalization

Reasoning language models RLMs are increasingly used in programming. Yet, even state-of-the-art RLMs frequently introduce critical security vulnerabilities in generated code. Prior training-based approaches for secure code generation face a critical limitation that prevents their direct applicati...