CVE-2026-45131 CloudPirates Open Source Helm Charts: GitHub Actions pull_request_target workflow allows secret exfiltration via fork pull requests

CloudPirates Open Source Helm Charts is a collection of Helm charts. Prior to commit fcf9302, a GitHub Actions workflow pull-request.yaml executes attacker-controlled code from fork pull requests in a privileged context, exposing repository secrets including Docker Hub credentials and tokens...

CVE-2026-45131 CloudPirates Open Source Helm Charts: GitHub Actions pull_request_target workflow allows secret exfiltration via fork pull requests

CloudPirates Open Source Helm Charts is a collection of Helm charts. Prior to commit fcf9302, a GitHub Actions workflow pull-request.yaml executes attacker-controlled code from fork pull requests in a privileged context, exposing repository secrets including Docker Hub credentials and tokens...

PT-2026-45467

Name of the Vulnerable Software and Affected Versions CloudPirates Open Source Helm Charts versions prior to commit fcf9302 Description A GitHub Actions workflow in the pull-request.yaml file executes attacker-controlled code from fork pull requests within a privileged context. This allows for th...

CVE-2026-45261

GitButler desktop app (Tauri-based) is affected prior to version 0.19.7. The issue is a link-injection/remote script execution vector where an attacker can inject a malicious link into a pull request body; if a user clicks it, arbitrary script execution occurs in the Tauri webview. The vulnerabil...

EUVD-2026-32908

Espressif Shared GitHub DangerJS is a reusable GitHub Action CI DangerJS workflow for Espressif GitHub projects. Prior to 1.0.1, the action's entrypoint.sh invoked DangerJS from the caller's workspace after copying the fork's checkout into it, creating an untrusted search path for both binary...

Espressif Shared GitHub DangerJS 安全漏洞

Espressif Shared GitHub DangerJS is a code review tool developed by Espressif Systems for automatically checking the format of pull requests. Versions of Espressif Shared GitHub DangerJS prior to version 1.0.1 contained security vulnerabilities. These vulnerabilities stemmed from entrypoint.sh...

Quality and Security Signals in AI-Generated Python Refactoring Pull Requests

As AI agents increasingly contribute to code development and maintenance, there is still limited empirical evidence on the quality and risk characteristics of their changes in real-world projects, particularly for refactoring-oriented contributions. It remains unclear how agent-authored refactori...

EUVD-2026-29081

Authorization vulnerability in pgAdmin 4 server mode affecting Server Groups, Servers, Shared Servers, Background Processes, and Debugger modules. Multiple endpoints fetched user-owned objects without filtering by the requesting user's identity. An authenticated user could access another user's...

CVE-2026-7813 pgAdmin 4: Cross-user data access and shared-server privilege escalation in server mode

Authorization vulnerability in pgAdmin 4 server mode affecting Server Groups, Servers, Shared Servers, Background Processes, and Debugger modules. Multiple endpoints fetched user-owned objects without filtering by the requesting user's identity. An authenticated user could access another user's...

PT-2026-39623

Name of the Vulnerable Software and Affected Versions pgAdmin 4 versions prior to 9.15 Description An authorization issue in server mode affects the Server Groups, Servers, Shared Servers, Background Processes, and Debugger modules. Multiple endpoints fail to filter user-owned objects by the...

SUSE CVE-2026-41414

Skim is a fuzzy finder designed to through files, lines, and commands. The generate-files job in .github/workflows/pr.yml checks out attacker-controlled fork code and executes it via cargo run, with access to SKIMRSBOTPRIVATEKEY and GITHUBTOKEN contents:write. No gates prevent exploitation - any...

CVE-2026-41414

Skim is a fuzzy finder designed to through files, lines, and commands. The generate-files job in .github/workflows/pr.yml checks out attacker-controlled fork code and executes it via cargo run, with access to SKIMRSBOTPRIVATEKEY and GITHUBTOKEN contents:write. No gates prevent exploitation - any...

CVE-2026-41414

Skim is a fuzzy finder designed to through files, lines, and commands. The generate-files job in .github/workflows/pr.yml checks out attacker-controlled fork code and executes it via cargo run, with access to SKIMRSBOTPRIVATEKEY and GITHUBTOKEN contents:write. No gates prevent exploitation - any...

Insights into Security-Related AI-Generated Pull Requests

Recent years have experienced growing contributions of AI coding agents that assist human developers in various software engineering tasks. However, this growing AI-assisted autonomy raises questions about security and trust. In this paper, we analyze more than 33,000 AI-generated pull requests P...

PT-2026-33183

Name of the Vulnerable Software and Affected Versions OWASP BLT versions prior to 2.1.1 Description An issue exists in the '.github/workflows/regenerate-migrations.yml' workflow where the 'pull request target' trigger runs with full GITHUB TOKEN write permissions. The workflow copies files from...

patchbot

patchbot patchbot is an AI-assisted security reviewer for p...

CVE-2026-33075

FastGPT is an AI Agent building platform. In versions 4.14.8.3 and below, the fastgpt-preview-image.yml workflow is vulnerable to arbitrary code execution and secret exfiltration by any external contributor. It uses pullrequesttarget which runs with access to repository secrets but checks out cod...

CVE-2026-31852

Jellyfin is an open-source media system. The code-quality.yml GitHub Actions workflow in jellyfin/jellyfin-ios is vulnerable to arbitrary code execution via pull requests from forked repositories. Due to the workflow's elevated permissions nearly all write permissions, this vulnerability enables...

Improper Access Control.

code.gitea.io/gitea is vulnerable to improper access control. The vulnerability is due to inadequate enforcement of branch deletion permissions after merging a pull request, which allows an attacker to delete branches without proper authorization...

Measuring and Exploiting Confirmation Bias in LLM-Assisted Security Code Review

Security code reviews increasingly rely on systems integrating Large Language Models LLMs, ranging from interactive assistants to autonomous agents in CI/CD pipelines. We study whether confirmation bias i.e., the tendency to favor interpretations that align with prior expectations affects LLM-bas...