227 matches found
EUVD-2026-29841
nnU-Net is a semantic segmentation framework that automatically adapts its pipeline to a dataset. Prior to 2.4.1, the nnU-Net Issue Triage workflow in .github/workflows/issue-triage.yml is vulnerable to Agentic Workflow Injection. The workflow sets allowednonwriteusers: $...
CVE-2026-44246
The CVE concerns nnU-Net (MIC-DKFZ/nnUNet) before version 2.4.1. The issue lies in the nnU-Net Issue Triage workflow at .github/workflows/issue-triage.yml, which sets allowed_non_write_users: ${{ github.event.issue.user.login }}. This allows any logged-in GitHub user opening an issue to reach an ...
CVE-2026-44246 nnU-Net: Agentic workflow injection in `.github/workflows/issue-triage.yml` of `MIC-DKFZ/nnUNet`
nnU-Net is a semantic segmentation framework that automatically adapts its pipeline to a dataset. Prior to 2.4.1, the nnU-Net Issue Triage workflow in .github/workflows/issue-triage.yml is vulnerable to Agentic Workflow Injection. The workflow sets allowednonwriteusers: $...
CVE-2026-44246 nnU-Net: Agentic workflow injection in `.github/workflows/issue-triage.yml` of `MIC-DKFZ/nnUNet`
nnU-Net is a semantic segmentation framework that automatically adapts its pipeline to a dataset. Prior to 2.4.1, the nnU-Net Issue Triage workflow in .github/workflows/issue-triage.yml is vulnerable to Agentic Workflow Injection. The workflow sets allowednonwriteusers: $...
nnU-Net 安全漏洞
nnU-Net is an automatic adaptation dataset semantic segmentation framework developed by MIC-DKFZ. Versions of nnU-Net prior to 2.4.1 contained a security vulnerability. This vulnerability stemmed from the Issue Triage workflow, which allowed attackers to control content injection into the Claude...
PT-2026-40433
nnU-Net is a semantic segmentation framework that automatically adapts its pipeline to a dataset. Prior to 2.4.1, the nnU-Net Issue Triage workflow in .github/workflows/issue-triage.yml is vulnerable to Agentic Workflow Injection. The workflow sets allowed non write users: $...
AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey
Security alert screening is the downstream task of filtering, prioritizing, correlating, and contextualizing alerts for analyst attention in Security Operations Centers. This survey reviews artificial-intelligence-driven alert screening and alert-fatigue mitigation from 2015 to 2026. We synthesiz...
Longitudinal Analyses of SAST Tools: A CodeQL Case Study
Open-source software OSS pipelines rely on automated static analysis tools to prevent the introduction of vulnerabilities in code. However, there is limited understanding of the efficacy of these tools across the OSS ecosystem over time. In this paper, we introduce a novel method to evaluate stat...
Lightweight Vulnerability Detection from Code Metrics and Token Features
Vulnerability detection for C/C++ code increasingly relies on heavy representations such as code graphs and deep models, while many practical workflows still benefit from fast and reproducible ranking baselines for human triage. This preprint studies a lightweight function-level vulnerability...
exploit-tool
Exploit-Tool Single-console pentest platform built on authori...
Simplifying AWS defense with Microsoft Sentinel UEBA
In this article 1. Under the hood: The tables 2. Traditional vs. new approach 3. Real-world attack scenarios: Microsoft Sentinel UEBA in action 4. Practical implementation: Getting started 5. Limitations and constraints 6. From raw logs to behavioral context With the expansion of Microsoft Sentin...
DrvEye
drivertool A static-analysis & exploitation-triage toolkit...
vlnr
vlnr: Autonomous Vulnerability Discovery Pipeline !Python 3...
Can SOC Operators Explain Their Decisions While Triaging Alarms? A Real-World Study
Security Operations Centers SOCs are pivotal in modern enterprises. Tasked to monitor complex network environments constantly under attack, SOCs can be active 24/7 and can include hundreds of operators supported by state-of-the-art technologies. Abundant research has studied the internal processe...
catbyte-toolkit
cb - Binary Analysis Toolkit for macOS/iOS Security Research...
argus
Argus Autonomous vulnerability discovery and exploit validati...
Your MTTD Looks Great. Your Post-Alert Gap Doesn't
Anthropic restricted its Mythos Preview model last week after it autonomously found and exploited zero-day vulnerabilities in every major operating system and browser. Palo Alto Networks' Wendi Whitmore warned that similar capabilities are weeks or months from proliferation. CrowdStrike's 2026...
Vulnerability Remediation: The Complete Guide to Fixing Security Weaknesses
Your scanners find thousands of vulnerabilities every cycle. Your team triages, assigns, and patches what they can. But weeks later, the same critical CVEs still sit open, SLAs blow past their deadlines, and the backlog keeps growing. The problem is rarely a lack of detection. It is a broken...
SIR-Bench: Evaluating Investigation Depth in Security Incident Response Agents
We present SIR-Bench, a benchmark of 794 test cases for evaluating autonomous security incident response agents that distinguishes genuine forensic investigation from alert parroting. Derived from 129 anonymized incident patterns with expert-validated ground truth, SIR-Bench measures not only...
The Increasing Role of AI in Vulnerability Research
At Wordfence, we run a bug bounty program that pays out mid-six figures per year to researchers in bug bounties for WordPress related vulnerabilities. Funding this research helps us improve security for the WordPress community overall, and helps us secure our customers by rolling out protection f...