Less panic patching, more precision

Welcome to this week's edition of the Threat Source newsletter. Recently, Martin closed his introduction with a warning: Ready or not, the time of much patching is coming. I've been chewing on that one for a while because I'm rethinking my own enrichment pipelines along these lines, and the...

watch-tower

OT/ICS Threat Intelligence Lab Local threat intelligence lab...

The Alert Firehose Finally Meets Its Match

Ask a cybersecurity pro about Network Detection and Response NDR and you might still hear "Noisy," "Too much data." But ask the teams running NDR that includes agentic AI capabilities and you'll hear they're actually using it to catch threats earlier, triage faster, and chase fewer false positive...

Demystifying the Mythos or Disrupting Bugonomics? from Zero-Day Asymmetry to Defender Remediation Throughput

Recent demonstrations of large language models producing candidate and confirmed vulnerabilities in production software have renewed the narrative that AI will reshape offensive and defensive security. Headlines emphasize capability; they rarely interrogate costs and incentives. This paper examin...

PT-2026-42473

Name of the Vulnerable Software and Affected Versions gdk-pixbuf-loader-libheif versions prior to 1.22.2-1.1 Description An integer underflow leads to an out-of-bounds OOB memory access. This issue was discovered using AI-assisted fuzzing, a technique that uses artificial intelligence to...

SOC-Alert-Investigation-Portfolio

SOC Alert Investigation Portfolio This repository contains pr...

sec-recon-agent

sec-recon-agent Type-safe security triage built on Pydantic A...

LITE-SOC: Lightweight Security Operations Center Simulator for Cybersecurity Education

This innovative practice WIP paper describes LITE-SOC, a lightweight web-based Security Operations Center SOC simulator designed for instructor-led cybersecurity education. SOC analysts must triage large volumes of alerts, separate genuine threats from false positives, and communicate decisions...

Improper Neutralization of Input Used for LLM Prompting

Overview nnunet is a nnU-Net. Framework for out-of-the box biomedical image segmentation. Affected versions of this package are vulnerable to Improper Neutralization of Input Used for LLM Prompting via the .github/workflows/issue-triage.yml process. An attacker can manipulate authenticated issue...

CVE-2026-44246

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 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: $...

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...