MultiVer: Zero-Shot Multi-Agent Vulnerability Detection

We present MultiVer, a zero-shot multi-agent system for vulnerability detection that achieves state-of-the-art recall without fine-tuning. A four-agent ensemble security, correctness, performance, style with union voting achieves 82.7% recall on PyVul, exceeding fine-tuned GPT-3.5 81.3% by 1.4...

SmarterMail 16.3.6989.16341 Path Traversal

This PHP proof of concept is a detection-only artifact generator for CVE-2025-52691 affecting SmarterMail version 16.3.6989.16341. It sends a crafted multipart upload request to the /api/upload endpoint, leveraging a path traversal condition in the contextData GUID to determine whether the target...

Would You Click ‘Accept’? Automatically detecting malicious Azure OAuth applications using LLMs

How Wiz Research automates detection of emerging malicious Azure app and consent phishing campaigns...

Mind the Gap: Evaluating LLMs for High-Level Malicious Package Detection Vs. Fine-Grained Indicator Identification

The prevalence of malicious packages in open-source repositories, such as PyPI, poses a critical threat to the software supply chain. While Large Language Models LLMs have emerged as a promising tool for automated security tasks, their effectiveness in detecting malicious packages and indicators...

Recursive Language Models for Jailbreak Detection: A Procedural Defense for Tool-Augmented Agents

Jailbreak prompts are a practical and evolving threat to large language models LLMs, particularly in agentic systems that execute tools over untrusted content. Many attacks exploit long-context hiding, semantic camouflage, and lightweight obfuscations that can evade single-pass guardrails. We...

📄 Ruckus Unleashed 200.13.6.1.319 XSS Scanner

This is a testing script to validate whether or not a Ruckus Unleashed system is vulnerable to the cross site scripting vulnerability in version 200.13.6.1.319...

CVE-2025-36379

IBM Security QRadar EDR 3.12 through 3.12.23 IBM Security ReaQta uses weaker than expected cryptographic algorithms that could allow an attacker to decrypt highly sensitive information...

CVE-2025-36377

IBM Security QRadar EDR 3.12 through 3.12.23 does not invalidate session after a session expiration which could allow an authenticated user to impersonate another user on the system...

CVE-2025-36377

CVE-2025-36377 affects IBM Security QRadar EDR versions 3.12–3.12.23, where sessions are not invalidated after expiration, allowing an authenticated user to impersonate another user. Connected IBM bulletin confirms remediation: upgrade to QRadar EDR 3.12.24 or later. NVD notes CVSS v3.1 vector wi...

CVE-2025-65753

creationtimestamp| type| source ---|---|--- 2026-02-17 17:34:19+00:00| seen| https://bsky.app/profile/thehackerwire.bsky.social/post/3mf33xltutz2t...

Unify now or pay later: New research exposes the operational cost of a fragmented SOC

Security operations are entering a pivotal moment: the operating model that grew around network logs and phishing emails is now buckling under tool sprawl, manual triage, and threat actors that outpace defender capacity. New research from Microsoft and Omdia shows just how heavy the burden can...

Unify now or pay later: New research exposes the operational cost of a fragmented SOC

Security operations are entering a pivotal moment: the operating model that grew around network logs and phishing emails is now buckling under tool sprawl, manual triage, and threat actors that outpace defender capacity. New research from Microsoft and Omdia shows just how heavy the burden can...

securiclaw

🦞 Securiclaw AI-Powered Code Security Scanner Securiclaw...

Scam Guard for desktop: A second set of eyes for suspicious moments

Scams aren’t so obvious anymore. They're well-written, have working grammar, and can lead victims to very convincing branded webpages. Scammers increasingly use AI tools to clone sites and create highly sophisticated scams at scale, so don't expect to rely on spotting obvious typos anymore. That’...

Attackers Don’t Need Signatures. Neither Should Your Defense.

How signatureless detection closes the most dangerous gap in enterprise vulnerability management — and why CISOs are rethinking their approach to exposure. Continuous Threat Exposure Management The Hidden Limitation Costing You Sleep Every CISO faces the same unanswered question after a board...

My Day Getting My Hands Dirty with an NDR System

My objective As someone relatively inexperienced with network threat hunting, I wanted to get some hands-on experience using a network detection and response NDR system. My goal was to understand how NDR is used in hunting and incident response, and how it fits into the daily workflow of a Securi...

IBM Security QRadar EDR encryption issue vulnerability

IBM Security QRadar EDR is a terminal detection and response software developed by the American multinational company IBM. There are vulnerabilities related to encryption in versions 3.12 to 3.12.23 of IBM Security QRadar EDR. These vulnerabilities stem from the use of encryption algorithms that...

Can Adversarial Code Comments Fool AI Security Reviewers -- Large-Scale Empirical Study of Comment-Based Attacks and Defenses against LLM Code Analysis

AI-assisted code review is widely used to detect vulnerabilities before production release. Prior work shows that adversarial prompt manipulation can degrade large language model LLM performance in code generation. We test whether similar comment-based manipulation misleads LLMs during...

Bluetooth RFCOMM 1.1 Signal-Triggered Air-Gap Interaction

This project demonstrates how Flipper Zero can be used to interact with devices in an Air-Gap context using Bluetooth RFCOMM signals. The system monitors RSSI signal strength and uses statistical peak detection Z-Score analysis to identify significant signal spikes from target devices. When a pea...

A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection

Cryptographic digests e.g., MD5, SHA-256 are designed to provide exact identity. Any single-bit change in the input produces a completely different hash, which is ideal for integrity verification but limits their usefulness in many real-world tasks like threat hunting, malware analysis and digita...