WireDown

WireDown Autonomous AI-Driven Honeypot in a Zero-Gravity Physi...

Web-Based-Honeypot-for-Intrusion-Detection

Web-Based-Honeypot-for-Intrusion-Detection A Web-Based Honeypo...

How Reliable Are AI Attackers against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency

Large language models LLMs can autonomously conduct multi-stage cyber attacks, but the consistency of their offensive behavior under repeated trials remains unstudied. This work presents the first large-scale empirical measurement of LLM attack consistency: 400 autonomous penetration testing runs...

Malicious code in mev-shield (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 9783d5e48d62da6de516b1cf5d36474143528a9c6f33a86892ee558266a4e5ec The package advertises itself as an 'MEV protection layer for Ethereum trading bots' but does the opposite. On npm install, a postinstall script...

MAL-2026-4609 Malicious code in mev-shield (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 9783d5e48d62da6de516b1cf5d36474143528a9c6f33a86892ee558266a4e5ec The package advertises itself as an 'MEV protection layer for Ethereum trading bots' but does the opposite. On npm install, a postinstall script...

cve-honeypot

🪤 CVE Honeypot Farm Emulates vulnerable services based on rea...

Your Redis Server Looks Fine. That’s the Problem.

Introduction There’s an automated attack circulating right now that breaks into unprotected Redis servers, takes over the underlying machine, and then carefully puts everything back the way it found it. It restores the database filename. It deletes the tools it used. It detaches from the...

Exploit for CVE-2026-0300

CVE-20...

CVE-2022-47615

creationtimestamp| type| source ---|---|--- 2026-04-28 00:00:00+00:00| seen| The Shadowserver honeypot/common-vulnerabilities - 2026-04-28...

HoneypotSEC

No d...

HONEYPOTX-AI-Powered-Cyber-Threat-Detection-System

No d...

Honeypot Protocol

Trusted monitoring, the standard defense in AI control, is vulnerable to adaptive attacks, collusion, and strategic attack selection. All of these exploit the fact that monitoring is passive: it observes model behavior but never probes whether the model would behave differently under different...

CVE-2018-6605

creationtimestamp| type| source ---|---|--- 2026-04-07 00:00:00+00:00| seen| The Shadowserver honeypot/common-vulnerabilities - 2026-04-07 2026-04-12 00:00:00+00:00| exploited| The Shadowserver honeypot/exploited-vulnerabilities - 2026-04-12 2026-04-15 00:00:00+00:00| exploited| The Shadowserver...

northbridge-honeypot

No d...

Exploit for CVE-2014-8361

Vuln Scanner - Advanced Network Security Scanner !Licenseht...

CVE-2022-40843

creationtimestamp| type| source ---|---|--- 2026-03-25 00:00:00+00:00| exploited| The Shadowserver honeypot/exploited-vulnerabilities - 2026-03-25...

CVE-2019-5434

creationtimestamp| type| source ---|---|--- 2026-03-22 00:00:00+00:00| exploited| The Shadowserver honeypot/exploited-vulnerabilities - 2026-03-22 2026-03-28 00:00:00+00:00| exploited| The Shadowserver honeypot/exploited-vulnerabilities - 2026-03-28 2026-03-29 00:00:00+00:00| exploited| The...

CVE-2020-10546

creationtimestamp| type| source ---|---|--- 2026-03-17 00:00:00+00:00| exploited| The Shadowserver honeypot/exploited-vulnerabilities - 2026-03-17...

Exploit for CVE-2024-3912

Why? Publishing because Mirai are a bunch of irrit...

Multi-Agent Honeypot-Based Request-Response Context Dataset for Improved SQL Injection Detection Performance

SQL injection remains a major threat to web applications, as existing defenses often fail against obfuscation and evolving attacks because of neglecting the request-response context. This paper presents a context-enriched SQL injection detection framework, focusing on constructing a high-quality...