40263 matches found
invisible_playwright v0.7.2
Playwright gets caught by anti-bots and captchas. This one runs on an anti-detect Firefox with an undetected fingerprint, compatible with your existing Playwright code. How it works Anti-bots ask two questions, and reCAPTCHA, hCaptcha and Cloudflare Turnstile score the answers. invisibleplaywrigh...
Awesome-LLMs-for-Vulnerability-Detection — Updated!
Awesome Large Language Models for Vulnerability Detection A curated list of papers, projects, and agent skills on using LLMs for vulnerability detection and discovery. 📄 Papers Only showing 2025 and later. For earlier work, see Papers Archive 2024 and earlier. Title| Venue| Year| Paper| Github...
awesome-soc — Updated!
Awesome SOC An operational handbook and knowledge base to build, run and mature a SOC including CSIRT. Covering: SOC basics detection engineering threat intelligence SOC metrics/KPI SOC automation AI use cases and best practices SOP SOC playbooks Those are my view, based on my own experience as...
USBvalve v1.0.1
!NOTE USBvalve Version 1.0.0 A complete rewrite of the application has been done: moved away from Arduino IDE environment, now the code is written for the Pi Pico SDK dependencies on external libraries have been reduced a lot USB host support for Low Speed devices is now more robust ATTiny85,...
NoiseHound v1.2.0
NoiseHound Detection-aware Active Directory attack-path scoring. DreadHost Research | companion to OffsetInspect PowerShell and OffsetScan Rust BloodHound and PlumHound on top of it finds a path to the objective. NoiseHound ingests the same graph data and re-ranks paths by expected detection cost...
CVE-2026-82863
@hulumi/baseline versions before 1.3.2 fail to fully detect CloudTrail selector tampering events, reducing audit logging configuration change coverage. Attackers can modify CloudTrail event selectors without complete detection, potentially evading audit trail monitoring...
CVE-2026-82863 @hulumi/baseline before 1.3.2 CloudTrail Selector Tampering Detection
@hulumi/baseline versions before 1.3.2 fail to fully detect CloudTrail selector tampering events, reducing audit logging configuration change coverage. Attackers can modify CloudTrail event selectors without complete detection, potentially evading audit trail monitoring...
EUVD-2026-68451
@hulumi/baseline versions before 1.3.2 fail to fully detect CloudTrail selector tampering events, reducing audit logging configuration change coverage. Attackers can modify CloudTrail event selectors without complete detection, potentially evading audit trail monitoring...
CVE-2026-82863 @hulumi/baseline before 1.3.2 CloudTrail Selector Tampering Detection
@hulumi/baseline versions before 1.3.2 fail to fully detect CloudTrail selector tampering events, reducing audit logging configuration change coverage. Attackers can modify CloudTrail event selectors without complete detection, potentially evading audit trail monitoring...
CVE-2026-82863 @hulumi/baseline before 1.3.2 CloudTrail Selector Tampering Detection
@hulumi/baseline versions before 1.3.2 fail to fully detect CloudTrail selector tampering events, reducing audit logging configuration change coverage. Attackers can modify CloudTrail event selectors without complete detection, potentially evading audit trail monitoring...
CVE-2026-82863
@hulumi/baseline versions before 1.3.2 fail to fully detect CloudTrail selector tampering events, reducing audit logging configuration change coverage. An attacker with appropriate access can modify CloudTrail event selectors without complete detection, potentially evading audit trail monitoring....
CVE-2026-81315
creationtimestamp| type| source ---|---|--- 2026-08-31 01:20:06+00:00| seen| https://bsky.app/profile/stackflag.bsky.social/post/3mudqh4o55v2u...
Explainable Artificial Intelligence for Industrial Cybersecurity: A Review of Methods, Operational Integration, and Research Challenges
The increasing digitalization of industrial infrastructure and the convergence of information technology IT and operational technology OT have expanded the cyberattack surface of industrial systems. To address the growing complexity of cyber threats, artificial intelligence AI and machine learnin...
AIDE 0.19.4
AIDE Advanced Intrusion Detection Environment is a free replacement for Tripwiretm. It generates a database that can be used to check the integrity of files on server. It uses regular expressions for determining which files get added to the database. You can use several message digest algorithms ...
EUVD-2026-68230
WWBN AVideo current e01e41ecc and earlier contains a brute-force rate limiting bypass in enforceRateLimit, which protects login.json.php and 13 other endpoints. The function stores its attempt counter via a cache layer ObjectYPT::setCacheGlobal that silently discards writes for any client...
CVE-2026-75847
creationtimestamp| type| source ---|---|--- 2026-08-30 02:20:46+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/7pvs4t4e5e2fq...
PT-2026-83570
WWBN AVideo current e01e41ecc and earlier contains a brute-force rate limiting bypass in enforceRateLimit, which protects login.json.php and 13 other endpoints. The function stores its attempt counter via a cache layer ObjectYPT::setCacheGlobal that silently discards writes for any client...
Foundation and Multimodal Large Language Models for Face Presentation and Morph Attack Detection
Face recognition systems are increasingly deployed in security-critical applications, yet they remain vulnerable to presentation and morph attacks. Presentation attack detection PAD and morphing attack detection MAD are therefore essential components of trustworthy face biometrics. Despite...
Building the Truman Show: A TrustZone-Based Framework for Lightweight Out-Of-Band Kernel Security Monitoring
The increasing number of vulnerabilities in operating systems, together with sophisticated kernel-level threats e.g., rootkits, has weakened the effectiveness of traditional in-kernel protection mechanisms. Since these defenses operate at the same privilege level as the kernel, they share the sam...
HSMLog: Small Language Model-Assisted Hardware Security Module Log Anomaly Detection with Behavioral Analysis
Hardware Security Module HSM logs capture security-critical behavior, but anomalies emerge from relationships across event sequences, keys, object states, sessions, and temporal patterns rather than isolated events. Existing methods separate detection from HSM-specific evidence validation and...