Checked-In Secret Detection: Strings Are All You Need

Hardcoded secrets in source code pose critical security vulnerabilities which can be easily exploited by malicious adversaries. Existing regex-based detection approaches suffer from fundamental limitations, as secrets often lack identifiable patterns, resulting in poor precision and recall. Recen...

Behavioral Residualization for Unsupervised Intrusion Detection in Automotive CAN Networks

Modern vehicles rely on the Controller Area Network CAN bus, whose design prioritizes low cost and real-time performance but provides no message authentication or encryption. An attacker with physical or remote access can therefore inject arbitrary frames, making intrusion detection an important...

Adaptive Intrusion Detection System Using Transformer-Based Neural Networks and Continual Learning Approach with Adversarial Investigation

Network intrusion detection systems IDS trained on fixed traffic snapshots decay silently after deployment as threat distributions shift. Fine-tuning models on new attacks triggers catastrophic forgetting, while retraining from scratch is computationally infeasible. Replay-based continual learnin...

Endpoint Manager client program Code Execution Full Control

The vulnerability of the Endpoint Manager client program and the Detection Agent for the UEM system’s centralized management, monitoring, and security solutions, such as LANSCOPE Endpoint Manager On-Premise Edition, is related to insufficient verification of the communication channel source...

CVE-2026-53947

creationtimestamp| type| source ---|---|--- 2026-08-04 23:31:07+00:00| seen| https://gist.github.com/alon710/c4a761947b80459c983e02321c736c9a 2026-08-05 00:00:39+00:00| seen| https://gist.github.com/alon710/c4a761947b80459c983e02321c736c9a...

Zircolite v3.8.0

Standalone SIGMA-Based Detection Tool for EVTX, Auditd, Sysmon for Linux, XML, CSV, or JSONL/NDJSON Logs Zircolite is a standalone tool written in Python 3 that allows you to use SIGMA rules on: MS Windows EVTX EVTX, XML, and JSONL formats Auditd logs Sysmon for Linux EVTXtract CSV and XML logs...

CVE-2026-67591

creationtimestamp| type| source ---|---|--- 2026-08-04 20:06:41+00:00| seen| https://bsky.app/profile/infosec.skyfleet.blue/post/ayo27b4c6lfg2...

Exploit for Interpretation Conflict in Wordpress

wp2exp2026 🔥 WordPress All-in-One Exploit Framework — De...

CVE-2026-12049

creationtimestamp| type| source ---|---|--- 2026-08-04 13:00:19+00:00| seen| https://t.me/cyberoknews/229 2026-08-05 00:00:35+00:00| seen| https://t.me/cyberoknews/229 2026-08-06 00:00:58+00:00| seen| https://t.me/cyberoknews/229...

Specter-FlipperZero v2.3

Specter 👻 Sweep for the readers you can't see. -26E8CA?style=for-the-badge Specter turns your Flipper Zero into a pocket counter-surveillance bug-sweep for active 13.56 MHz NFC readers. It passively listens for the RF field that a powered-on reader is constantly emitting — a hidden card skimmer...

Antiphishing v30871549411

DONATE - DASHBOARD VECTORS - CONTRIBUTING - SUBMIT A VECTOR - REST API CTI - WIKI Protect against phishing attacks Functionality This rule is built using malicious URLs and domains involved in phishing attacks. We utilize some community APIs and NRD Newly Registered Domain to construct these...

rayhunter v0.12.0

Rayhunter Rayhunter is a project for detecting IMSI catchers, also known as cell-site simulators or stingrays. It was first designed to run on a cheap mobile hotspot called the Orbic RC400L, but thanks to community efforts, it can support some other devices as well. It's also designed to be as ea...

CVE-2026-69084

creationtimestamp| type| source ---|---|--- 2026-08-04 06:00:06+00:00| seen| https://bsky.app/profile/stackflag.bsky.social/post/3msadiw5md52f 2026-08-09 22:00:27+00:00| published-proof-of-concept| https://t.me/GithubRedTeam/97344 2026-08-10 00:00:08+00:00| published-proof-of-concept|...

monkey365 v098.8

Monkey365 is an open-source security assessment framework for Microsoft 365, Azure, and Microsoft Entra ID. It helps security professionals, consultants, administrators, and incident responders identify misconfigurations, review cloud security posture, and evaluate environments against industry...

CLEAR: Causal Context-Based Agentic Reasoning for Vulnerability Detection

Detecting source code vulnerabilities is increasingly difficult as modern security flaws are rooted in complex causal dependencies between execution flows, control conditions, and program states. Despite recent advances in Large Language Models LLMs and multi-agent frameworks, existing approaches...

When Modalities Fail to Tango: Conformal Backdoor Detection in Multimodal Contrastive Learning

Backdoor attacks in multimodal contrastive learning MCL have garnered growing attention in recent years, as many downstream tasks critically depend on pre-trained MCL models. Existing detection-based defenses predominantly rely on the CLIPScore metric, under the assumption that poisoned pairs...

Specter 2.3 NFC Reader / Skimmer Bug-Sweep

Specter turns your Flipper Zero into a pocket counter-surveillance bug-sweep for active 13.56 MHz NFC readers - a hidden card skimmer slipped into a payment terminal, a covert reader behind a door panel, a rogue logger taped under a desk. It passively senses the RF carrier that any powered-on...

FBID: Adaptive Personalized Federated Learning for Robust Out-Of-Distribution Attack Detection in IoT Networks

Personalized Federated Learning PFL has emerged as a promising solution for intrusion detection in heterogeneous IoT environments, as it can improve local adaptation under highly Non-Independent and Identically Distributed non-IID data distributions. However, existing PFL methods often rely on...

MalTotal: Cost-Effective and Language-Agnostic Malicious Code Poisoning Detection for Millions of Repositories

The widespread adoption of open source software OSS has introduced significant security risks, with malicious code poisoning attacks increasingly targeting public package registries and open-source platforms. Existing detection approaches, including heuristic-, learning-, and LLM-based methods,...

ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection

The rapid advancement of modern technology has led to a significant increase in the use of smart devices, such as smartphones and tablets, resulting in the widespread adoption of mobile applications. Although applications are required to undergo malware screening before being published on officia...