39089 matches found
CVE-2017-7577
creationtimestamp| type| source ---|---|--- 2026-08-27 09:00:03+00:00| seen| https://t.me/thehaking/2965 2026-08-28 00:01:00+00:00| published-proof-of-concept| https://t.me/thehaking/2965...
SkillSpector v2.10.0
SkillSpector Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks before installing agent skills. Overview AI agent skills used by Claude Code, Codex CLI, Gemini CLI, etc. execute with implicit trust and minimal vetting. Research shows that 26.1% of...
cdncheck v1.2.50
cdncheck Features • Installation • Usage • Join Discord root@kitploit: cdncheck is a tool for identifying the technology associated with dns / ip network addresses. Features CDN , CLOUD and WAF Detection Easy to use as library Easily extendable providers IP, DNS input support Text, JSONL output...
magic-extractor v1.3.1
Magic Extractor Description Magic Extractor is a universal extraction tool for Windows that identifies a file with several detectors and routes it to the right bundled extractor. It aims to cover mainstream compression formats, the installers you actually see today, and a range of less common...
yaraast v2.0.1rc1
yaraast Parse, analyze, and transform YARA rules with a Python AST toolkit Overview yaraast is a Python library for parsing and manipulating YARA-family rules using Abstract Syntax Trees AST. It supports classic YARA, YARA-L, and YARA-X workflows with automatic dialect detection and CLI tooling...
SUSE CVE-2026-74686
In the Linux kernel, the following vulnerability has been resolved: rqspinlock: Reset tail when preserving queue on deadlock Currently, the destruction of the waiter queue is suppressed for rqspinlock in cases where a deadlock is detected. Deadlock checks happen relatively frequently on entry for...
Are We Shooting Flies with Cannons? Trade-Off Analysis for AI-Based 5G Intrusion Detection
The increasing adoption of Artificial Intelligence AI in network intrusion detection raises the question of whether complex and computationally expensive models are justified for this task. In this work, we investigate the trade-off between detection performance and computational cost for intrusi...
PT-2026-82596
openssl encrypt versions before 1.4.9 fail to escape attacker-controlled key id values printed to stderr during decrypt auto-detection. Attackers can craft encrypted files with malicious key id containing escape sequences to repaint terminal output and forge authenticity verification blocks...
When Relationships Break: Interpreting Network Traffic Anomalies Via Dependency Violations
Current research on security monitoring is increasingly focusing on machine-learning-based approaches, but caveats remain. In addition to huge computational overhead, one concern is the lack of insights into "why" alerts are raised. Existing interpretability approaches rely on feature attribution...
X-WAD: EXplainable Web Anomaly Detection
The rapid growth of web-based services, particularly API-driven architectures, reflects an increasing reliance on distributed systems, exposing sensitive data to security risks and making the adoption of automated defensive mechanisms essential. In this context, where benign traffic predominates ...
EBPF-Based Cybersecurity Mechanisms: A Systematic Literature Review
Extended Berkeley Packet Filter eBPF has emerged as a kernel-level framework enabling dynamic security enforcement in modern operating systems. While eBPF's cybersecurity potential has attracted significant attention, existing work remains fragmented across domains, evaluation methodologies, and...
Joern 4.0.612
Joern is the bug hunter's workbench. With this tool, you can uncover attack surface, sloppy coding practices, and variants of known vulnerabilities using an interactive code analysis shell. Joern supports C, C++, LLVM bitcode, x86 binaries via Ghidra, JVM bytecode via Soot, and Javascript...
Cyber-Electromagnetic Anomaly Detection through Time-Series Analysis
Military operations benefit from the coordination between kinetic and non-kinetic domains. In particular, the coordination of cyber operations and electromagnetic warfare has become increasingly relevant for gaining operational advantage. This coordination is also relevant for Cyber Situational...
git-alerts v1.8.0
GitAlerts What problem does it solve? GitHub repositories created under any organization can be controlled by the GitHub administrators. However any repository created under an organization's user account is not controllable unless the organisation has adopted the GitHub enterprise-managed user E...
TCGuard
TCGuard — Universal Crash, Exploit, Packet & Anti-Bot Protecti...
net/http: golang: Go net/http: Unencrypted HTTP/2 connections vulnerable to Denial of Service
A flaw was found in the net/http component of the Go standard library. When a server is configured to support unencrypted HTTP/2, it reads initial bytes from new connections to detect the HTTP/2 client preface. However, the ReadHeaderTimeout is not correctly applied during this process. This...
CVE-2025-53887
creationtimestamp| type| source ---|---|--- 2026-08-26 06:00:06+00:00| confirmed| https://github.com/projectdiscovery/nuclei-templates/tree/main/http/cves/2025/CVE-2025-53887.yaml 2026-08-27 00:00:08+00:00| confirmed|...
nerva v1.69.2
Nerva Nerva: Fast Service Fingerprinting CLI Features • Installation • Quick Start • Usage • Protocols • Library • Use Cases • Troubleshooting High-performance service fingerprinting written in Go. Identify 170+ network protocols across TCP, UDP, and SCTP transports with rich metadata extraction...
titus v1.2.8
Titus: High-Performance Secrets Scanner Titus is a high-performance secrets scanner that detects credentials, API keys, and tokens in source code, files, and git history. It ships with 487 detection rules covering hundreds of services and credential types, drawn from NoseyParker and Kingfisher...
How Do LLM Agents Actually Get the Flag? Trace-Level Provenance for Agentic Offensive Security Evaluation
Capture-the-Flag CTF benchmarks are widely used to assess the offensive security capabilities of autonomous language-model agents. Evaluations rely on shallow binary judgments or aggregate scores, overlooking the agent's trajectory to the flag. Consequently actual exploitation is conflated with...