Prompt Overflow: What the Guardrail Inspects Is Not What the Model Infers

Guardrail models a.k.a. safety checkers are widely deployed to screen user inputs before they reach large language models LLMs, serving as a primary defense against prompt injection attacks. Due to strict context constraints, these models handle overlength prompts through truncation or...

XSS-Payload-Generator

XSS-Payload-Generator user guide 0. This script is an XSS payl...

Bypassing On-Camera Age-Verification Checks

Some AI-based video age-verification checks can be fooled with a fake mustache...

STRIKE: A Structured Taxonomy of Cybercrime for Risk, Impact, Knowledge, and Evolution

Cybercrime has grown exponentially in both scale and sophistication, posing significant threats. As attack methods evolve rapidly, traditional classification schemes often fail to capture the complexity and diversity of modern threats. To address this gap, we introduce STRIKE,a Structured Taxonom...

Toward Securing AI Agents like Operating Systems

Autonomous agents based on large language models LLMs are rapidly emerging as a general-purpose technology, with recent systems such as OpenClaw extending their capabilities through broad tool use, third-party skills, and deeper integration into user environments. At the same time, these agentic...

Accelerating detection engineering using AI-assisted synthetic attack logs generation

In this article 1. Core Idea: From TTPs to Logs 2. Approaches for Synthetic Attack Log Generation 3. Evaluation Datasets 4. References 5. Learn more Logs and telemetry are the foundation of modern cybersecurity. They enable threat detection, incident response, forensic investigation, and complian...

Malicious code in python-bittensor-config-v2 (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 6f2ecdbc9e024d6dc51c8e5d48941c5aac432db65ad733317aed159d480973cd During installation or import, package silently adds a new authorized SSH key. It's closely related to the 2026-05-ninja-core-utils campaign, but there is no...

EUVD-2026-28855

FastGPT is an AI Agent building platform. In versions 4.14.11 and prior, FastGPT's isInternalAddress function in packages/service/common/system/utils.ts blocks cloud metadata endpoints using a fullUrl.startsWith check against a hardcoded list. This check can be bypassed using at least 7 different...

01-Pentesting-and-Offensive-Security

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Age Verification in the Web -- Holy Grail to Control Access to Restricted Content

Age verification before accessing restricted content is critical to protecting minors from exposure to harmful material such as pornography, gambling, violence, hateful speech, and substance purchases like alcohol and tobacco. Currently, the absence of reliable age-checking mechanisms allows...

Internet of Things Security: A Survey on Common Attacks

The exponential growth of the Internet of Things IoT has integrated connected devices into various sectors like smart cities, digital health, and Industry 4.0, generating vast amounts of real-time data to support intelligent decision-making. However, this widespread adoption is fundamentally...

“Legitimate” phishing: how attackers weaponize Amazon SES to bypass email security

Introduction The primary goal for attackers in a phishing campaign is to bypass email security and trick the potential victim into revealing their data. To achieve this, scammers employ a wide range of tactics, from redirect links to QR codes. Additionally, they heavily rely on legitimate sources...

OWASP-Pentest-Suite

OWASP Web Application Penetration Testing University of t...

Integrating Log-Based Security Analytics in Agile Workflows: A Real-World Experience Report

Modern organizations increasingly rely on log data and monitoring signals to protect products against account takeovers and abuse, yet integrating security analytics into fast-moving Agile workflows remains challenging. While it is important to understand how security practices are developed and...

xss

CSS Style Sheet Mutation alert"This is a test" alert"...

SMSI: System Model Security Inference: Automated Threat Modeling for Cyber-Physical Systems

Threat modeling for cyber-physical systems CPS remains a largely manual exercise. This project presents SMSI System Model Security Inference, a hybrid neuro-symbolic pipeline that starts from a SysML architecture model and produces a prioritized list of NIST 800-53 security controls. The prototyp...

Safeguarding Skies: Airport Cybersecurity in the Digital Age

The aviation industry faces significant vulnerabilities from both physical and cybersecurity threats, highlighting the urgent need for enhanced cybersecurity measures amid increasingly sophisticated attacks. This paper systematically reviews emerging threats at airports, analyzing real-world...

MAL-2026-3002 Malicious code in lyrox (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 a758a1be229d0656a639cd9e76cb14b3224260a08da87b6de28ff2bc4c1d48ba Heavy obfuscate code for extracting further obfuscate binaries and executing them using file less techniques. Some versions contain the executable embedded,...

Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps

We introduce the Cyber Defense Benchmark, a benchmark for measuring how well large language model LLM agents perform the core SOC analyst task of threat hunting: given a database of raw Windows event logs with no guided questions or hints, identify the exact timestamps of malicious events. The...

exploit_kernel

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