A Large Scale Study of AI-Based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners

Binary Function Similarity Detection BFSD is a foundational technique in software security, underpinning a wide range of applications including vulnerability detection, malware analysis. Recent advances in AI-based BFSD tools have led to significant performance improvements. However, existing...

Eval Injection

Overview talkpipe is a Python internal and external DSL for writing generative AI analytics Affected versions of this package are vulnerable to Eval Injection due to using the function eval unsafe in the compileLambda function in the talkpipe/util/datamanipulation.py file. An attacker can execute...

Exploit for Eval Injection in Xwiki

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CVE-2025-40098

CVE-2025-40098 affects the Linux kernel ALSA HDA driver for cs35l41. The issue is a NULL pointer dereference: acpi_evaluate_dsm() may return NULL and is dereferenced without a NULL check, risking a crash. The advisory notes this was fixed by adding a NULL check in cs35l41_get_acpi_mute_state() (a...

LLM-Based Multi-Class Attack Analysis and Mitigation Framework in IoT/IIoT Networks

The Internet of Things has expanded rapidly, transforming communication and operations across industries but also increasing the attack surface and security breaches. Artificial Intelligence plays a key role in securing IoT, enabling attack detection, attack behavior analysis, and mitigation...

A Comprehensive Evaluation and Practice of System Penetration Testing

With the rapid advancement of information technology, the complexity of applications continues to increase, and the cybersecurity challenges we face are also escalating. This paper aims to investigate the methods and practices of system security penetration testing, exploring how to enhance syste...

APThreatHunter: An Automated Planning-Based Threat Hunting Framework

Cyber attacks threaten economic interests, critical infrastructure, and public health and safety. To counter this, entities adopt cyber threat hunting, a proactive approach that involves formulating hypotheses and searching for attack patterns within organisational networks. Automating cyber thre...

SUSE CVE-2025-12198

REJECT DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was withdrawn by its CNA. Further investigation showed that it was not a security issue. Notes: Based on the analysis by MITRE and review of community feedback, the reported conditions represent expected and...

UBUNTU-CVE-2025-12198

Rejected reason: REJECT DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was withdrawn by its CNA. Further investigation showed that it was not a security issue. Notes: Based on the analysis by MITRE and review of community feedback, the reported conditions represent...

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges

Agentic AI systems powered by large language models LLMs and endowed with planning, tool use, memory, and autonomy, are emerging as powerful, flexible platforms for automation. Their ability to autonomously execute tasks across web, software, and physical environments creates new and amplified...

Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents

AI agents powered by large language models LLMs are being deployed at scale, yet we lack a systematic understanding of how the choice of backbone LLM affects agent security. The non-deterministic sequential nature of AI agents complicates security modeling, while the integration of traditional...

SecureLearn - an Attack-Agnostic Defense for Multiclass Machine Learning against Data Poisoning Attacks

Data poisoning attacks are a potential threat to machine learning ML models, aiming to manipulate training datasets to disrupt their performance. Existing defenses are mostly designed to mitigate specific poisoning attacks or are aligned with particular ML algorithms. Furthermore, most defenses a...

Expression Language Injection

Spring Cloud Gateway Server Webflux is vulnerable to Expression Language Injection. The vulnerability is due to unsafe SpEL evaluation in routes due to the actuator gateway endpoint being exposed and accessible to untrusted users; attackers can create routes that use SpEL to read environment...

Remote Code Execution (RCE)

Flowise is vulnerable to remote code execution RCE. The vulnerability is due to unsanitized evaluation of user input in the “Supabase RPC Filter” field, which allows an attacker to execute arbitrary code on the affected system...

Jailbreak Mimicry: Automated Discovery of Narrative-Based Jailbreaks for Large Language Models

Large language models LLMs remain vulnerable to sophisticated prompt engineering attacks that exploit contextual framing to bypass safety mechanisms, posing significant risks in cybersecurity applications. We introduce Jailbreak Mimicry, a systematic methodology for training compact attacker mode...

The Qey: Implementation and Performance Study of Post Quantum Cryptography in FIDO2

Authentication systems have evolved a lot since the 1960s when Fernando Corbato first proposed the password-based authentication. In 2013, the FIDO Alliance proposed using secure hardware for authentication, thus marking a milestone in the passwordless authentication era 1. Passwordless...

Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses

Multimodal large language models MLLMs comprise of both visual and textual modalities to process vision language tasks. However, MLLMs are vulnerable to security-related issues, such as jailbreak attacks that alter the model's input to induce unauthorized or harmful responses. The incorporation o...

Security Bulletin: multiple vulerability in IBM Spectrum Symphony with Bouncy Castle Java TLS API

Summary multiple vulerability in IBM Spectrum Symphony with Bouncy Castle Java TLS API Vulnerability Details CVEID:CVE-2024-30172 DESCRIPTION: An issue was discovered in Bouncy Castle Java Cryptography APIs before 1.78. An Ed25519 verification code infinite loop can occur via a crafted signature...

CVE-2023-53708

In the Linux kernel, the following vulnerability has been resolved: ACPI: x86: s2idle: Catch multiple ACPITYPEPACKAGE objects If a badly constructed firmware includes multiple ACPITYPEPACKAGE objects while evaluating the AMD LPS0 DSM, there will be a memory leak. Explicitly guard against this...

Ask What Your Country Can Do for You: Towards a Public Red Teaming Model

AI systems have the potential to produce both benefits and harms, but without rigorous and ongoing adversarial evaluation, AI actors will struggle to assess the breadth and magnitude of the AI risk surface. Researchers from the field of systems design have developed several effective sociotechnic...