RAS-Eval: a Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments

The rapid deployment of Large language model LLM agents in critical domains like healthcare and finance necessitates robust security frameworks. To address the absence of standardized evaluation benchmarks for these agents in dynamic environments, we introduce RAS-Eval, a comprehensive security...

TOTOLINK多款产品 安全漏洞

TOTOLINK A3002RU and others are products of China Gion Electronics TOTOLINK.TOTOLINK A3002RU is a wireless router product.TOTOLINK A702r is a router device.TOTOLINK A3002R is a wireless router. A security vulnerability exists in several TOTOLINK products, which stems from a buffer overflow due to...

Weakest Link in the Chain: Security Vulnerabilities in Advanced Reasoning Models

The introduction of advanced reasoning capabilities have improved the problem-solving performance of large language models, particularly on math and coding benchmarks. However, it remains unclear whether these reasoning models are more or less vulnerable to adversarial prompt attacks than their...

Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models

Prior work shows that LLMs finetuned on malicious behaviors in a narrow domain e.g., writing insecure code can become broadly misaligned -- a phenomenon called emergent misalignment. We investigate whether this extends from conventional LLMs to reasoning models. We finetune reasoning models on...

CipherMind: the Longest Codebook in the World

In recent years, the widespread application of large language models has inspired us to consider using inference for communication encryption. We therefore propose CipherMind, which utilizes intermediate results from deterministic fine-tuning of large model inferences as transmission content. The...

From LLMs to MLLMs to Agents: a Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem

Large language models LLMs are rapidly evolving from single-modal systems to multimodal LLMs and intelligent agents, significantly expanding their capabilities while introducing increasingly severe security risks. This paper presents a systematic survey of the growing complexity of jailbreak...

Detecting Hard-Coded Credentials in Software Repositories Via LLMs

Software developers frequently hard-code credentials such as passwords, generic secrets, private keys, and generic tokens in software repositories, even though it is strictly advised against due to the severe threat to the security of the software. These credentials create attack surfaces...

LLM-Powered Intent-Based Categorization of Phishing Emails

Phishing attacks remain a significant threat to modern cybersecurity, as they successfully deceive both humans and the defense mechanisms intended to protect them. Traditional detection systems primarily focus on email metadata that users cannot see in their inboxes. Additionally, these systems...

A Comprehensive Survey on Underwater Acoustic Target Positioning and Tracking: Progress, Challenges, and Perspectives

Underwater target tracking technology plays a pivotal role in marine resource exploration, environmental monitoring, and national defense security. Given that acoustic waves represent an effective medium for long-distance transmission in aquatic environments, underwater acoustic target tracking h...

Don't Throw the Baby out with the Bathwater: How and Why Deep Learning for ARC

The Abstraction and Reasoning Corpus ARC-AGI presents a formidable challenge for AI systems. Despite the typically low performance on ARC, the deep learning paradigm remains the most effective known strategy for generating skillful state-of-the-art neural networks NN across varied modalities and...

International Security Applications of Flexible Hardware-Enabled Guarantees

As AI capabilities advance rapidly, flexible hardware-enabled guarantees flexHEGs offer opportunities to address international security challenges through comprehensive governance frameworks. This report examines how flexHEGs could enable internationally trustworthy AI governance by establishing...

LASA: Enhancing SoC Security Verification with LLM-Aided Property Generation

Ensuring the security of modern System-on-Chip SoC designs poses significant challenges due to increasing complexity and distributed assets across the intellectual property IP blocks. Formal property verification FPV provides the capability to model and validate design behaviors through security...

CVE-2025-34021 Selea Targa IP OCR-ANPR Camera Server-Side Request Forgery

A server-side request forgery SSRF vulnerability exists in multiple Selea Targa IP OCR-ANPR camera models, including iZero, Targa 512, Targa 504, Targa Semplice, Targa 704 TKM, Targa 805, Targa 710 INOX, Targa 750, and Targa 704 ILB. The application fails to validate user-supplied input in JSON...

CVE-2025-48059

PowSyBl Core contains a polynomial Regular Expression Denial of Service (ReDoS) in the RegexCriterion class used by powsybl-iidm-criteria (versions 6.3.0–6.7.1 and powsybl-contingency-api 5.0.0–6.3.0). The vulnerability arises from unvalidated user-supplied regex patterns compiled and evaluated a...

Global Microprocessor Correctness in the Presence of Transient Execution

Correctness for microprocessors is generally understood to be conformance with the associated instruction set architecture ISA. This is the basis for one of the most important abstractions in computer science, allowing hardware designers to develop highly-optimized processors that are functionall...

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset

We investigate the contents of web-scraped data for training AI systems, at sizes where human dataset curators and compilers no longer manually annotate every sample. Building off of prior privacy concerns in machine learning models, we ask: What are the legal privacy implications of web-scraped...

Towards Effective Complementary Security Analysis Using Large Language Models

A key challenge in security analysis is the manual evaluation of potential security weaknesses generated by static application security testing SAST tools. Numerous false positives FPs in these reports reduce the effectiveness of security analysis. We propose using Large Language Models LLMs to...

H3C多款产品 安全漏洞

H3C ER2200G2 and others are products of China's Xinhua San H3C.H3C ER2200G2 is an enterprise router.H3C ERG2-450W is a wireless router.H3C ERG2-1200W is a wireless router. A security vulnerability exists in various H3C products that stems from authentication bypass and could lead to remote comman...

Selea多款产品 安全漏洞

Selea Targa iZero and others are an optical character recognition camera for automatic license plate recognition from Selea, Italy. A security vulnerability exists in several Selea products, which stems from the /common/getfile.php script that does not validate the file parameter, potentially...

SmartGuard: Leveraging Large Language Models for Network Attack Detection through Audit Log Analysis and Summarization

End-point monitoring solutions are widely deployed in today's enterprise environments to support advanced attack detection and investigation. These monitors continuously record system-level activities as audit logs and provide deep visibility into security events. Unfortunately, existing methods ...