JIZHICMS（极致CMS） 安全漏洞

JIZHICMS is an open-source content management system developed by JIZHI Corporation in China. Version 2.5.4 of JIZHICMS contains a security vulnerability, which stems from server-side request forgeing vulnerabilities in the User Evaluation, Message, and Comment modules...

CVE-2025-50228

Jizhicms v2.5.4 is vulnerable to Server-Side Request Forgery SSRF in User Evaluation, Message, and Comment modules...

CVE-2025-50228

Jizhicms v2.5.4 is vulnerable to Server-Side Request Forgery SSRF in User Evaluation, Message, and Comment modules...

CVE-2025-50228

Jizhicms v2.5.4 is vulnerable to Server-Side Request Forgery SSRF in User Evaluation, Message, and Comment modules...

PT-2026-31615

Jizhicms v2.5.4 is vulnerable to Server-Side Request Forgery SSRF in User Evaluation, Message, and Comment modules...

CVE-2025-50228

CVE-2025-50228 affects Jizhicms v2.5.4. Multiple connected sources describe a vulnerability classified as Server-Side Request Forgery (SSRF) in the User Evaluation, Message, and Comment modules. The primary CVE notes a high-severity impact (CVSS v3.1: 9.1, CRITICAL) with network access, no user i...

CVE-2025-50228

Jizhicms v2.5.4 is vulnerable to Server-Side Request Forgery SSRF in User Evaluation, Message, and Comment modules...

CVE-2026-40032

UAC Unix-like Artifacts Collector before 3.3.0-rc1 contains a command injection vulnerability in the placeholder substitution and command execution pipeline where the runcommand function passes constructed command strings directly to eval without proper sanitization. Attackers can inject shell...

SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems

Skill-based agent systems tackle complex tasks by composing reusable skills, improving modularity and scalability while introducing a largely unexamined security attack surface. We propose SkillTrojan, a backdoor attack that targets skill implementations rather than model parameters or training...

Unity Linux 20.1050e Security Update: kernel (UTSA-2026-006724)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-006724 advisory. In the Linux kernel, the following vulnerability has been resolved: netfilter: nftables: disallow anonymous set with timeout flag Anonymous sets are never used with...

CVE-2026-22666 Dolibarr ERP/CRM < 23.0.2 Authenticated RCE via dol_eval_standard()

Dolibarr ERP/CRM versions prior to 23.0.2 contain an authenticated remote code execution vulnerability in the dolevalstandard function that fails to apply forbidden string checks in whitelist mode and does not detect PHP dynamic callable syntax. Attackers with administrator privileges can inject...

CVE-2026-22666 Dolibarr ERP/CRM < 23.0.2 Authenticated RCE via dol_eval_standard()

Dolibarr ERP/CRM versions prior to 23.0.2 contain an authenticated remote code execution vulnerability in the dolevalstandard function that fails to apply forbidden string checks in whitelist mode and does not detect PHP dynamic callable syntax. Attackers with administrator privileges can inject...

Benchmarking-Agent-Architectures

Benchmarking Agent Architectures for LLM-Based Exploit Gener...

From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems

Cyber-physical systems often contend with incomplete architectural documentation or outdated information resulting from legacy technologies, knowledge management gaps, and the complexity of integrating diverse subsystems over extended operational lifecycles. This architectural incompleteness...

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments

The advancement of Large Language Models LLMs has raised concerns regarding their dual-use potential in cybersecurity. Existing evaluation frameworks overwhelmingly focus on Information Technology IT environments, failing to capture the constraints, and specialized protocols of Operational...

Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts

The deployment of large language models LLMs in Swiss financial and regulatory contexts demands empirical evidence of both production reliability and adversarial security, dimensions not jointly operationalized in existing Swiss-focused evaluation frameworks. This paper introduces Swiss-Bench 003...

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing

The rapid advancement of Large Language Models LLMs has created new opportunities for Automated Penetration Testing AutoPT, spawning numerous frameworks aimed at achieving end-to-end autonomous attacks. However, despite the proliferation of related studies, existing research generally lacks...

WebSP-Eval: Evaluating Web Agents on Website Security and Privacy Tasks

Web agents automate browser tasks, ranging from simple form completion to complex workflows like ordering groceries. While current benchmarks evaluate general-purpose performancee.g., WebArena or safety against malicious actionse.g., SafeArena, no existing framework assesses an agent's ability to...

Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw

OpenClaw, the most widely deployed personal AI agent in early 2026, operates with full local system access and integrates with sensitive services such as Gmail, Stripe, and the filesystem. While these broad privileges enable high levels of automation and powerful personalization, they also expose...

CVE-2019-25687

Pegasus CMS 1.0 contains a remote code execution vulnerability in the extrafields.php plugin that allows unauthenticated attackers to execute arbitrary commands by exploiting unsafe eval functionality. Attackers can send POST requests to the submit.php endpoint with malicious PHP code in the acti...