CVE-2026-44999

OpenClaw before 2026.4.20 fails to properly preserve untrusted labels for isolated cron awareness events, allowing webhook-triggered cron agent output to be recorded as trusted system events. Attackers can exploit this trust-labeling issue to strengthen prompt-injection attacks by rendering...

CVE-2026-44999

OpenClaw CVE-2026-44999 affects the OpenClaw component prior to version 2026.4.20. The issue is a trust-labeling flaw for isolated cron awareness events: untrusted labels can be preserved for webhook-triggered cron agent output, causing such output to be recorded as trusted System events. This ca...

CVE-2026-44999 OpenClaw < 2026.4.20 - Improper Trust Labeling in Isolated Cron Awareness Events

OpenClaw before 2026.4.20 fails to properly preserve untrusted labels for isolated cron awareness events, allowing webhook-triggered cron agent output to be recorded as trusted system events. Attackers can exploit this trust-labeling issue to strengthen prompt-injection attacks by rendering...

CVE-2026-44999 OpenClaw < 2026.4.20 - Improper Trust Labeling in Isolated Cron Awareness Events

OpenClaw before 2026.4.20 fails to properly preserve untrusted labels for isolated cron awareness events, allowing webhook-triggered cron agent output to be recorded as trusted system events. Attackers can exploit this trust-labeling issue to strengthen prompt-injection attacks by rendering...

Guaranteed Jailbreaking Defense Via Disrupt-And-Rectify Smoothing

This paper proposes a guaranteed defense method for large language models LLMs to safeguard against jailbreaking attacks. Drawing inspiration from the denoised-smoothing approach in the adversarial defense domain, we propose a novel smoothing-based defense method, termed Disrupt-and-Rectify...

When Prompts Become Payloads: A Framework for Mitigating SQL Injection Attacks in Large Language Model-Driven Applications

Natural language interfaces to structured databases are becoming increasingly common, largely due to advances in large language models LLMs that enable users to query data using conversational input rather than formal query languages such as SQL. While this paradigm significantly improves usabili...

OpenClaw 数据伪造问题漏洞

OpenClaw is an open-source intelligent artificial assistant developed by OpenClaw. Versions of OpenClaw prior to 2026.4.20 had a data falsification vulnerability. This vulnerability stemmed from the failure to properly retain the non-trustworthy tags associated with isolated cron events, allowing...

PT-2026-42633

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-57r2-h2wj-g887. This link is maintained to preserve external references. Original Description OpenClaw before 2026.4.20 fails to properly preserve untrusted labels for isolated cron awareness events, allowing...

CVE-2026-45001: Missing Authorization

OpenClaw before 2026.4.20 contains a guard bypass vulnerability in the agent-facing gateway config.patch and config.apply endpoints that fails to protect operator-trusted settings including sandbox policy, plugin enablement, gateway auth/TLS, hook routing, MCP server configuration, SSRF policy, a...

PT-2026-39690

OpenClaw before 2026.4.20 contains a guard bypass vulnerability in the agent-facing gateway config.patch and config.apply endpoints that fails to protect operator-trusted settings including sandbox policy, plugin enablement, gateway auth/TLS, hook routing, MCP server configuration, SSRF policy, a...

PT-2026-39688

OpenClaw before 2026.4.20 fails to properly preserve untrusted labels for isolated cron awareness events, allowing webhook-triggered cron agent output to be recorded as trusted system events. Attackers can exploit this trust-labeling issue to strengthen prompt-injection attacks by rendering...

CVE-2026-44999: Insufficient Verification of Data Authenticity

OpenClaw before 2026.4.20 fails to properly preserve untrusted labels for isolated cron awareness events, allowing webhook-triggered cron agent output to be recorded as trusted system events. Attackers can exploit this trust-labeling issue to strengthen prompt-injection attacks by rendering...

PT-2026-39828

This issue was addressed by adding an additional prompt for user consent. This issue is fixed in iOS 18.7.9 and iPadOS 18.7.9, iOS 26.5 and iPadOS 26.5, macOS Sequoia 15.7.7, macOS Sonoma 14.8.7, macOS Tahoe 26.5, visionOS 26.5. An app may be able to access user-sensitive data...

Comment and Control: Hijacking Agentic Workflows Via Context-Grounded Evolution

Automation platforms such as GitHub Actions and n8n are increasingly adopting so-called agentic workflows, which integrate Large Language Model LLM agents for tasks such as code review and data synchronization. While bringing convenience for developers, this integration exposes a new risk: An...

OpenClaw 安全漏洞

OpenClaw is an open-source intelligent artificial assistant developed by OpenClaw. Versions of OpenClaw prior to 2026.4.20 contained security vulnerabilities. These vulnerabilities stemmed from security bypasses in the proxy’s config.patch and config.apply endpoints, which failed to protect...

AgentShield: Deception-Based Compromise Detection for Tool-Using LLM Agents

Defenses against indirect prompt injection IPI in tool-using LLM agents share two structural weaknesses. First, they all attempt to prevent attacks rather than detect the compromises that slip through. Second, they have only been evaluated in English, leaving users of low-resource languages such ...

PT-2026-41189

Name of the Vulnerable Software and Affected Versions Open WebUI versions prior to 0.9.5 Description An issue exists in the self-hosted artificial intelligence platform where users can access the system prompt of a model they do not own if a group has been granted read access. This allows for...

PT-2026-41181

Name of the Vulnerable Software and Affected Versions Open WebUI versions prior to 0.8.9 Description When a non-administrative user logs into the application, a web request to the '/api/models?' endpoint is initiated. The response from this request reveals the system prompts of available models...

Remote Code Execution (RCE)

LiteLLM is vulnerable to Remote Code Execution RCE. The vulnerability is due to unsafe rendering of user-supplied prompt templates in the POST /prompts/test endpoint without sandboxing, allowing authenticated users to execute arbitrary code within the LiteLLM Proxy process and potentially access...

MT-JailBench: A Modular Benchmark for Understanding Multi-Turn Jailbreak Attacks

Multi-turn jailbreaks exploit the ability of large language models to accumulate and act on conversational context. Instead of stating a harmful request directly, an attacker can gradually steer the conversation toward an unsafe answer. Recent methods demonstrate this risk, but they are usually...