CVE-2026-34486

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has warned federal agencies of active exploitation of three critical vulnerabilities in IBM Langflow, N-able N-central, and Apache Tomcat. The Langflow flaw (CVE-2026-9198) allows unauthenticated remote code execution by chaining API endpoints, with proof-of-concept exploits publicly available. A second Langflow vulnerability (CVE-2026-0770) is also being exploited for root-level remote code execution. The N-central vulnerability (CVE-2026-18576) enables attackers to hijack administrative accounts without authentication, despite prior patching attempts. The Apache Tomcat flaw (CVE-2026-34486), stemming from an incomplete fix for a prior encryption issue, is being exploited by a Chinese-speaking threat actor to deploy reverse shells. CISA has added all three CVEs to its Known Exploited Vulnerabilities catalog and mandated mitigation within three days.

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has added three vulnerabilities to its Known Exploited Vulnerabilities (KEV) catalog due to active exploitation. These include a critical remote code execution flaw in Langflow (CVE-2026-9198), a sensitive data encryption bypass in Apache Tomcat (CVE-2026-34486), and an authentication bypass in N-able N-central (CVE-2026-18556 and CVE-2026-18577). Exploitation of CVE-2026-34486 has been linked to a Chinese-speaking threat actor using the aliases knaithe and KnYuan, who leveraged AI-powered offensive tools like DeepSeek via the Hermes Agent framework to autonomously target internet-exposed systems. The actor combined autonomous reconnaissance with manual exploitation of known vulnerabilities in Citrix NetScaler, Marimo, and IKE VPN, among others, targeting over 460 organizations.

A Chinese-speaking threat actor operating under the aliases knaithe and KnYuan has launched an AI-powered autonomous hacking campaign leveraging the Hermes Agent framework with DeepSeek as a reasoning engine to exploit seven critical vulnerabilities in Langflow, n8n, Citrix NetScaler, Apache Tomcat, Marimo Notebook, Palo Alto PAN-OS, and Microsoft Windows IKE Extensions. The campaign uses AI models to autonomously conduct vulnerability assessment, target selection, and exploit generation, with command and control coordinated via Telegram. The actor also leverages publicly available AI tools like Claude Code, Codex, and Qwen Code to support operations. When initial exploitation fails, the system automatically searches for new critical CVEs using GitHub PoCs to prioritize attack surfaces.

Unit 42 identified a Chinese-speaking threat actor operating under the aliases knaithe and KnYuan who conducted an AI-enabled autonomous cyberattack campaign. The actor used the Hermes Agent framework with DeepSeek as the reasoning engine to autonomously enumerate vulnerabilities, acquire exploit code, and launch attacks without human intervention. They targeted multiple vulnerabilities including CVE-2026-33017 in Langflow and chained CVEs in n8n (CVE-2026-21858 and CVE-2025-68613), though exploitation attempts failed due to configuration requirements. Manual operations successfully exploited CVE-2026-3055 in Citrix NetScaler, leading to confirmed data exfiltration. The campaign was exposed when the actor accidentally exposed their infrastructure via an HTTP file server.