OpenClaw

Token Theft and AI Poisoning Redefine the Perimeter Attackers are shifting from breaking passwords to stealing active login sessions, bypassing multi-factor authentication entirely. This week, ARToken and ConsentFix exploited Microsoft 365 OAuth flows to hijack accounts, while Anubis ransomware used the ongoing CitrixBleed 2 vulnerability to steal session tokens from network gateways. Even a standard user can become a Global Administrator in minutes if identity settings are loose, as demonstrated by a recent M365 privilege escalation analysis. Simultaneously, artificial intelligence systems have evolved from helper tools to critical vulnerabilities, serving as both the weapon and the target. Threat actors are using AI to generate malware like InfernoGrabber v9.0 and BusySnake Stealer, while also poisoning AI agent ecosystems with malicious skills like OpenClaw and tricking AI models into executing financial fraud via indirect prompt injection. The AI arms race has accelerated breakout times to under 30 minutes, with state-sponsored groups like GTG-1002 now orchestrating entire espionage campaigns via AI. Defenders must immediately audit identity and session controls, treating session tokens as highly sensitive credentials. Security teams should also implement guardrails for AI agents, verifying external URLs and restricting autonomous financial or code execution actions.

OpenClaw, a widely adopted AI agent ecosystem with a skill marketplace called ClawHub, is being actively abused by attackers who publish malicious skills containing embedded shell commands or harmful natural-language instructions. Approximately 530 vulnerabilities have been discovered in OpenClaw and its underlying technologies, many involving sensitive data storage and excessive privileges. Kaspersky identified over 600 malicious skills from 24 accounts in April, with 1,100+ malicious accounts created since January. Malicious skills observed include macOS payloads using base64-encoded curl-pipe-to-bash execution and Windows MSI installers distributed via password-protected ZIP archives.

2026-06-246 minPalo Alto Networkshigh

Threat actors are exploiting the OpenClaw AI agent ecosystem by publishing malicious skills on the ClawHub marketplace. These skills leverage semantic instruction hijacking to bypass traditional security controls, delivering macOS infostealers via base64-encoded droppers, utilizing massive file padding for defense evasion, and executing novel agentic financial fraud schemes like runtime affiliate injection and front-running.

2026-06-095 minVaronishigh

Varonis Threat Labs demonstrated that enterprise AI agents, specifically an OpenClaw deployment, are vulnerable to traditional phishing and social engineering techniques. In simulated attacks, the agent successfully identified technical phishing indicators like malicious OAuth flows but failed to recognize social context, resulting in the exfiltration of AWS credentials and sensitive CRM data to an external attacker.

2026-06-036 minTrail of Bitshigh

Security researchers successfully bypassed multiple AI agent skill scanners, including ClawHub, Cisco's skill-scanner, and skills.sh integrations, using techniques like file truncation, embedded payloads, Python bytecode poisoning, and prompt injection. The findings highlight that automated scanning of AI agent skills is fundamentally flawed due to the complex mix of natural language, code, and limited scanner context windows, necessitating a shift towards curated, trusted skill repositories.

In Q1 2026, vulnerability registrations continued to rise, heavily influenced by AI-assisted discovery tools. Threat actors and APT groups actively exploited a mix of legacy and newly discovered vulnerabilities across Windows, Linux, and Microsoft Office, frequently utilizing C2 frameworks like Metasploit and Sliver to bypass authentication and gain initial access.

2026-05-136 minZscaler ThreatLabzhigh

Threat actors are exploiting the OpenClaw AI agent framework by publishing a deceptive 'DeepSeek-Claw' skill that distributes malware. The campaign utilizes malicious installation instructions to deploy Remcos RAT on Windows via DLL sideloading and GhostLoader on macOS/Linux via obfuscated Node.js scripts, enabling persistent access and data exfiltration.

2026-05-135 minSophosmedium

Sophos researchers successfully deployed the OpenClaw AI agent in a controlled red team engagement against a legacy on-prem network. By implementing strict safety guardrails and custom-built skills, the agent autonomously conducted Active Directory reconnaissance and exploitation, significantly reducing operational time while identifying 23 actionable security findings.

2026-05-135 minHuntresshigh

The rapid adoption of AI agents like OpenClaw has introduced a new identity threat surface in Microsoft cloud environments. These applications are often granted sweeping tenant-wide permissions, effectively acting as highly privileged service principals that bypass traditional endpoint defenses and could allow attackers to inherit administrative control if the agent is compromised.

2026-05-134 minAkamaihigh

Anthropic's new 'Agent Skills' feature, which uses progressive disclosure to manage AI agent context windows, introduces a novel attack surface. The article outlines the top 10 critical threats to this ecosystem, including prompt injection, supply chain manipulation, and unauthorized code execution, highlighted by the recent OpenClaw malware incident.

2026-05-134 minAkamaihigh

The proliferation of autonomous AI agents like OpenClaw has introduced severe security risks, including unauthorized data access and silent exfiltration via prompt injection and malicious plug-ins. To mitigate these threats, organizations must transition from local agent deployments to hardened, isolated cloud environments utilizing defense-in-depth strategies such as kernel-level eBPF monitoring and runtime prompt interception.

2026-05-134 minSockethigh

The rapid proliferation of GitHub Security Advisories (GHSAs) for the OpenClaw AI agent has highlighted a significant gap in vulnerability tracking, as many GHSAs lack corresponding CVE identifiers. This discrepancy creates critical blind spots for enterprise security tools that rely exclusively on CVEs, prompting debate over the future of decentralized vulnerability disclosure and the need for multi-source advisory tracking.

AI Rush Opens New Attack Paths as Trusted Cloud Services Fuel Phishing The rush to adopt artificial intelligence is giving attackers two new advantages: convincing lures to trick users and poorly secured infrastructure to exploit. This week, multiple campaigns used fake websites for the Claude AI assistant to infect victims with password-stealing malware, while researchers revealed that commercial robots and AI connection protocols contain critical flaws that let hackers hijack them. Because organizations are deploying AI tools faster than they can secure them, attackers are finding easy entry points into corporate networks. In parallel, phishing campaigns are increasingly hijacking trusted cloud services like Amazon's email platform and Vercel's AI-powered website builder to send messages that bypass security filters entirely. A massive campaign targeting US employees used fake HR reviews to steal login sessions even when multi-factor authentication was enabled, and the breach of the Canvas learning platform exposed data on 275 million people that can now be used for highly convincing follow-up scams. These trends together suggest that traditional defenses are losing effectiveness because attackers are hiding inside the systems we already trust. Organizations should immediately patch the actively exploited Palo Alto Networks and Ivanti vulnerabilities flagged by CISA this week, require phishing-resistant authentication methods, and treat every AI tool and robot connected to their network as a high-risk device that needs strict monitoring.