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Browse by hub: AI agent threats · Conventional watchlist · OWASP Agentic Top 10
Showing 6 of 26 threats
nono, a sandboxing framework for running AI agents with reduced privileges, failed to block access to local Unix domain sockets prior to version 0.55.0. This allowed a sandboxed AI agent to reach the per-user systemd D-Bus socket and escape the intended isolation boundary, potentially gaining broader system access than intended. Users should upgrade to 0.55.0 immediately.
Langflow, an open-source framework used to build AI agent workflows, contains a server-side request forgery vulnerability caused by weak default configuration and incomplete SSRF protections. An attacker could exploit this to make the Langflow server issue unauthorized requests to internal or cloud-metadata endpoints, potentially exposing sensitive infrastructure or credentials. This is a genuine, credibly documented vulnerability (CVSS 7.7) rather than a speculative or low-quality report.
IBM Langflow, an open-source visual builder for AI agent workflows, contains a path traversal flaw where a malicious flow can fetch attacker-controlled content and write it to arbitrary paths on the server via a crafted Content-Disposition header. An authenticated attacker can abuse this to overwrite configuration, code, or scheduled/startup files, likely leading to full compromise of the Langflow instance. This is a serious framework-level vulnerability requiring only low-privilege authenticated access.
LangChain4j's MariaDB and pgvector embedding store integrations build SQL queries by unsafely concatenating metadata filter keys (and MariaDB string values) into query strings, allowing an attacker who controls filter input to inject SQL. This can lead to blind data exfiltration, denial of service, and mass deletion of vector store data via crafted EmbeddingSearchRequest filters.
CISA added three actively exploited vulnerabilities to its Known Exploited Vulnerabilities catalog, including CVE-2026-55255, an authorization bypass in Langflow, a popular framework for building AI/LLM agent workflows. This is relevant to AI agent security because Langflow is used to construct agentic pipelines, and an authorization bypass could let attackers manipulate or hijack agent flows, credentials, or connected tools. The other two CVEs (JoomShaper and Joomlack) are unrelated CMS plugin vulnerabilities with no agentic relevance.
This is an academic research paper (not an active exploit) introducing SafeClawArena, a benchmark that systematically measures security failures in always-on 'Claw-like' agents such as OpenClaw, which hold persistent credentials, files, and tool access. The findings show alarmingly high attack success rates (up to 70%, and 100% for malicious plugins), indicating that current agent platforms lack the isolation and mediation protections found in traditional OS design. Because this is a controlled research disclosure rather than an in-the-wild attack, severity is rated high (not critical) but warrants urgent defensive attention given the demonstrated real-world exploitability.