IBM's agentic AI platform is under active attack - patch now
A critical Langflow flaw allowing RCE on default deployments is being exploited, says the CISA
security
IBM's agentic AI platform is under active attack - patch now
A critical Langflow flaw allowing RCE on default deployments is being exploited, says the CISA
A critical vulnerability in IBM-owned, low-code AI builder Langflow lets unauthenticated attackers execute code remotely on vulnerable default deployments, potentially putting organizations running those instances at immediate risk.
The Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday added CVE-2026-9198 to its Known Exploited Vulnerabilities catalog after identifying evidence of active exploitation and urged organizations to apply the vendor's mitigation guidance as soon as possible. IBM says the flaw affects Langflow OSS versions 1.0.0 through 1.10.0 and recommends upgrading to version 1.10.1 or later; at the time of writing, the most recent version is 1.11.2.
Langflow, for those unfamiliar, is one of the more accessible AI agent builders on the market, as our hands-on look at the tool earlier this year demonstrated. It’s available on Linux, Windows, and macOS, and is basically an end-to-end, drag-and-drop GUI where users can construct agent workflows without having to know much, if anything, about the underlying code.
IBM owns the platform now, but Langflow was originally developed by Logspace, which was acquired by DataStax in 2024 before IBM scooped up DataStax, and Langflow with it, in 2025.
The acquisition of DataStax and its tools like Langflow by IBM paved the way for Langflow to be integrated into watsonx.ai, IBM’s AI development studio, as a piece of middleware extending watsonx.ai’s capabilities.
The ownership changes, however, didn't stop the critical flaw from making it into production releases before it was finally fixed.
According to IBM, the vulnerability affects default Langflow deployments and combines two issues that, when chained, allow an unauthenticated attacker to execute code remotely.
First, there’s the matter of an auto-login endpoint in default deployments that’s willing to mint superuser tokens to any network caller. Combine those easily obtained superuser rights with the second issue, a code validation endpoint that’ll run any old Python code thrown at it, and you’ve got a recipe for someone taking over your entire Langflow server, or worse.
The CVE itself was published on July 17, meaning that it hasn’t taken long for bad actors to realize what they could do with RCE on any system hosting a default Langflow deployment with auto login enabled and that code validation endpoint left accessible on a network.
Langflow itself isn’t a vibe-coding platform, instead serving as an interface for building agentic and RAG workflows, so don’t blame vibe coding or no-code security failures for this one. Instead, what we appear to have is a standard case of how default configuration deployments can easily be a disaster.
It’s unknown how extensively exploited this vulnerability is; we’ve reached out to IBM to learn more. ®
Originally published on The Register


