Federal cybersecurity regulators have added an actively exploited vulnerability in an artificial intelligence development framework to the Known Exploited Vulnerabilities catalog. The flaw allows unauthenticated remote actors to manipulate component parameters to execute arbitrary code inside hosting environments.
The vulnerability, tracked as CVE-2026-0770, affects the Langflow visual framework used for building autonomous AI agent workflows. Attackers exploit an inclusion of functionality from an untrusted control sphere defect to submit custom request blocks. Attack telemetry shows threat actors executing commands to read system files, collect cloud environment variables, and download second-stage malware payloads onto AI server hosts.
Subverting artificial intelligence orchestration nodes creates severe security exposure across corporate cloud environments. Because AI orchestration tools hold persistent API tokens and direct read access to corporate knowledge bases, an unauthenticated host takeover lets adversaries exfiltrate enterprise intellectual property and compromise connected cloud infrastructure.
– Upgrade Langflow application deployments to the latest patched software releases immediately.
– Isolate AI development frameworks behind strict network segmentation controls requiring zero trust authentication.
– Rotate all cloud access tokens and API keys stored or processed within the AI agent orchestration pipeline.
– Align remediation schedules with federal operational directives under BOD 26-04 requirements.
Artificial intelligence system resilience depends on maintaining rigid control sphere boundaries to guarantee that automated agent frameworks remain fully shielded from untrusted script injection. #CodeDefence #Langflow #AISecurity #CISA #KEV #RCE #CloudSecurity
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