CVE-2026-10564

Affects: prompt injection

CVSS: HIGH · 8.2v3.1
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N
Published: 2026-06-30
Weakness: CWE-918
Source: nvd.nist.gov/vuln/detail/CVE-2026-10564

Description

IBM Langflow OSS 1.0.0 through 1.9.6 contains a Server-Side Request Forgery (SSRF). The legacy RSSReaderComponent in rss.py and SearXNG component in searxng.py make unvalidated HTTP requests to user-controlled URLs, bypassing SSRF protections introduced in version 1.9.3. An authenticated attacker can exploit this to access internal resources including cloud metadata services (AWS/Azure/GCP IMDS), potentially exfiltrating IAM credentials and enumerating internal networks. The vulnerability can also be triggered through prompt injection in agentic workflows due to tool_mode=True exposure.

References

https://www.ibm.com/support/pages/node/7277995

How GTK Cyber trains on this

AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2026-10564 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.

AI Red-Teaming course →·Browse MITRE ATLAS techniques

Related AI/LLM CVEs

AI security training, taught by people who do the work.

Hands-on courses on adversarial AI, prompt injection, and ML pipeline security.

Explore AI Red-Teaming