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AI security incident: CVE-2026-10564 (NVD)

Source disclosure: June 30, 2026 | Published on Radar: October 13, 2026 | Source: NVD | Classification confidence: 70%

Source disclosure is when the advisory appeared in this source (or was added to a catalog), not a confirmed date of exploitation. Radar publication is when this page became available.

This incident is part of the public archive. AI-specific signals are limited in the current source material, so source citations should be reviewed closely during triage. Review methodology.

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.

Why This Is AI-Related

This advisory is part of the public incident archive, but the current source material uses limited explicit AI terminology, so the cited sources should be reviewed carefully when judging AI relevance and exposure.

  • Explicit AI-specific signals are limited in the current source material, so use the cited advisory to validate scope during triage.

Affected Workflow

Review connectors, retrieval plugins, webhook targets, file access paths, and outbound network policies around AI services.

Likely Attack Path

The flaw creates an unauthorized path to fetch, read, or exfiltrate sensitive data from connected systems or local files.

Impact

The flaw can expose internal data, local files, or connected systems through AI workflow connectors and supporting services. Severity HIGH. Classification confidence 70%. Source channel NVD.

Detection And Triage Signals

  • Unexpected outbound requests from AI application components
  • Access to internal metadata endpoints, local files, or restricted datasets
  • Downloads or responses that contain internal documents, secrets, or embeddings

Recommended Response

  • Confirm whether the affected component can reach internal metadata, local files, or connected data stores.
  • Restrict outbound requests and sensitive data access paths until a patch or mitigation is in place.
  • Inspect logs for unusual downloads, webhook calls, retrieval requests, or responses containing internal content.

Compliance And Business Impact

Data exposure creates direct confidentiality risk and can trigger incident notification, contractual, and regulatory obligations.

Sources

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