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CVE-2026-56673 – Unauthenticated Path Traversal (Arbitrary File Read) – ComfyUI prior to 0.28.0

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Summary

CVE-2026-56673 is an unauthenticated path traversal vulnerability in ComfyUI prior to version 0.28.0. The flaw lets a remote attacker craft a workflow that probes arbitrary host paths and exfiltrates image-format files, resulting in disclosure of sensitive files. It carries a CVSS v3.1 base score of 7.5 (High).

Technical details

  • Root cause: The functions folder_paths.get_annotated_filepath and exists_annotated_filepath join workflow-controlled annotated filenames to a base directory without a containment check (CWE-22: Improper Limitation of a Pathname to a Restricted Directory).
  • Trigger conditions: The LoadImage node defines a VALIDATE_INPUTS method, which causes the execution engine to skip the standard COMBO (input-directory) validation, bypassing directory containment enforcement.
  • Attack vector: Network — an unauthenticated attacker sends a crafted POST /prompt workflow using LoadImage or sibling nodes (LoadImageMask, LoadImageOutput, LoadAudio, LoadLatent, LoadVideo, Load3D).
  • Impact: Arbitrary host-path probing and exfiltration of image-decodable files through the /view endpoint. High confidentiality impact; no integrity or availability impact.

Affected software

  • ComfyUI (Comfy-Org) — all versions prior to 0.28.0.

Severity

  • CVSS v3.1 base score: 7.5 (High)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Mitigation and recommended actions

  • Immediate: Upgrade to ComfyUI version 0.28.0 or later, which contains the fix.
  • If no patch can be applied: Restrict network access to the ComfyUI interface and API; do not expose the /prompt and /view endpoints to untrusted networks, and place the service behind authentication and network segmentation.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Raw HTTP response body: aria-label="Loading ComfyUI"
  • Favicon fingerprint: 316510273, 1554526046

References

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Map your entire attack surface (continously)

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Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

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Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

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IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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