CVE-2026-44513 (GCVE-0-2026-44513)

Vulnerability from cvelistv5 – Published: 2026-05-14 16:26 – Updated: 2026-08-28 12:04
VLAI
Title
Diffusers: `trust_remote_code` bypass via `custom_pipeline` and local custom components
Summary
Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, a trust_remote_code bypass in DiffusionPipeline.from_pretrained allows arbitrary remote code execution despite the user passing trust_remote_code=False (or omitting it, which is the default). The vulnerability has three variants, all sharing the same root cause — the trust_remote_code gate was implemented inside DiffusionPipeline.download() rather than at the actual dynamic-module load site, so any code path that bypassed or short-circuited download() also bypassed the security check. DiffusionPipeline.from_pretrained('repoA', custom_pipeline='attacker/repoB', trust_remote_code=False) — the gate evaluated against repoA's file list rather than repoB's, so repoB's pipeline.py was loaded and executed. DiffusionPipeline.from_pretrained('/local/snapshot', custom_pipeline='attacker/repoB', trust_remote_code=False) — the local-path branch never invoked download(), so the gate was never reached and remote code from repoB executed. DiffusionPipeline.from_pretrained('/local/snapshot', trust_remote_code=False) where the snapshot contains custom component files (e.g. unet/my_unet_model.py) referenced from model_index.json — same root cause; the local path skipped download() and custom component code executed. This vulnerability is fixed in 0.38.0.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-14 17:38 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-358 - Improperly Implemented Security Check for Standard
Assigner
GitHub_M CNA under the mitre root
CNA scorecard C 72/100 over 8025 records in the last 180 days details
Impacted products
Vendor Product Version CPE status
huggingface diffusers Affected: < 0.38.0
guessed Create a notification for this product.
Red Hat Red Hat OpenShift AI 3.4 Unaffected: 1787077779 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.4::el9
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Red Hat Red Hat OpenShift AI 3.4 Unaffected: 1787076481 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.4::el9
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Red Hat Red Hat OpenShift AI 3.4 Unaffected: 1786611803 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.4::el9
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Red Hat Red Hat OpenShift AI 3.4 Unaffected: 1786611435 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.4::el9
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Red Hat Red Hat AI Inference Server     cpe:/a:redhat:ai_inference_server:3
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Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3     cpe:/a:redhat:enterprise_linux_ai:3
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Red Hat Red Hat OpenShift AI (RHOAI)     cpe:/a:redhat:openshift_ai
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Show details on NVD website

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                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 8.8,
                "baseSeverity": "HIGH",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "HIGH",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "REQUIRED",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
                "version": "3.1"
              }
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-94",
                  "description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2026-05-14T16:26:03.907Z",
            "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
            "shortName": "GitHub_M"
          },
          "references": [
            {
              "name": "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v",
              "tags": [
                "x_refsource_CONFIRM"
              ],
              "url": "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v"
            }
          ],
          "source": {
            "advisory": "GHSA-98h9-4798-4q5v",
            "discovery": "UNKNOWN"
          },
          "title": "Diffusers: `trust_remote_code` bypass via `custom_pipeline` and local custom components"
        }
      },
      "cveMetadata": {
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "assignerShortName": "GitHub_M",
        "cveId": "CVE-2026-44513",
        "datePublished": "2026-05-14T16:26:03.907Z",
        "dateReserved": "2026-05-06T18:28:20.887Z",
        "dateUpdated": "2026-08-28T12:04:31.466Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Events included in the timeline

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    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.