CVE-2025-9905 (GCVE-0-2025-9905)

Vulnerability from cvelistv5 – Published: 2025-09-19 08:16 – Updated: 2026-02-26 17:48
VLAI
Title
Arbitary Code execution in Keras load_model()
Summary
The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True. One can create a specially crafted .h5/.hdf5 model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed. This is achieved by crafting a special .h5 archive file that uses the Lambda layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True option is not honored when reading .h5 archives. Note that the .h5/.hdf5 format is a legacy format supported by Keras 3 for backwards compatibility.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-20 03:55 UTC
CWE
  • CWE-913 - Improper Control of Dynamically-Managed Code Resources
Assigner
Google CNA under the Google root
CNA scorecard B 76/100 over 37 records in the last 180 days details
Impacted products
Vendor Product Version CPE status
Keras-team Keras Affected: 3.0.0 , ≤ 3.11.2 (semver)
guessed Create a notification for this product.
Show details on NVD website

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-9905",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-09-20T03:55:41.389596Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-02-26T17:48:23.327Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "collectionURL": "https://github.com/keras-team/keras",
          "defaultStatus": "unaffected",
          "packageName": "keras",
          "product": "Keras",
          "repo": "https://github.com/keras-team/keras",
          "vendor": "Keras-team",
          "versions": [
            {
              "lessThanOrEqual": "3.11.2",
              "status": "affected",
              "version": "3.0.0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "Gabriele Digregorio"
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "\u003cp\u003eThe Keras \u003ccode\u003eModel.load_model\u003c/code\u003e\u0026nbsp;method can be exploited to achieve arbitrary code execution, even with \u003ccode\u003esafe_mode=True\u003c/code\u003e.\u003c/p\u003e\u003cp\u003eOne can create a specially crafted \u003ccode\u003e.h5\u003c/code\u003e/\u003ccode\u003e.hdf5\u003c/code\u003e\u0026nbsp;model archive that, when loaded via \u003ccode\u003eModel.load_model\u003c/code\u003e, will trigger arbitrary code to be executed.\u003c/p\u003e\u003cp\u003eThis is achieved by crafting a special \u003ccode\u003e.h5\u003c/code\u003e\u0026nbsp;archive file that uses the \u003ccode\u003eLambda\u003c/code\u003e\u0026nbsp;layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the \u003ccode\u003esafe_mode=True\u003c/code\u003e\u0026nbsp;option is not honored when reading \u003ccode\u003e.h5\u003c/code\u003e\u0026nbsp;archives.\u003c/p\u003e\u003cp\u003eNote that the \u003ccode\u003e.h5\u003c/code\u003e/\u003ccode\u003e.hdf5\u003c/code\u003e\u0026nbsp;format is a legacy format supported by Keras 3 for backwards compatibility.\u003c/p\u003e\u003cbr\u003e"
            }
          ],
          "value": "The Keras Model.load_model\u00a0method can be exploited to achieve arbitrary code execution, even with safe_mode=True.\n\nOne can create a specially crafted .h5/.hdf5\u00a0model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed.\n\nThis is achieved by crafting a special .h5\u00a0archive file that uses the Lambda\u00a0layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True\u00a0option is not honored when reading .h5\u00a0archives.\n\nNote that the .h5/.hdf5\u00a0format is a legacy format supported by Keras 3 for backwards compatibility."
        }
      ],
      "impacts": [
        {
          "capecId": "CAPEC-175",
          "descriptions": [
            {
              "lang": "en",
              "value": "CAPEC-175 Code Inclusion"
            }
          ]
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
            "attackComplexity": "HIGH",
            "attackRequirements": "PRESENT",
            "attackVector": "LOCAL",
            "baseScore": 7.3,
            "baseSeverity": "HIGH",
            "privilegesRequired": "LOW",
            "providerUrgency": "NOT_DEFINED",
            "subAvailabilityImpact": "HIGH",
            "subConfidentialityImpact": "HIGH",
            "subIntegrityImpact": "HIGH",
            "userInteraction": "PASSIVE",
            "valueDensity": "NOT_DEFINED",
            "vectorString": "CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H",
            "version": "4.0",
            "vulnAvailabilityImpact": "HIGH",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "HIGH",
            "vulnerabilityResponseEffort": "NOT_DEFINED"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-913",
              "description": "CWE-913 Improper Control of Dynamically-Managed Code Resources",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-09-19T08:16:44.772Z",
        "orgId": "14ed7db2-1595-443d-9d34-6215bf890778",
        "shortName": "Google"
      },
      "references": [
        {
          "tags": [
            "patch"
          ],
          "url": "https://github.com/keras-team/keras/pull/21602"
        },
        {
          "url": "https://github.com/keras-team/keras/security/advisories/GHSA-36rr-ww3j-vrjv"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "title": "Arbitary Code execution in Keras load_model()",
      "x_generator": {
        "engine": "Vulnogram 0.2.0"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "14ed7db2-1595-443d-9d34-6215bf890778",
    "assignerShortName": "Google",
    "cveId": "CVE-2025-9905",
    "datePublished": "2025-09-19T08:16:44.772Z",
    "dateReserved": "2025-09-03T07:27:18.212Z",
    "dateUpdated": "2026-02-26T17:48:23.327Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2025-9905",
      "date": "2026-10-21",
      "epss": "0.00223",
      "percentile": "0.12152"
    },
    "microsoft_vex": {
      "current_release_date": "2025-09-20T01:03:44.000Z",
      "cve": "CVE-2025-9905",
      "id": "msrc_CVE-2025-9905",
      "initial_release_date": "2025-09-02T00:00:00.000Z",
      "product_status:fixed": "1",
      "product_status:known_affected": "1",
      "source": "Microsoft CSAF VEX",
      "status": "final",
      "title": "Arbitary Code execution in Keras load_model()",
      "url": "https://msrc.microsoft.com/csaf/vex/2025/msrc_cve-2025-9905.json",
      "version": "1"
    },
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "collectionURL": "https://github.com/keras-team/keras",
                "defaultStatus": "unaffected",
                "packageName": "keras",
                "product": "Keras",
                "repo": "https://github.com/keras-team/keras",
                "vendor": "Keras-team",
                "versions": [
                  {
                    "lessThanOrEqual": "3.11.2",
                    "status": "affected",
                    "version": "3.0.0",
                    "versionType": "semver"
                  }
                ]
              }
            ],
            "source": "cve-coordination@google.com"
          }
        ],
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:keras:keras:*:*:*:*:*:*:*:*",
                    "matchCriteriaId": "315FD6FA-C1F3-47FD-AE5D-DF4D556D657F",
                    "versionEndExcluding": "3.11.3",
                    "versionStartIncluding": "3.0.0",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "The Keras Model.load_model\u00a0method can be exploited to achieve arbitrary code execution, even with safe_mode=True.\n\nOne can create a specially crafted .h5/.hdf5\u00a0model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed.\n\nThis is achieved by crafting a special .h5\u00a0archive file that uses the Lambda\u00a0layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True\u00a0option is not honored when reading .h5\u00a0archives.\n\nNote that the .h5/.hdf5\u00a0format is a legacy format supported by Keras 3 for backwards compatibility."
          },
          {
            "lang": "es",
            "value": "El m\u00e9todo Keras Model.load_model puede ser explotado para lograr ejecuci\u00f3n de c\u00f3digo arbitrario, incluso con safe_mode=True.\n\nSe puede crear un archivo de modelo .h5/.hdf5 especialmente dise\u00f1ado que, al cargarse a trav\u00e9s de Model.load_model, activar\u00e1 la ejecuci\u00f3n de c\u00f3digo arbitrario.\n\nEsto se logra al dise\u00f1ar un archivo .h5 especial que utiliza la caracter\u00edstica de capa Lambda de Keras, la cual permite c\u00f3digo Python arbitrario en forma de c\u00f3digo pickled. La vulnerabilidad surge del hecho de que la opci\u00f3n safe_mode=True no se respeta al leer archivos .h5.\n\nTenga en cuenta que el formato .h5/.hdf5 es un formato heredado compatible con Keras 3 para compatibilidad con versiones anteriores."
          }
        ],
        "id": "CVE-2025-9905",
        "lastModified": "2026-10-19T16:10:00.260",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "LOCAL",
                "availabilityImpact": "HIGH",
                "baseScore": 7.3,
                "baseSeverity": "HIGH",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "HIGH",
                "privilegesRequired": "LOW",
                "scope": "UNCHANGED",
                "userInteraction": "REQUIRED",
                "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H",
                "version": "3.1"
              },
              "exploitabilityScore": 1.3,
              "impactScore": 5.9,
              "source": "nvd@nist.gov",
              "type": "Primary"
            }
          ],
          "cvssMetricV40": [
            {
              "cvssData": {
                "Automatable": "NOT_DEFINED",
                "Recovery": "NOT_DEFINED",
                "Safety": "NOT_DEFINED",
                "attackComplexity": "HIGH",
                "attackRequirements": "PRESENT",
                "attackVector": "LOCAL",
                "availabilityRequirement": "NOT_DEFINED",
                "baseScore": 7.3,
                "baseSeverity": "HIGH",
                "confidentialityRequirement": "NOT_DEFINED",
                "exploitMaturity": "NOT_DEFINED",
                "integrityRequirement": "NOT_DEFINED",
                "modifiedAttackComplexity": "NOT_DEFINED",
                "modifiedAttackRequirements": "NOT_DEFINED",
                "modifiedAttackVector": "NOT_DEFINED",
                "modifiedPrivilegesRequired": "NOT_DEFINED",
                "modifiedSubAvailabilityImpact": "NOT_DEFINED",
                "modifiedSubConfidentialityImpact": "NOT_DEFINED",
                "modifiedSubIntegrityImpact": "NOT_DEFINED",
                "modifiedUserInteraction": "NOT_DEFINED",
                "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
                "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
                "modifiedVulnIntegrityImpact": "NOT_DEFINED",
                "privilegesRequired": "LOW",
                "providerUrgency": "NOT_DEFINED",
                "subAvailabilityImpact": "HIGH",
                "subConfidentialityImpact": "HIGH",
                "subIntegrityImpact": "HIGH",
                "userInteraction": "PASSIVE",
                "valueDensity": "NOT_DEFINED",
                "vectorString": "CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
                "version": "4.0",
                "vulnAvailabilityImpact": "HIGH",
                "vulnConfidentialityImpact": "HIGH",
                "vulnIntegrityImpact": "HIGH",
                "vulnerabilityResponseEffort": "NOT_DEFINED"
              },
              "source": "cve-coordination@google.com",
              "type": "Secondary"
            }
          ],
          "ssvcV203": [
            {
              "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "ssvcData": {
                "id": "CVE-2025-9905",
                "options": [
                  {
                    "exploitation": "none"
                  },
                  {
                    "automatable": "no"
                  },
                  {
                    "technicalImpact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-09-20T03:55:41.389596Z",
                "version": "2.0.3"
              }
            }
          ]
        },
        "published": "2025-09-19T09:15:36.033",
        "references": [
          {
            "source": "cve-coordination@google.com",
            "tags": [
              "Issue Tracking",
              "Patch"
            ],
            "url": "https://github.com/keras-team/keras/pull/21602"
          },
          {
            "source": "cve-coordination@google.com",
            "tags": [
              "Exploit",
              "Vendor Advisory"
            ],
            "url": "https://github.com/keras-team/keras/security/advisories/GHSA-36rr-ww3j-vrjv"
          }
        ],
        "sourceIdentifier": "cve-coordination@google.com",
        "vulnStatus": "Analyzed",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-913"
              }
            ],
            "source": "cve-coordination@google.com",
            "type": "Secondary"
          }
        ]
      }
    },
    "redhat_vex": {
      "aggregate_severity": "Important",
      "current_release_date": "2026-06-28T07:13:58+00:00",
      "cve": "CVE-2025-9905",
      "id": "CVE-2025-9905",
      "initial_release_date": "2025-09-19T08:16:44.772000+00:00",
      "product_status:fixed": "3",
      "product_status:known_affected": "1",
      "product_status:known_not_affected": "244",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "keras: Arbitary Code execution in Keras load_model()",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-9905.json",
      "version": "3"
    },
    "vulnrichment": {
      "containers": {
        "adp": [
          {
            "metrics": [
              {
                "other": {
                  "content": {
                    "id": "CVE-2025-9905",
                    "options": [
                      {
                        "Exploitation": "none"
                      },
                      {
                        "Automatable": "no"
                      },
                      {
                        "Technical Impact": "total"
                      }
                    ],
                    "role": "CISA Coordinator",
                    "timestamp": "2025-09-19T11:47:46.060479Z",
                    "version": "2.0.3"
                  },
                  "type": "ssvc"
                }
              }
            ],
            "providerMetadata": {
              "dateUpdated": "2025-09-19T11:48:23.572Z",
              "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "shortName": "CISA-ADP"
            },
            "title": "CISA ADP Vulnrichment"
          }
        ],
        "cna": {
          "affected": [
            {
              "collectionURL": "https://github.com/keras-team/keras",
              "defaultStatus": "unaffected",
              "packageName": "keras",
              "product": "Keras",
              "repo": "https://github.com/keras-team/keras",
              "vendor": "Keras-team",
              "versions": [
                {
                  "lessThanOrEqual": "3.11.2",
                  "status": "affected",
                  "version": "3.0.0",
                  "versionType": "semver"
                }
              ]
            }
          ],
          "credits": [
            {
              "lang": "en",
              "type": "finder",
              "value": "Gabriele Digregorio"
            }
          ],
          "descriptions": [
            {
              "lang": "en",
              "supportingMedia": [
                {
                  "base64": false,
                  "type": "text/html",
                  "value": "\u003cp\u003eThe Keras \u003ccode\u003eModel.load_model\u003c/code\u003e\u0026nbsp;method can be exploited to achieve arbitrary code execution, even with \u003ccode\u003esafe_mode=True\u003c/code\u003e.\u003c/p\u003e\u003cp\u003eOne can create a specially crafted \u003ccode\u003e.h5\u003c/code\u003e/\u003ccode\u003e.hdf5\u003c/code\u003e\u0026nbsp;model archive that, when loaded via \u003ccode\u003eModel.load_model\u003c/code\u003e, will trigger arbitrary code to be executed.\u003c/p\u003e\u003cp\u003eThis is achieved by crafting a special \u003ccode\u003e.h5\u003c/code\u003e\u0026nbsp;archive file that uses the \u003ccode\u003eLambda\u003c/code\u003e\u0026nbsp;layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the \u003ccode\u003esafe_mode=True\u003c/code\u003e\u0026nbsp;option is not honored when reading \u003ccode\u003e.h5\u003c/code\u003e\u0026nbsp;archives.\u003c/p\u003e\u003cp\u003eNote that the \u003ccode\u003e.h5\u003c/code\u003e/\u003ccode\u003e.hdf5\u003c/code\u003e\u0026nbsp;format is a legacy format supported by Keras 3 for backwards compatibility.\u003c/p\u003e\u003cbr\u003e"
                }
              ],
              "value": "The Keras Model.load_model\u00a0method can be exploited to achieve arbitrary code execution, even with safe_mode=True.\n\nOne can create a specially crafted .h5/.hdf5\u00a0model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed.\n\nThis is achieved by crafting a special .h5\u00a0archive file that uses the Lambda\u00a0layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True\u00a0option is not honored when reading .h5\u00a0archives.\n\nNote that the .h5/.hdf5\u00a0format is a legacy format supported by Keras 3 for backwards compatibility."
            }
          ],
          "impacts": [
            {
              "capecId": "CAPEC-175",
              "descriptions": [
                {
                  "lang": "en",
                  "value": "CAPEC-175 Code Inclusion"
                }
              ]
            }
          ],
          "metrics": [
            {
              "cvssV4_0": {
                "Automatable": "NOT_DEFINED",
                "Recovery": "NOT_DEFINED",
                "Safety": "NOT_DEFINED",
                "attackComplexity": "HIGH",
                "attackRequirements": "PRESENT",
                "attackVector": "LOCAL",
                "baseScore": 7.3,
                "baseSeverity": "HIGH",
                "privilegesRequired": "LOW",
                "providerUrgency": "NOT_DEFINED",
                "subAvailabilityImpact": "HIGH",
                "subConfidentialityImpact": "HIGH",
                "subIntegrityImpact": "HIGH",
                "userInteraction": "PASSIVE",
                "valueDensity": "NOT_DEFINED",
                "vectorString": "CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H",
                "version": "4.0",
                "vulnAvailabilityImpact": "HIGH",
                "vulnConfidentialityImpact": "HIGH",
                "vulnIntegrityImpact": "HIGH",
                "vulnerabilityResponseEffort": "NOT_DEFINED"
              },
              "format": "CVSS",
              "scenarios": [
                {
                  "lang": "en",
                  "value": "GENERAL"
                }
              ]
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-913",
                  "description": "CWE-913 Improper Control of Dynamically-Managed Code Resources",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2025-09-19T08:16:44.772Z",
            "orgId": "14ed7db2-1595-443d-9d34-6215bf890778",
            "shortName": "Google"
          },
          "references": [
            {
              "tags": [
                "patch"
              ],
              "url": "https://github.com/keras-team/keras/pull/21602"
            },
            {
              "url": "https://github.com/keras-team/keras/security/advisories/GHSA-36rr-ww3j-vrjv"
            }
          ],
          "source": {
            "discovery": "UNKNOWN"
          },
          "title": "Arbitary Code execution in Keras load_model()",
          "x_generator": {
            "engine": "Vulnogram 0.2.0"
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "14ed7db2-1595-443d-9d34-6215bf890778",
        "assignerShortName": "Google",
        "cveId": "CVE-2025-9905",
        "datePublished": "2025-09-19T08:16:44.772Z",
        "dateReserved": "2025-09-03T07:27:18.212Z",
        "dateUpdated": "2025-09-20T03:55:40.926Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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
Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    Loading…

    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.