{"id":"CVE-2026-5241","aliases":["CLSA-2026-1783991041","EUVD-2026-34084","GHSA-fgcw-684q-jj6r","PYSEC-2026-2290"],"status":"published","title":"Policy Bypass in LightGlue Nested Config Resolution in huggingface/transformers","description":"A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.","severity":{"version":"3.0","score":8,"vector":"CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-11","score":0.00597,"percentile":0.48975,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-829"],"published":"2026-06-03T12:33:10Z","modified":"2026-10-28T02:31:08Z","fixes":[{"ecosystem":"PyPI","package":"transformers","fixed_in":["5.5.0"],"sources":["ghsa","osv"]},{"ecosystem":"TuxCare:PyPI","package":"transformers","fixed_in":["4.57.6.post3+tuxcare"],"sources":["osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"transformers","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"5.5.0"}]}]},{"source":"osv","ecosystem":"TuxCare:PyPI","package":"transformers","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"4.57.6"},{"fixed":"4.57.6.post3+tuxcare"}]}],"versions":["4.57.6","4.57.6.post1+tuxcare","4.57.6.post2+tuxcare"]},{"source":"osv","ecosystem":"PyPI","package":"transformers","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"5.5.0"}]}],"versions":["0.1","2.0.0","2.1.0","2.1.1","2.10.0","2.11.0","2.2.0","2.2.1","2.2.2","2.3.0","2.4.0","2.4.1","2.5.0","2.5.1","2.6.0","2.7.0","2.8.0","2.9.0","2.9.1","3.0.0","3.0.1","3.0.2","3.1.0","3.2.0","3.3.0","3.3.1","3.4.0","3.5.0","3.5.1","4.0.0","4.0.0rc1","4.0.1","4.1.0","4.1.1","4.10.0","4.10.1","4.10.2","4.10.3","4.11.0","4.11.1","4.11.2","4.11.3","4.12.0","4.12.1","4.12.2","4.12.3","4.12.4","4.12.5","4.13.0","4.14.0","4.14.1","4.15.0","4.16.0","4.16.1","4.16.2","4.17.0","4.18.0","4.19.0","4.19.1","4.19.2","4.19.3","4.19.4","4.2.0","4.2.1","4.2.2","4.20.0","4.20.1","4.21.0","4.21.1","4.21.2","4.21.3","4.22.0","4.22.1","4.22.2","4.23.0","4.23.1","4.24.0","4.25.0","4.25.1","4.26.0","4.26.1","4.27.0","4.27.1","4.27.2","4.27.3","4.27.4","4.28.0","4.28.1","4.29.0","4.29.1","4.29.2","4.3.0","4.3.0rc1","4.3.1","4.3.2","4.3.3","4.30.0","4.30.1","4.30.2","4.31.0","4.32.0","4.32.1","4.33.0","4.33.1","4.33.2","4.33.3","4.34.0","4.34.1","4.35.0","4.35.1","4.35.2","4.36.0","4.36.1","4.36.2","4.37.0","4.37.1","4.37.2","4.38.0","4.38.1","4.38.2","4.39.0","4.39.1","4.39.2","4.39.3","4.4.0","4.4.1","4.4.2","4.40.0","4.40.1","4.40.2","4.41.0","4.41.1","4.41.2","4.42.0","4.42.1","4.42.2","4.42.3","4.42.4","4.43.0","4.43.1","4.43.2","4.43.3","4.43.4","4.44.0","4.44.1","4.44.2","4.45.0","4.45.1","4.45.2","4.46.0","4.46.1","4.46.2","4.46.3","4.47.0","4.47.1","4.48.0","4.48.1","4.48.2","4.48.3","4.49.0","4.5.0","4.5.1","4.50.0","4.50.1","4.50.2","4.50.3","4.51.0","4.51.1","4.51.2","4.51.3","4.52.0","4.52.1","4.52.2","4.52.3","4.52.4","4.53.0","4.53.1","4.53.2","4.53.3","4.54.0","4.54.1","4.55.0","4.55.1","4.55.2","4.55.3","4.55.4","4.56.0","4.56.1","4.56.2","4.57.0","4.57.1","4.57.2","4.57.3","4.57.4","4.57.5","4.57.6","4.6.0","4.6.1","4.7.0","4.8.0","4.8.1","4.8.2","4.9.0","4.9.1","4.9.2","5.0.0","5.0.0rc0","5.0.0rc1","5.0.0rc2","5.0.0rc3","5.1.0","5.2.0","5.3.0","5.4.0"]},{"source":"osv","ecosystem":"PyPI","package":"transformers","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"last_affected":"5.2.0"}]}],"versions":["0.1","2.0.0","2.1.0","2.1.1","2.10.0","2.11.0","2.2.0","2.2.1","2.2.2","2.3.0","2.4.0","2.4.1","2.5.0","2.5.1","2.6.0","2.7.0","2.8.0","2.9.0","2.9.1","3.0.0","3.0.1","3.0.2","3.1.0","3.2.0","3.3.0","3.3.1","3.4.0","3.5.0","3.5.1","4.0.0","4.0.0rc1","4.0.1","4.1.0","4.1.1","4.10.0","4.10.1","4.10.2","4.10.3","4.11.0","4.11.1","4.11.2","4.11.3","4.12.0","4.12.1","4.12.2","4.12.3","4.12.4","4.12.5","4.13.0","4.14.0","4.14.1","4.15.0","4.16.0","4.16.1","4.16.2","4.17.0","4.18.0","4.19.0","4.19.1","4.19.2","4.19.3","4.19.4","4.2.0","4.2.1","4.2.2","4.20.0","4.20.1","4.21.0","4.21.1","4.21.2","4.21.3","4.22.0","4.22.1","4.22.2","4.23.0","4.23.1","4.24.0","4.25.0","4.25.1","4.26.0","4.26.1","4.27.0","4.27.1","4.27.2","4.27.3","4.27.4","4.28.0","4.28.1","4.29.0","4.29.1","4.29.2","4.3.0","4.3.0rc1","4.3.1","4.3.2","4.3.3","4.30.0","4.30.1","4.30.2","4.31.0","4.32.0","4.32.1","4.33.0","4.33.1","4.33.2","4.33.3","4.34.0","4.34.1","4.35.0","4.35.1","4.35.2","4.36.0","4.36.1","4.36.2","4.37.0","4.37.1","4.37.2","4.38.0","4.38.1","4.38.2","4.39.0","4.39.1","4.39.2","4.39.3","4.4.0","4.4.1","4.4.2","4.40.0","4.40.1","4.40.2","4.41.0","4.41.1","4.41.2","4.42.0","4.42.1","4.42.2","4.42.3","4.42.4","4.43.0","4.43.1","4.43.2","4.43.3","4.43.4","4.44.0","4.44.1","4.44.2","4.45.0","4.45.1","4.45.2","4.46.0","4.46.1","4.46.2","4.46.3","4.47.0","4.47.1","4.48.0","4.48.1","4.48.2","4.48.3","4.49.0","4.5.0","4.5.1","4.50.0","4.50.1","4.50.2","4.50.3","4.51.0","4.51.1","4.51.2","4.51.3","4.52.0","4.52.1","4.52.2","4.52.3","4.52.4","4.53.0","4.53.1","4.53.2","4.53.3","4.54.0","4.54.1","4.55.0","4.55.1","4.55.2","4.55.3","4.55.4","4.56.0","4.56.1","4.56.2","4.57.0","4.57.1","4.57.2","4.57.3","4.57.4","4.57.5","4.57.6","4.6.0","4.6.1","4.7.0","4.8.0","4.8.1","4.8.2","4.9.0","4.9.1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hat","product":"openshift lightspeed"},{"vendor":"red hat","product":"red hat ai inference server"},{"vendor":"red hat","product":"red hat ansible automation platform 2"},{"vendor":"red hat","product":"red hat enterprise linux ai (rhel ai) 3"},{"vendor":"red hat","product":"red hat openshift ai (rhoai)"},{"vendor":"red hat","product":"red hat openshift ai 2.25"},{"vendor":"red hat","product":"red hat openshift ai 3.3"},{"vendor":"red hat","product":"red hat openshift ai 3.4"}],"references":[{"url":"https://huntr.com/bounties/ceb3ce1a-4c45-497a-b25e-cb9a7685e619","tags":["exploit","Exploit","Third Party Advisory","web","evidence"]},{"url":"https://github.com/huggingface/transformers/commit/676559d5022b74aaa0cee1cee0842b7f27c5320e","tags":["Patch","fix","web"]},{"url":"https://access.redhat.com/security/cve/CVE-2026-5241","tags":["vdb-entry","x_refsource_REDHAT","advisory","web"]},{"url":"https://bugzilla.redhat.com/show_bug.cgi?id=2484384","tags":["issue-tracking","x_refsource_REDHAT","report","web"]},{"url":"https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-5241.json","tags":["x_sadp-csaf-vex","web"]},{"url":"https://access.redhat.com/errata/RHSA-2026:42644","tags":["vendor-advisory","x_refsource_REDHAT","advisory","web"]},{"url":"https://access.redhat.com/errata/RHSA-2026:37275","tags":["vendor-advisory","x_refsource_REDHAT","advisory","web"]},{"url":"https://access.redhat.com/errata/RHSA-2026:34456","tags":["vendor-advisory","x_refsource_REDHAT","advisory","web"]},{"url":"https://access.redhat.com/errata/RHSA-2026:60520","tags":["vendor-advisory","x_refsource_REDHAT","advisory"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-5241","tags":["advisory"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/transformers/PYSEC-2026-2290.yaml","tags":["web"]},{"url":"https://github.com/advisories/GHSA-fgcw-684q-jj6r","tags":["advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/5xxx/CVE-2026-5241.json","tags":["advisory"]},{"url":"https://github.com/huggingface/transformers","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2026-5241","title":"Policy Bypass in LightGlue Nested Config Resolution in huggingface/transformers","description":"A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.","status":"published","published":"2026-06-03T12:33:10.227Z","modified":"2026-09-01T12:04:56.842Z","cvss":[{"version":"3.0","score":8,"vector":"CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N","level":"high","assessor":"cna"},{"version":"3.1","score":7.7,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:N","level":"high","assessor":"adp"}],"cwes":["CWE-829","CWE-829"],"updated_at":"2026-11-02T13:39:39.001586Z"}],"euvd":[{"id":"EUVD-2026-34084","description":"A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.","status":"published","published":"2026-06-03T12:33:10Z","modified":"2026-09-01T12:04:56Z","cvss":[{"version":"3.1","score":7.7,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:N","level":"high"}],"updated_at":"2026-11-02T18:01:19.285273Z"}],"ghsa":[{"id":"GHSA-fgcw-684q-jj6r","title":"huggingface/transformers: Arbitrary Code Execution During Model Initialization in the LightGlue Model Loading Path","description":"A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.","status":"published","published":"2026-06-03T15:30:43Z","modified":"2026-07-21T12:33:27Z","cvss":[{"version":"3.0","score":8,"vector":"CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N","level":"high"}],"cwes":["CWE-829"],"updated_at":"2026-11-02T14:40:49.410128Z"}],"nvd":[{"id":"CVE-2026-5241","description":"A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.","status":"published","published":"2026-06-03T14:16:46.337Z","modified":"2026-08-28T16:18:18.957Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical","assessor":"primary"},{"version":"3.1","score":7.7,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:N","level":"high","assessor":"secondary"},{"version":"3.0","score":8,"vector":"CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N","level":"high","assessor":"secondary"}],"cwes":["CWE-829"],"updated_at":"2026-11-02T14:12:22.022466Z"}],"osv":[{"id":"CVE-2026-5241","title":"Policy Bypass in LightGlue Nested Config Resolution in huggingface/transformers","description":"A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.","status":"published","published":"2026-06-03T12:33:10.227Z","modified":"2026-10-28T02:31:08.820892618Z","cvss":[{"version":"3.1","score":7.7,"vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:N","level":"high"}],"cwes":["CWE-829"],"updated_at":"2026-11-02T15:45:07.431113Z"},{"id":"GHSA-fgcw-684q-jj6r","title":"huggingface/transformers: Arbitrary Code Execution During Model Initialization in the LightGlue Model Loading Path","description":"A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.","status":"published","published":"2026-06-03T15:30:43Z","modified":"2026-09-10T03:50:49.345942449Z","cvss":[{"version":"3.0","score":8,"vector":"CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N","level":"high"}],"cwes":["CWE-829"],"updated_at":"2026-11-02T15:46:46.39441Z"},{"id":"PYSEC-2026-2290","description":"A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.","status":"published","published":"2026-06-03T14:16:46.337Z","modified":"2026-07-23T15:00:26.322865889Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical"}],"updated_at":"2026-11-02T15:52:55.537808Z"},{"id":"CLSA-2026-1783991041","title":"TuxCare security update for transformers (1 CVE)","description":"TuxCare rebuilt transformers to address 1 CVE. Fixed in 4.57.6.post3+tuxcare.","status":"published","published":"2026-08-04T14:52:43Z","modified":"2026-10-15T09:48:05.426730407Z","updated_at":"2026-11-02T15:43:46.151924Z"}]}}