{"id":"CVE-2025-71350","aliases":["EUVD-2025-210386","GHSA-f745-w6jp-hpxx","GHSA-px3v-38wh-q34v"],"status":"published","title":"picklescan - Undetected Remote Code Execution via torch.utils.collect_env.run","description":"picklescan before 0.0.28 fails to detect malicious pickle files using torch.utils.collect_env.run function in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.","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":0.00449,"percentile":0.3953,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-345","CWE-502"],"published":"2025-08-22T16:57:49Z","modified":"2026-10-28T02:30:27Z","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"]}],"products":[{"vendor":"mmaitre314","product":"picklescan"},{"vendor":"picklescan","product":"picklescan"}],"references":[{"url":"https://github.com/mmaitre314/picklescan/security/advisories/GHSA-f745-w6jp-hpxx","tags":["vendor-advisory","exploit","advisory","web"]},{"url":"https://www.vulncheck.com/advisories/picklescan-undetected-remote-code-execution-via-torch-utils-collect-env-run","tags":["third-party-advisory","advisory"]},{"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-f745-w6jp-hpxx"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2025-71350","tags":["advisory"]},{"url":"https://github.com/advisories/GHSA-px3v-38wh-q34v"},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/71xxx/CVE-2025-71350.json","tags":["advisory"]},{"url":"https://github.com/mmaitre314/picklescan","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2025-71350","title":"picklescan - Undetected Remote Code Execution via torch.utils.collect_env.run","description":"picklescan before 0.0.28 fails to detect malicious pickle files using torch.utils.collect_env.run function in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.","status":"published","published":"2026-06-30T22:08:16.758Z","modified":"2026-07-01T13:57:37.901Z","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":"2026-11-02T14:32:42.751171Z"}],"euvd":[{"id":"EUVD-2025-210386","description":"picklescan before 0.0.28 fails to detect malicious pickle files using torch.utils.collect_env.run function in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.","status":"published","published":"2026-06-30T22:08:16Z","modified":"2026-07-01T13:57:37Z","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":"2026-11-02T18:20:20.297775Z"}],"ghsa":[{"id":"GHSA-px3v-38wh-q34v","title":"picklescan before 0.0.28 fails to detect malicious pickle files using torch.utils.collect_env.run...","description":"picklescan before 0.0.28 fails to detect malicious pickle files using torch.utils.collect_env.run function in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.","status":"published","published":"2026-07-01T00:34:01Z","modified":"2026-07-01T00:34:07Z","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"},{"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-502"],"updated_at":"2026-11-02T15:09:07.106222Z"},{"id":"GHSA-f745-w6jp-hpxx","title":"Picklescan missing detection when calling pytorch function torch.utils.collect_env.run","description":"### Summary\n\nUsing torch.utils.collect_env.run 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.utils.collect_env.run 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```\nimport torch.utils.collect_env as collect_env\n\nclass EvilTorchUtilsCollectEnvRun:\n    def __reduce__(self):\n        command = 'touch /tmp/collect_env_run_success'\n        return collect_env.run, (command,)\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":"2025-08-22T16:57:49Z","modified":"2025-08-22T16:57:50Z","cwes":["CWE-345"],"updated_at":"2026-11-02T14:38:54.795089Z"}],"nvd":[{"id":"CVE-2025-71350","description":"picklescan before 0.0.28 fails to detect malicious pickle files using torch.utils.collect_env.run function in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.","status":"published","published":"2026-06-30T23:16:51.163Z","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-2025-71350","title":"picklescan - Undetected Remote Code Execution via torch.utils.collect_env.run","description":"picklescan before 0.0.28 fails to detect malicious pickle files using torch.utils.collect_env.run function in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.","status":"published","published":"2026-06-30T22:08:16.758Z","modified":"2026-10-28T02:30:27.306887155Z","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-f745-w6jp-hpxx","title":"Picklescan missing detection when calling pytorch function torch.utils.collect_env.run","description":"### Summary\n\nUsing torch.utils.collect_env.run 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.utils.collect_env.run 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```\nimport torch.utils.collect_env as collect_env\n\nclass EvilTorchUtilsCollectEnvRun:\n    def __reduce__(self):\n        command = 'touch /tmp/collect_env_run_success'\n        return collect_env.run, (command,)\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":"2025-08-22T16:57:49Z","modified":"2026-07-08T07:10:43.305358333Z","cwes":["CWE-345"],"updated_at":"2026-11-02T15:46:46.006631Z"}]}}