{"id":"CVE-2026-73325","state":"PUBLISHED","title":"Fujitsu OneCompression < 1.2.1 Arbitrary Code Execution via torch.load Deserialization","description":"Fujitsu Research's OneCompression library before 1.2.1 contains an unsafe deserialization vulnerability that allows attackers to execute arbitrary code by supplying a crafted model.pt checkpoint file, as QuantizedModelLoader.load_quantized_model_pt() unconditionally calls torch.load with weights_only=False, invoking Python's pickle machinery during deserialization. Attackers can embed malicious __reduce__ methods in a crafted model checkpoint to execute arbitrary Python code, including system commands, when the library loads the file from a caller-selected model directory.","publishedAt":"2026-08-12T15:35:51.299Z","updatedAt":"2026-08-25T01:15:34.892Z","severity":{"score":8.4,"label":"High","version":"4.0","vector":"CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","source":"VulnCheck"},"assigner":"VulnCheck","products":["Fujitsu Research OneCompression"],"affected":[{"vendor":"Fujitsu Research","product":"OneCompression","defaultStatus":"affected","versions":[{"version":"0","status":"affected","lessThan":"1.2.1","versionType":"custom"}]}],"references":["https://github.com/FujitsuResearch/OneCompression/blob/main/SECURITY.md","https://pypi.org/project/onecomp/","https://pypi.org/project/onecomp/1.2.1/","https://www.vulncheck.com/advisories/fujitsu-onecompression-arbitrary-code-execution-via-torch-load-deserialization"],"weaknesses":["CWE-502"],"ingestedAt":"2026-10-29T20:12:58.252Z","source":{"repository":"CVEProject/cvelistV5","path":"cves/2026/73xxx/CVE-2026-73325.json","commit":"556c9d3a8cd17e218bb8e452ba7cd619a384ff47"},"raw":{"dataType":"CVE_RECORD","dataVersion":"5.2","cveMetadata":{"cveId":"CVE-2026-73325","state":"PUBLISHED","datePublished":"2026-08-12T15:35:51.299Z","dateUpdated":"2026-08-25T01:15:34.892Z","assignerShortName":"VulnCheck","assignerOrgId":"83251b91-4cc7-4094-a5c7-464a1b83ea10","dateReserved":"2026-08-11T21:47:14.059Z"},"containers":{"cna":{"title":"Fujitsu OneCompression < 1.2.1 Arbitrary Code Execution via torch.load Deserialization","descriptions":[{"lang":"en","value":"Fujitsu Research's OneCompression library before 1.2.1 contains an unsafe deserialization vulnerability that allows attackers to execute arbitrary code by supplying a crafted model.pt checkpoint file, as QuantizedModelLoader.load_quantized_model_pt() unconditionally calls torch.load with weights_only=False, invoking Python's pickle machinery during deserialization. Attackers can embed malicious __reduce__ methods in a crafted model checkpoint to execute arbitrary Python code, including system commands, when the library loads the file from a caller-selected model directory."}],"affected":[{"vendor":"Fujitsu Research","product":"OneCompression","defaultStatus":"affected","versions":[{"version":"0","status":"affected","lessThan":"1.2.1","versionType":"custom"}]}],"references":[{"url":"https://github.com/FujitsuResearch/OneCompression/blob/main/SECURITY.md","name":"Maintainer SECURITY.md","tags":["vendor-advisory"]},{"url":"https://pypi.org/project/onecomp/","name":"Project Repository","tags":["product"]},{"url":"https://pypi.org/project/onecomp/1.2.1/","tags":["patch"],"name":"Patch Release"},{"url":"https://www.vulncheck.com/advisories/fujitsu-onecompression-arbitrary-code-execution-via-torch-load-deserialization","tags":["third-party-advisory"]}],"metrics":[{"format":"CVSS","scenarios":[{"lang":"en","value":"GENERAL"}],"cvssV4_0":{"attackVector":"LOCAL","attackComplexity":"LOW","attackRequirements":"NONE","privilegesRequired":"NONE","userInteraction":"ACTIVE","vulnConfidentialityImpact":"HIGH","subConfidentialityImpact":"NONE","vulnIntegrityImpact":"HIGH","subIntegrityImpact":"NONE","vulnAvailabilityImpact":"HIGH","subAvailabilityImpact":"NONE","exploitMaturity":"NOT_DEFINED","Safety":"NOT_DEFINED","Automatable":"NOT_DEFINED","Recovery":"NOT_DEFINED","valueDensity":"NOT_DEFINED","vulnerabilityResponseEffort":"NOT_DEFINED","providerUrgency":"NOT_DEFINED","version":"4.0","baseSeverity":"HIGH","baseScore":8.4,"vectorString":"CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"}},{"format":"CVSS","scenarios":[{"lang":"en","value":"GENERAL"}],"cvssV3_1":{"attackVector":"LOCAL","attackComplexity":"LOW","privilegesRequired":"NONE","userInteraction":"REQUIRED","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"HIGH","availabilityImpact":"HIGH","version":"3.1","baseSeverity":"HIGH","baseScore":7.8,"vectorString":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"}}],"problemTypes":[{"descriptions":[{"cweId":"CWE-502","lang":"en","description":"Deserialization of Untrusted Data","type":"CWE"}]}],"providerMetadata":{"shortName":"VulnCheck","orgId":"83251b91-4cc7-4094-a5c7-464a1b83ea10","dateUpdated":"2026-08-25T01:15:34.892Z"},"datePublic":"2026-08-12T00:00:00.000Z","credits":[{"lang":"en","value":"Nir Yehoshua from Cipher Security Labs","type":"finder"}],"source":{"discovery":"UNKNOWN"},"x_generator":{"engine":"vulncheck"}},"adp":[{"title":"CISA ADP Vulnrichment","metrics":[{"other":{"type":"ssvc","content":{"timestamp":"2026-08-12T17:03:56.133970Z","id":"CVE-2026-73325","options":[{"Exploitation":"none"},{"Automatable":"no"},{"Technical Impact":"total"}],"role":"CISA Coordinator","version":"2.0.3"}}}],"providerMetadata":{"shortName":"CISA-ADP","orgId":"134c704f-9b21-4f2e-91b3-4a467353bcc0","dateUpdated":"2026-08-12T19:19:27.441Z"}}]}}}