{"api_version":"1","generated_at":"2026-05-13T07:40:32+00:00","cve":"CVE-2026-31235","urls":{"html":"https://cve.report/CVE-2026-31235","api":"https://cve.report/api/cve/CVE-2026-31235.json","docs":"https://cve.report/api","cve_org":"https://www.cve.org/CVERecord?id=CVE-2026-31235","nvd":"https://nvd.nist.gov/vuln/detail/CVE-2026-31235"},"summary":{"title":"CVE-2026-31235","description":"The imgaug library thru 0.4.0 contains an insecure deserialization vulnerability in its BackgroundAugmenter class within the multicore.py module. The class uses Python's pickle module to deserialize data received via a multiprocessing queue in the _augment_images_worker() method without any safety checks. An attacker who can influence the data placed into this queue (e.g., through social engineering, malicious input scripts, or a compromised shared queue) can provide a malicious pickle payload. When deserialized, this payload can execute arbitrary code in the context of the worker process, leading to remote or local code execution depending on the deployment scenario.","state":"PUBLISHED","assigner":"mitre","published_at":"2026-05-12 18:16:51","updated_at":"2026-05-12 18:16:51"},"problem_types":["n/a"],"metrics":[],"references":[{"url":"https://github.com/aleju/imgaug","name":"https://github.com/aleju/imgaug","refsource":"cve@mitre.org","tags":[],"title":"","mime":"","httpstatus":"","archivestatus":"0"},{"url":"https://www.notion.so/CVE-2026-31235-35d1e139318881efb701d814228424a9","name":"https://www.notion.so/CVE-2026-31235-35d1e139318881efb701d814228424a9","refsource":"cve@mitre.org","tags":[],"title":"","mime":"","httpstatus":"","archivestatus":"0"},{"url":"https://www.cve.org/CVERecord?id=CVE-2026-31235","name":"CVE Program record","refsource":"CVE.ORG","tags":["canonical"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-31235","name":"NVD vulnerability detail","refsource":"NVD","tags":["canonical","analysis"]}],"affected":[{"source":"CNA","vendor":"n/a","product":"n/a","version":"affected n/a","platforms":[]}],"timeline":[],"solutions":[],"workarounds":[],"exploits":[],"credits":[],"nvd_cpes":[],"vendor_comments":[],"enrichments":{"kev":null,"epss":null,"legacy_qids":[]},"source_records":{"cve_program":{"containers":{"cna":{"affected":[{"product":"n/a","vendor":"n/a","versions":[{"status":"affected","version":"n/a"}]}],"descriptions":[{"lang":"en","value":"The imgaug library thru 0.4.0 contains an insecure deserialization vulnerability in its BackgroundAugmenter class within the multicore.py module. The class uses Python's pickle module to deserialize data received via a multiprocessing queue in the _augment_images_worker() method without any safety checks. An attacker who can influence the data placed into this queue (e.g., through social engineering, malicious input scripts, or a compromised shared queue) can provide a malicious pickle payload. When deserialized, this payload can execute arbitrary code in the context of the worker process, leading to remote or local code execution depending on the deployment scenario."}],"problemTypes":[{"descriptions":[{"description":"n/a","lang":"en","type":"text"}]}],"providerMetadata":{"dateUpdated":"2026-05-12T17:11:49.463Z","orgId":"8254265b-2729-46b6-b9e3-3dfca2d5bfca","shortName":"mitre"},"references":[{"url":"https://github.com/aleju/imgaug"},{"url":"https://www.notion.so/CVE-2026-31235-35d1e139318881efb701d814228424a9"}]}},"cveMetadata":{"assignerOrgId":"8254265b-2729-46b6-b9e3-3dfca2d5bfca","assignerShortName":"mitre","cveId":"CVE-2026-31235","datePublished":"2026-05-12T00:00:00.000Z","dateReserved":"2026-03-09T00:00:00.000Z","dateUpdated":"2026-05-12T17:11:49.463Z","state":"PUBLISHED"},"dataType":"CVE_RECORD","dataVersion":"5.2"},"nvd":{"publishedDate":"2026-05-12 18:16:51","lastModifiedDate":"2026-05-12 18:16:51","problem_types":["n/a"],"metrics":[],"configurations":[]},"legacy_mitre":{"record":{"CveYear":"2026","CveId":"31235","Ordinal":"1","Title":"CVE-2026-31235","CVE":"CVE-2026-31235","Year":"2026"},"notes":[{"CveYear":"2026","CveId":"31235","Ordinal":"1","NoteData":"The imgaug library thru 0.4.0 contains an insecure deserialization vulnerability in its BackgroundAugmenter class within the multicore.py module. The class uses Python's pickle module to deserialize data received via a multiprocessing queue in the _augment_images_worker() method without any safety checks. An attacker who can influence the data placed into this queue (e.g., through social engineering, malicious input scripts, or a compromised shared queue) can provide a malicious pickle payload. When deserialized, this payload can execute arbitrary code in the context of the worker process, leading to remote or local code execution depending on the deployment scenario.","Type":"Description","Title":"CVE-2026-31235"}]}}}