{"cve":{"cve_id":"CVE-2026-12570","is_kev":false,"kev_date_added":null,"kev_vendor_project":null,"kev_product":null,"kev_vulnerability_name":null,"kev_short_description":null,"kev_required_action":null,"kev_due_date":null,"kev_known_ransomware":null,"kev_notes":null,"kev_cwes":null,"epss_score":0.00128,"epss_percentile":0.0267,"epss_as_of":"2026-08-26","description":"A vulnerability in keras-team/keras versions <= 3.15.0 allows for a denial of service (DoS) attack when loading malicious .keras model files via the keras.models.load_model() function. The H5IOStore.__getitem__ method in keras/src/saving/saving_lib.py does not validate the shape or size of datasets, leading to unbounded memory allocation. A specially crafted .keras file can exploit this flaw to trigger an out-of-memory (OOM) condition, causing the process to be terminated (exit code 137). This issue bypasses the fix for CVE-2026-0897, which only addressed a similar vulnerability in KerasFileEditor. The attack vector includes poisoned models from public repositories or malicious model registries, posing a risk to machine learning pipelines that process untrusted models.","published_at":"2026-08-10T06:29:56.111000Z","last_modified_at":"2026-08-10T18:17:39.187000Z","cvss_v3_score":5.5,"cvss_v3_vector":"CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H","cvss_v3_severity":"MEDIUM","cvss_v4_score":null,"cvss_v4_vector":null,"cvss_v4_severity":null,"ssvc_decision":null,"ssvc_exploitation":"poc","ssvc_automatable":false,"ssvc_technical_impact":"partial","cwes":["CWE-770"],"nvd_references":["https://huntr.com/bounties/a064f475-780a-409a-82f7-678512f27ad8","https://github.com/keras-team/keras/commit/4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c"],"vuln_status":"Received","trending_score":null,"is_trending":false,"has_trended":false,"trended_number_one":false,"trending_peak_score":null,"trending_peak_rank":null,"started_trending_at":null,"trended_number_one_at":null,"summary_generated":null,"summary_generated_at":null,"summary_model":null,"created_at":"2026-08-10T08:16:49.996328Z","updated_at":"2026-08-13T20:36:50.623501Z"},"effective_severity":"MEDIUM","badges":[],"impact_analysis":[],"cvss_v3_decoded":{"version":"3.0","metrics":[{"metric":"AV","name":"Attack Vector","value":"L","value_label":"Local"},{"metric":"AC","name":"Attack Complexity","value":"L","value_label":"Low"},{"metric":"PR","name":"Privileges Required","value":"N","value_label":"None"},{"metric":"UI","name":"User Interaction","value":"R","value_label":"Required"},{"metric":"S","name":"Scope","value":"U","value_label":"Unchanged"},{"metric":"C","name":"Confidentiality","value":"N","value_label":"None"},{"metric":"I","name":"Integrity","value":"N","value_label":"None"},{"metric":"A","name":"Availability","value":"H","value_label":"High"}]},"cvss_v4_decoded":{"version":null,"metrics":[]},"affected":[{"vendor_slug":"keras-team","vendor_name":"keras-team","product_slug":"keras-team-keras","product_name":"keras-team/keras","version_start":"unspecified","version_start_inclusive":true,"version_end":"3.12.3, 3.15.0","version_end_inclusive":false,"cpe23_uri":"cve5:keras-team:keras-team-keras:unspecified:3.12.3, 3.15.0"}],"exploit_refs":[],"news":[],"references":[{"url":"https://huntr.com/bounties/a064f475-780a-409a-82f7-678512f27ad8","source_type":"MISC","tags":[]},{"url":"https://github.com/keras-team/keras/commit/4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c","source_type":"PATCH","tags":["patch"]}],"timeline":[{"type":"published","at":"2026-08-10T06:29:56.111000Z","label":"CVE published","source":null},{"type":"ssvc_changed","at":"2026-08-10T18:17:49.987640Z","label":"SSVC decision revised","source":"vulnrichment"},{"type":"ssvc_changed","at":"2026-08-10T18:17:49.987640Z","label":"SSVC decision revised","source":"vulnrichment"},{"type":"ssvc_changed","at":"2026-08-10T18:17:49.987640Z","label":"SSVC decision revised","source":"vulnrichment"}]}