{"url":"http://public2.vulnerablecode.io/api/packages/1068242?format=json","purl":"pkg:pypi/flash-attn@1.0.2","type":"pypi","namespace":"","name":"flash-attn","version":"1.0.2","qualifiers":{},"subpath":"","is_vulnerable":true,"next_non_vulnerable_version":null,"latest_non_vulnerable_version":null,"affected_by_vulnerabilities":[{"url":"http://public2.vulnerablecode.io/api/vulnerabilities/71244?format=json","vulnerability_id":"VCID-h59a-wm58-qfdp","summary":"The flash-attention training framework thru commit e724e2588cbe754beb97cf7c011b5e7e34119e62 (2025-13-04) contains an insecure deserialization vulnerability (CWE-502) in its checkpoint loading mechanism. The load_checkpoint() function in checkpoint.py and the checkpoint loading code in eval.py use torch.load() without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a maliciously crafted checkpoint file. When a victim loads this checkpoint during model warmstarting or evaluation, arbitrary code is executed on the victim's system.","references":[{"reference_url":"https://api.first.org/data/v1/epss?cve=CVE-2026-31253","reference_id":"","reference_type":"","scores":[{"value":"0.00047","scoring_system":"epss","scoring_elements":"0.14925","published_at":"2026-06-11T12:55:00Z"}],"url":"https://api.first.org/data/v1/epss?cve=CVE-2026-31253"},{"reference_url":"https://nvd.nist.gov/vuln/detail/CVE-2026-31253","reference_id":"","reference_type":"","scores":[{"value":"7.3","scoring_system":"cvssv3.1","scoring_elements":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L"},{"value":"HIGH","scoring_system":"generic_textual","scoring_elements":""}],"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-31253"},{"reference_url":"https://www.notion.so/CVE-2026-31253-35d1e1393188813f9e77e2038104bc49","reference_id":"CVE-2026-31253-35d1e1393188813f9e77e2038104bc49","reference_type":"","scores":[{"value":"7.3","scoring_system":"cvssv3.1","scoring_elements":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L"},{"value":"HIGH","scoring_system":"generic_textual","scoring_elements":""},{"value":"Track","scoring_system":"ssvc","scoring_elements":"SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2026-05-12T19:32:06Z/"}],"url":"https://www.notion.so/CVE-2026-31253-35d1e1393188813f9e77e2038104bc49"},{"reference_url":"https://github.com/Dao-AILab/flash-attention","reference_id":"flash-attention","reference_type":"","scores":[{"value":"7.3","scoring_system":"cvssv3.1","scoring_elements":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L"},{"value":"HIGH","scoring_system":"generic_textual","scoring_elements":""},{"value":"Track","scoring_system":"ssvc","scoring_elements":"SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2026-05-12T19:32:06Z/"}],"url":"https://github.com/Dao-AILab/flash-attention"},{"reference_url":"https://github.com/advisories/GHSA-7g5w-pq96-8c5w","reference_id":"GHSA-7g5w-pq96-8c5w","reference_type":"","scores":[],"url":"https://github.com/advisories/GHSA-7g5w-pq96-8c5w"}],"fixed_packages":[],"aliases":["CVE-2026-31253","GHSA-7g5w-pq96-8c5w"],"risk_score":null,"exploitability":null,"weighted_severity":null,"resource_url":"http://public2.vulnerablecode.io/vulnerabilities/VCID-h59a-wm58-qfdp"}],"fixing_vulnerabilities":[],"risk_score":null,"resource_url":"http://public2.vulnerablecode.io/packages/pkg:pypi/flash-attn@1.0.2"}