131 lines
5.4 KiB
JSON
131 lines
5.4 KiB
JSON
{
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"dataType": "CVE_RECORD",
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"cveMetadata": {
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"state": "PUBLISHED",
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"cveId": "CVE-2026-31253",
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"assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
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"assignerShortName": "mitre",
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"dateUpdated": "2026-05-12T19:32:41.020Z",
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"dateReserved": "2026-03-09T00:00:00.000Z",
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"datePublished": "2026-05-11T00:00:00.000Z"
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},
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"containers": {
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"cna": {
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"providerMetadata": {
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"orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
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"shortName": "mitre",
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"dateUpdated": "2026-05-11T15:40:10.644Z"
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},
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"descriptions": [
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{
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"lang": "en",
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"value": "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."
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}
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],
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"affected": [
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{
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"vendor": "n/a",
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"product": "n/a",
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"versions": [
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{
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"version": "n/a",
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"status": "affected"
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}
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]
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}
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],
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"references": [
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{
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"url": "https://github.com/Dao-AILab/flash-attention"
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},
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{
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"url": "https://www.notion.so/CVE-2026-31253-35d1e1393188813f9e77e2038104bc49"
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}
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],
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"problemTypes": [
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{
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"descriptions": [
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{
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"type": "text",
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"lang": "en",
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"description": "n/a"
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}
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]
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}
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]
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},
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"adp": [
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{
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"problemTypes": [
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{
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"descriptions": [
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{
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"type": "CWE",
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"cweId": "CWE-502",
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"lang": "en",
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"description": "CWE-502 Deserialization of Untrusted Data"
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}
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]
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},
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{
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"descriptions": [
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{
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"type": "CWE",
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"cweId": "CWE-94",
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"lang": "en",
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"description": "CWE-94 Improper Control of Generation of Code ('Code Injection')"
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}
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]
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}
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],
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"metrics": [
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{
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"cvssV3_1": {
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"scope": "UNCHANGED",
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"version": "3.1",
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"baseScore": 7.3,
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"attackVector": "NETWORK",
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"baseSeverity": "HIGH",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
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"integrityImpact": "LOW",
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"userInteraction": "NONE",
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"attackComplexity": "LOW",
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"availabilityImpact": "LOW",
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"privilegesRequired": "NONE",
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"confidentialityImpact": "LOW"
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}
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},
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{
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"other": {
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"type": "ssvc",
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"content": {
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"timestamp": "2026-05-12T19:32:06.944533Z",
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"id": "CVE-2026-31253",
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"options": [
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{
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"Exploitation": "none"
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},
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{
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"Automatable": "no"
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},
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{
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"Technical Impact": "partial"
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}
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],
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"role": "CISA Coordinator",
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"version": "2.0.3"
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}
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}
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}
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],
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"title": "CISA ADP Vulnrichment",
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"providerMetadata": {
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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"shortName": "CISA-ADP",
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"dateUpdated": "2026-05-12T19:32:41.020Z"
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}
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}
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]
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},
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"dataVersion": "5.2"
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} |