{"history":[{"alert":0,"cve":"CVE-2026-115878","id":23064,"kind":"epss","observed_at":1794500401,"payload":"{\"date\": \"2026-11-12\", \"epss\": 0.00597, \"percentile\": 0.49084}"},{"alert":0,"cve":"CVE-2026-115878","id":20599,"kind":"epss","observed_at":1794327601,"payload":"{\"date\": \"2026-11-10\", \"epss\": 0.00597, \"percentile\": 0.48921}"},{"alert":0,"cve":"CVE-2026-115878","id":18584,"kind":"epss","observed_at":1794241201,"payload":"{\"date\": \"2026-11-09\", \"epss\": 0.00597, \"percentile\": 0.48868}"},{"alert":0,"cve":"CVE-2026-115878","id":16652,"kind":"epss","observed_at":1794154800,"payload":"{\"date\": \"2026-11-08\", \"epss\": 0.00597, \"percentile\": 0.4885}"},{"alert":0,"cve":"CVE-2026-115878","id":14630,"kind":"epss","observed_at":1794068402,"payload":"{\"date\": \"2026-11-07\", \"epss\": 0.00597, \"percentile\": 0.4883}"},{"alert":0,"cve":"CVE-2026-115878","id":12412,"kind":"epss","observed_at":1793982001,"payload":"{\"date\": \"2026-11-06\", \"epss\": 0.00597, \"percentile\": 0.48769}"},{"alert":0,"cve":"CVE-2026-115878","id":10399,"kind":"epss","observed_at":1793938800,"payload":"{\"date\": \"2026-11-05\", \"epss\": 0.00597, \"percentile\": 0.48731}"},{"alert":0,"cve":"CVE-2026-115878","id":7949,"kind":"epss","observed_at":1793809200,"payload":"{\"date\": \"2026-11-04\", \"epss\": 0.00597, \"percentile\": 0.48705}"},{"alert":1,"cve":"CVE-2026-115878","id":6127,"kind":"cna","observed_at":1793787601,"payload":"{\"containers\": {\"adp\": [{\"metrics\": [{\"other\": {\"content\": {\"id\": \"CVE-2026-115878\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"total\"}], \"role\": \"CISA Coordinator\", \"timestamp\": \"2026-11-03T22:36:42.446948Z\", \"version\": \"2.0.3\"}, \"type\": \"ssvc\"}}], \"providerMetadata\": {\"dateUpdated\": \"2026-11-03T22:39:36.547Z\", \"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\"}, \"title\": \"CISA ADP Vulnrichment\"}], \"cna\": {\"affected\": [{\"product\": \"stanza\", \"vendor\": \"stanfordnlp\", \"versions\": [{\"status\": \"affected\", \"version\": \"= 1.14.0\"}]}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"Stanza is a Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages. From 1.14.0 until 1.15.0, loading an attacker-supplied lemmatizer checkpoint can execute arbitrary code because stanza/models/lemma/trainer.py stores pos_dict as gzip-compressed pickle bytes and Trainer.load passes the decompressed stream to unrestricted pickle.loads. The outer torch.load call uses weights_only=True, but the nested bytes are treated as a primitive and are not inspected by that allowlist. The path is reachable during pipeline construction through a caller-influenced lemma_model_path, before inference begins. This issue is fixed in version 1.15.0.\"}], \"metrics\": [{\"cvssV3_1\": {\"attackComplexity\": \"LOW\", \"attackVector\": \"LOCAL\", \"availabilityImpact\": \"HIGH\", \"baseScore\": 7.8, \"baseSeverity\": \"HIGH\", \"confidentialityImpact\": \"HIGH\", \"integrityImpact\": \"HIGH\", \"privilegesRequired\": \"NONE\", \"scope\": \"UNCHANGED\", \"userInteraction\": \"REQUIRED\", \"vectorString\": \"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\", \"version\": \"3.1\"}}], \"problemTypes\": [{\"descriptions\": [{\"cweId\": \"CWE-94\", \"description\": \"CWE-94: Improper Control of Generation of Code ('Code Injection')\", \"lang\": \"en\", \"type\": \"CWE\"}]}, {\"descriptions\": [{\"cweId\": \"CWE-502\", \"description\": \"CWE-502: Deserialization of Untrusted Data\", \"lang\": \"en\", \"type\": \"CWE\"}]}], \"providerMetadata\": {\"dateUpdated\": \"2026-11-03T20:26:02.220Z\", \"orgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"shortName\": \"GitHub_M\"}, \"references\": [{\"name\": \"https://github.com/stanfordnlp/stanza/security/advisories/GHSA-gh9r-c94j-cmp5\", \"tags\": [\"x_refsource_CONFIRM\"], \"url\": \"https://github.com/stanfordnlp/stanza/security/advisories/GHSA-gh9r-c94j-cmp5\"}, {\"name\": \"https://github.com/stanfordnlp/stanza/pull/1649\", \"tags\": [\"x_refsource_MISC\"], \"url\": \"https://github.com/stanfordnlp/stanza/pull/1649\"}, {\"name\": \"https://github.com/stanfordnlp/stanza/commit/b21e1c9b47b4fccff21d3b0a6c0687a19410c2f0\", \"tags\": [\"x_refsource_MISC\"], \"url\": \"https://github.com/stanfordnlp/stanza/commit/b21e1c9b47b4fccff21d3b0a6c0687a19410c2f0\"}, {\"name\": \"https://github.com/stanfordnlp/stanza/releases/tag/v1.15.0\", \"tags\": [\"x_refsource_MISC\"], \"url\": \"https://github.com/stanfordnlp/stanza/releases/tag/v1.15.0\"}], \"source\": {\"advisory\": \"GHSA-gh9r-c94j-cmp5\", \"discovery\": \"UNKNOWN\"}, \"title\": \"Stanza: RCE via pickle deserialization in the lemmatizer\"}}, \"cveMetadata\": {\"assignerOrgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"assignerShortName\": \"GitHub_M\", \"cveId\": \"CVE-2026-115878\", \"datePublished\": \"2026-11-03T20:26:02.220Z\", \"dateReserved\": \"2026-10-23T19:37:27.176Z\", \"dateUpdated\": \"2026-11-03T22:39:36.547Z\", \"state\": \"PUBLISHED\"}, \"dataType\": \"CVE_RECORD\", \"dataVersion\": \"5.2\"}"}],"record":{"affected":[{"product":"stanza","vendor":"stanfordnlp","versions":[{"status":"affected","version":"= 1.14.0"}]}],"cna":{"containers":{"adp":[{"metrics":[{"other":{"content":{"id":"CVE-2026-115878","options":[{"Exploitation":"none"},{"Automatable":"no"},{"Technical Impact":"total"}],"role":"CISA Coordinator","timestamp":"2026-11-03T22:36:42.446948Z","version":"2.0.3"},"type":"ssvc"}}],"providerMetadata":{"dateUpdated":"2026-11-03T22:39:36.547Z","orgId":"134c704f-9b21-4f2e-91b3-4a467353bcc0","shortName":"CISA-ADP"},"title":"CISA ADP Vulnrichment"}],"cna":{"affected":[{"product":"stanza","vendor":"stanfordnlp","versions":[{"status":"affected","version":"= 1.14.0"}]}],"descriptions":[{"lang":"en","value":"Stanza is a Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages. From 1.14.0 until 1.15.0, loading an attacker-supplied lemmatizer checkpoint can execute arbitrary code because stanza/models/lemma/trainer.py stores pos_dict as gzip-compressed pickle bytes and Trainer.load passes the decompressed stream to unrestricted pickle.loads. The outer torch.load call uses weights_only=True, but the nested bytes are treated as a primitive and are not inspected by that allowlist. The path is reachable during pipeline construction through a caller-influenced lemma_model_path, before inference begins. This issue is fixed in version 1.15.0."}],"metrics":[{"cvssV3_1":{"attackComplexity":"LOW","attackVector":"LOCAL","availabilityImpact":"HIGH","baseScore":7.8,"baseSeverity":"HIGH","confidentialityImpact":"HIGH","integrityImpact":"HIGH","privilegesRequired":"NONE","scope":"UNCHANGED","userInteraction":"REQUIRED","vectorString":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","version":"3.1"}}],"problemTypes":[{"descriptions":[{"cweId":"CWE-94","description":"CWE-94: Improper Control of Generation of Code ('Code Injection')","lang":"en","type":"CWE"}]},{"descriptions":[{"cweId":"CWE-502","description":"CWE-502: Deserialization of Untrusted Data","lang":"en","type":"CWE"}]}],"providerMetadata":{"dateUpdated":"2026-11-03T20:26:02.220Z","orgId":"a0819718-46f1-4df5-94e2-005712e83aaa","shortName":"GitHub_M"},"references":[{"name":"https://github.com/stanfordnlp/stanza/security/advisories/GHSA-gh9r-c94j-cmp5","tags":["x_refsource_CONFIRM"],"url":"https://github.com/stanfordnlp/stanza/security/advisories/GHSA-gh9r-c94j-cmp5"},{"name":"https://github.com/stanfordnlp/stanza/pull/1649","tags":["x_refsource_MISC"],"url":"https://github.com/stanfordnlp/stanza/pull/1649"},{"name":"https://github.com/stanfordnlp/stanza/commit/b21e1c9b47b4fccff21d3b0a6c0687a19410c2f0","tags":["x_refsource_MISC"],"url":"https://github.com/stanfordnlp/stanza/commit/b21e1c9b47b4fccff21d3b0a6c0687a19410c2f0"},{"name":"https://github.com/stanfordnlp/stanza/releases/tag/v1.15.0","tags":["x_refsource_MISC"],"url":"https://github.com/stanfordnlp/stanza/releases/tag/v1.15.0"}],"source":{"advisory":"GHSA-gh9r-c94j-cmp5","discovery":"UNKNOWN"},"title":"Stanza: RCE via pickle deserialization in the lemmatizer"}},"cveMetadata":{"assignerOrgId":"a0819718-46f1-4df5-94e2-005712e83aaa","assignerShortName":"GitHub_M","cveId":"CVE-2026-115878","datePublished":"2026-11-03T20:26:02.220Z","dateReserved":"2026-10-23T19:37:27.176Z","dateUpdated":"2026-11-03T22:39:36.547Z","state":"PUBLISHED"},"dataType":"CVE_RECORD","dataVersion":"5.2"},"cna_checked":1794522003,"cve":"CVE-2026-115878","description":"Stanza is a Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages. From 1.14.0 until 1.15.0, loading an attacker-supplied lemmatizer checkpoint can execute arbitrary code because stanza/models/lemma/trainer.py stores pos_dict as gzip-compressed pickle bytes and Trainer.load passes the decompressed stream to unrestricted pickle.loads. The outer torch.load call uses weights_only=True, but the nested bytes are treated as a primitive and are not inspected by that allowlist. The path is reachable during pipeline construction through a caller-influenced lemma_model_path, before inference begins. This issue is fixed in version 1.15.0.","epss":{"date":"2026-11-12","epss":0.00597,"percentile":0.49084},"epss_checked":1794522003,"first_seen":1793772006,"kev":null,"kev_checked":1794522003,"products":"stanfordnlp stanza","references":["https://github.com/stanfordnlp/stanza/security/advisories/GHSA-gh9r-c94j-cmp5","https://github.com/stanfordnlp/stanza/pull/1649","https://github.com/stanfordnlp/stanza/commit/b21e1c9b47b4fccff21d3b0a6c0687a19410c2f0","https://github.com/stanfordnlp/stanza/releases/tag/v1.15.0"],"score":{"attackComplexity":"LOW","attackVector":"LOCAL","availabilityImpact":"HIGH","baseScore":7.8,"baseSeverity":"HIGH","confidentialityImpact":"HIGH","integrityImpact":"HIGH","privilegesRequired":"NONE","provider":"GitHub_M","scope":"UNCHANGED","userInteraction":"REQUIRED","vectorString":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","version":"3.1"},"solutions":"","state":"PUBLISHED","title":"Stanza: RCE via pickle deserialization in the lemmatizer","updated_at":1794500401,"workarounds":""},"sources":[{"canonical_url":"https://github.com/advisories/GHSA-gh9r-c94j-cmp5","id":182,"publisher":"GitHub Advisory Database","title":"Stanza: RCE via pickle deserialization in the lemmatizer"}]}