{"id":"CVE-2023-0435","url":"https://www.cyber-defence.io/tools/cve/CVE-2023-0435","generatedAt":"2026-10-27T19:39:57.773Z","title":"Excessive Attack Surface in GitHub repository pyload/pyload prior to 0.5.0b3.dev41.","description":"Excessive Attack Surface in GitHub repository pyload/pyload prior to 0.5.0b3.dev41.","published":"2023-01-22T22:15:10.000Z","lastModified":"2026-06-17T05:25:33.000Z","status":"Modified","sourceIdentifier":"security@huntr.dev","cvss":{"version":"3.1","score":9.8,"severity":"CRITICAL","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"},"cwe":["CWE-1125"],"affected":["pyload/pyload"],"epss":{"score":0.00726,"percentile":0.53847,"date":"2026-10-26","history":[]},"kev":{"listed":false},"exploits":{"count":0,"verified":false,"firstPublished":null,"source":"Exploit-DB (https://gitlab.com/exploit-database/exploitdb)","entries":[]},"verdict":{"level":"high","text":"High impact if exploited, but EPSS currently rates exploitation as unlikely (0.73%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit."},"changes":[],"references":[{"url":"https://github.com/pyload/pyload/commit/431ea6f0371d748df66b344a05ca1a8e0310cff3","tags":["Patch","Third Party Advisory"],"source":"security@huntr.dev"},{"url":"https://huntr.dev/bounties/a3e32ad5-caee-4f43-b10a-4a876d4e3f1d","tags":["Exploit","Patch","Third Party Advisory"],"source":"security@huntr.dev"},{"url":"https://github.com/pyload/pyload/commit/431ea6f0371d748df66b344a05ca1a8e0310cff3","tags":["Patch","Third Party Advisory"],"source":"af854a3a-2127-422b-91ae-364da2661108"},{"url":"https://huntr.dev/bounties/a3e32ad5-caee-4f43-b10a-4a876d4e3f1d","tags":["Exploit","Patch","Third Party Advisory"],"source":"af854a3a-2127-422b-91ae-364da2661108"}],"sources":{"nvd":"https://nvd.nist.gov/vuln/detail/CVE-2023-0435","epss":"https://www.first.org/epss/","kev":"https://www.cisa.gov/known-exploited-vulnerabilities-catalog","exploitdb":"https://www.exploit-db.com/"},"licence":"CC BY 4.0 — link back to the CVE Explorer if you publish the results; upstream data remains subject to its own terms."}