{"id":"CVE-2023-26145","url":"https://www.cyber-defence.io/tools/cve/CVE-2023-26145","generatedAt":"2026-10-28T07:26:02.958Z","title":"These paths can be used to target internal class attributes and dict items, to retrieve, modify or invoke nested Python objects. **Note:** The pydash.objects.invoke() method is vulnerable to Command Injection when the following prerequisites are…","description":"This affects versions of the package pydash before 6.0.0. A number of pydash methods such as pydash.objects.invoke() and pydash.collections.invoke_map() accept dotted paths (Deep Path Strings) to target a nested Python object, relative to the original source object. These paths can be used to target internal class attributes and dict items, to retrieve, modify or invoke nested Python objects.\r\r**Note:**\r\rThe pydash.objects.invoke() method is vulnerable to Command Injection when the following prerequisites are satisfied:\r\r1) The source object (argument 1) is not a built-in object such as list/dict (otherwise, the __init__.__globals__ path is not accessible)\r\r2) The attacker has control over argument 2 (the path string) and argument 3 (the argument to pass to the invoked method)\r\r\rThe pydash.collections.invoke_map() method is also vulnerable, but is harder to exploit as the attacker does not have direct control over the argument to be passed to the invoked function.","published":"2023-09-28T05:15:46.000Z","lastModified":"2026-06-17T05:42:47.000Z","status":"Modified","sourceIdentifier":"report@snyk.io","cvss":{"version":"3.1","score":8.1,"severity":"HIGH","vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H"},"cwe":["CWE-78","CWE-77","CWE-94"],"affected":["derrickgilland/pydash"],"epss":{"score":0.03595,"percentile":0.89384,"date":"2026-10-27","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 (3.60%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit."},"changes":[],"references":[{"url":"https://gist.github.com/CalumHutton/45d33e9ea55bf4953b3b31c84703dfca","tags":["Exploit","Third Party Advisory"],"source":"report@snyk.io"},{"url":"https://github.com/dgilland/pydash/commit/6ff0831ad285fff937cafd2a853f20cc9ae92021","tags":["Patch"],"source":"report@snyk.io"},{"url":"https://security.snyk.io/vuln/SNYK-PYTHON-PYDASH-5916518","tags":["Third Party Advisory"],"source":"report@snyk.io"},{"url":"https://gist.github.com/CalumHutton/45d33e9ea55bf4953b3b31c84703dfca","tags":["Exploit","Third Party Advisory"],"source":"af854a3a-2127-422b-91ae-364da2661108"},{"url":"https://github.com/dgilland/pydash/commit/6ff0831ad285fff937cafd2a853f20cc9ae92021","tags":["Patch"],"source":"af854a3a-2127-422b-91ae-364da2661108"},{"url":"https://security.snyk.io/vuln/SNYK-PYTHON-PYDASH-5916518","tags":["Third Party Advisory"],"source":"af854a3a-2127-422b-91ae-364da2661108"}],"sources":{"nvd":"https://nvd.nist.gov/vuln/detail/CVE-2023-26145","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."}