pysec-2024-72
Vulnerability from pysec
Published
2024-08-20 15:15
Modified
2024-09-18 07:04
Severity ?
Details
LF Edge eKuiper is a lightweight IoT data analytics and stream processing engine running on resource-constraint edge devices. A user could utilize and exploit SQL Injection to allow the execution of malicious SQL query via Get method in sqlKvStore. This vulnerability is fixed in 1.14.2.
Aliases
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "ekuiper", "purl": "pkg:pypi/ekuiper" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "1a9c745649438feaac357d282959687012b65503" } ], "repo": "https://github.com/lf-edge/ekuiper", "type": "GIT" }, { "events": [ { "introduced": "0" }, { "fixed": "1.14.2" } ], "type": "ECOSYSTEM" } ], "versions": [ "0.0.1.post10035392509", "0.0.1.post10469657945", "0.0.1.post1529761077", "0.0.1.post1640190752", "0.0.1.post1656951467", "0.0.1.post1661454534", "0.0.1.post1707338123", "0.0.1.post1926549727", "0.0.1.post2080668443", "0.0.1.post2238139389", "0.0.1.post2474892687", "0.0.1.post2757722354", "0.0.1.post2910672767", "0.0.1.post2911616762", "0.0.1.post3144438011", "0.0.1.post3239329472", "0.0.1.post3334144675", "0.0.1.post3334852441", "0.0.1.post3410331757", "0.0.1.post3411321026", "0.0.1.post3495668732", "0.0.1.post3545948676", "0.0.1.post3712037225", "0.0.1.post3764011091", "0.0.1.post3936265927", "0.0.1.post3954842791", "0.0.1.post4180521993", "0.0.1.post4435707843", "0.0.1.post4562358382", "0.0.1.post4720014312", "0.0.1.post5010322351", "0.0.1.post5065833905", "0.0.1.post5265725915", "0.0.1.post5484225879", "0.0.1.post5899657036", "0.0.1.post6045113904", "0.0.1.post6144238120", "0.0.1.post6453363172", "0.0.1.post6555916078", "0.0.1.post6820182077", "0.0.1.post7205401650", "0.0.1.post7257106983", "0.0.1.post7404344961", "0.0.1.post7405252226", "0.0.1.post7458781898", "0.0.1.post7797037221", "0.0.1.post7983964087", "0.0.1.post8014428509", "0.0.1.post8150341330", "0.0.1.post8273699428", "0.0.1.post8319707068", "0.0.1.post8478752636", "0.0.1.post8782256682", "0.0.1.post8813247801", "0.0.1.post8829897389", "0.0.1.post9220188115", "0.0.1.post9638601298", "0.0.1.post9690215560", "0.0.1.post9736400841", "1.10.0", "1.10.1", "1.10.2", "1.11.0", "1.11.1", "1.11.2", "1.11.3", "1.11.4", "1.11.5", "1.12.0", "1.12.1", "1.12.2", "1.12.3", "1.12.4", "1.12.5", "1.12.6", "1.12.7", "1.12.8", "1.13.0", "1.13.1", "1.13.2", "1.13.3", "1.13.4", "1.13.5", "1.13.6", "1.14.0", "1.14.1", "1.4.0", "1.4.1", "1.4.2", "1.4.3", "1.4.4", "1.5.0", "1.5.1", "1.6.0", "1.6.1", "1.6.2", "1.6.3", "1.7.0", "1.7.1", "1.7.2", "1.7.3", "1.7.4", "1.7.5", "1.7.6", "1.8.0", "1.8.1", "1.8.2", "1.9.0", "1.9.1", "1.9.2", "0.0.1.post10592133245", "0.0.1.post10917063435" ] } ], "aliases": [ "CVE-2024-43406", "GHSA-r5ph-4jxm-6j9p" ], "details": "LF Edge eKuiper is a lightweight IoT data analytics and stream processing engine running on resource-constraint edge devices. A user could utilize and exploit SQL Injection to allow the execution of malicious SQL query via Get method in sqlKvStore. This vulnerability is fixed in 1.14.2.", "id": "PYSEC-2024-72", "modified": "2024-09-18T07:04:07.042699Z", "published": "2024-08-20T15:15:00Z", "references": [ { "type": "EVIDENCE", "url": "https://github.com/lf-edge/ekuiper/security/advisories/GHSA-r5ph-4jxm-6j9p" }, { "type": "ADVISORY", "url": "https://github.com/lf-edge/ekuiper/security/advisories/GHSA-r5ph-4jxm-6j9p" }, { "type": "FIX", "url": "https://github.com/lf-edge/ekuiper/commit/1a9c745649438feaac357d282959687012b65503" } ], "severity": [ { "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "type": "CVSS_V3" } ] }
Loading...
Loading...
Sightings
Author | Source | Type | Date |
---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.