CVE-2025-54379

LF Edge eKuiper is a lightweight IoT data analytics and stream processing engine running on resource-constraint edge devices. In versions before 2.2.1, there is a critical SQL Injection vulnerability in the getLast API functionality of the eKuiper project. This flaw allows unauthenticated remote attackers to execute arbitrary SQL statements on the underlying SQLite database by manipulating the table name input in an API request. Exploitation can lead to data theft, corruption, or deletion, and full database compromise. This is fixed in version 2.2.1.

CVSS

No CVSS.

References

Link	Resource
https://github.com/lf-edge/ekuiper/commit/72c4918744934deebf04e324ae66933ec089ebd3
https://github.com/lf-edge/ekuiper/security/advisories/GHSA-526j-mv3p-f4vv
https://github.com/lf-edge/ekuiper/security/advisories/GHSA-526j-mv3p-f4vv

Configurations

No configuration.

History

25 Jul 2025, 14:15

Type	Values Removed	Values Added
References	~~() https://github.com/lf-edge/ekuiper/security/advisories/GHSA-526j-mv3p-f4vv -~~	() https://github.com/lf-edge/ekuiper/security/advisories/GHSA-526j-mv3p-f4vv -

24 Jul 2025, 23:15

Type	Values Removed	Values Added
New CVE

Information

Published : 2025-07-24 23:15

Updated : 2025-07-25 15:29

NVD link : CVE-2025-54379

Mitre link : CVE-2025-54379

CVE.ORG link : CVE-2025-54379

JSON object : View

Products Affected

No product.

CWE

CWE-89

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

{"id": "CVE-2025-54379", "cveTags": [], "metrics": {"cvssMetricV40": [{"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"Safety": "NOT_DEFINED", "version": "4.0", "Recovery": "NOT_DEFINED", "baseScore": 8.9, "Automatable": "NOT_DEFINED", "attackVector": "NETWORK", "baseSeverity": "HIGH", "valueDensity": "NOT_DEFINED", "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X", "exploitMaturity": "PROOF_OF_CONCEPT", "providerUrgency": "NOT_DEFINED", "userInteraction": "NONE", "attackComplexity": "LOW", "attackRequirements": "NONE", "privilegesRequired": "NONE", "subIntegrityImpact": "NONE", "vulnIntegrityImpact": "HIGH", "integrityRequirement": "NOT_DEFINED", "modifiedAttackVector": "NOT_DEFINED", "subAvailabilityImpact": "NONE", "vulnAvailabilityImpact": "HIGH", "availabilityRequirement": "NOT_DEFINED", "modifiedUserInteraction": "NOT_DEFINED", "modifiedAttackComplexity": "NOT_DEFINED", "subConfidentialityImpact": "NONE", "vulnConfidentialityImpact": "HIGH", "confidentialityRequirement": "NOT_DEFINED", "modifiedAttackRequirements": "NOT_DEFINED", "modifiedPrivilegesRequired": "NOT_DEFINED", "modifiedSubIntegrityImpact": "NOT_DEFINED", "modifiedVulnIntegrityImpact": "NOT_DEFINED", "vulnerabilityResponseEffort": "NOT_DEFINED", "modifiedSubAvailabilityImpact": "NOT_DEFINED", "modifiedVulnAvailabilityImpact": "NOT_DEFINED", "modifiedSubConfidentialityImpact": "NOT_DEFINED", "modifiedVulnConfidentialityImpact": "NOT_DEFINED"}}]}, "published": "2025-07-24T23:15:26.883", "references": [{"url": "https://github.com/lf-edge/ekuiper/commit/72c4918744934deebf04e324ae66933ec089ebd3", "source": "security-advisories@github.com"}, {"url": "https://github.com/lf-edge/ekuiper/security/advisories/GHSA-526j-mv3p-f4vv", "source": "security-advisories@github.com"}, {"url": "https://github.com/lf-edge/ekuiper/security/advisories/GHSA-526j-mv3p-f4vv", "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"}], "vulnStatus": "Awaiting Analysis", "weaknesses": [{"type": "Secondary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-89"}]}], "descriptions": [{"lang": "en", "value": "LF Edge eKuiper is a lightweight IoT data analytics and stream processing engine running on resource-constraint edge devices. In versions before 2.2.1, there is a critical SQL Injection vulnerability in the getLast API functionality of the eKuiper project. This flaw allows unauthenticated remote attackers to execute arbitrary SQL statements on the underlying SQLite database by manipulating the table name input in an API request. Exploitation can lead to data theft, corruption, or deletion, and full database compromise. This is fixed in version 2.2.1."}], "lastModified": "2025-07-25T15:29:19.837", "sourceIdentifier": "security-advisories@github.com"}