Is CVE-2022-35598 actively exploited?

No active exploitation of CVE-2022-35598 has been confirmed so far. Continue monitoring, as exploit status can change.

Can CVE-2022-35598 be exploited remotely?

Yes. CVE-2022-35598 is exploitable remotely over the network (CVSS attack vector: Network).

What is the CVSS score of CVE-2022-35598?

CVE-2022-35598 has a CVSS score of 9.8 (CRITICAL).

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CRITICAL

CVE-2022-35598

CWE-89Published: August 18, 2022· Updated: Jun 17, 2026

9.8

CVSS v3.1

Official Description

A SQL injection vulnerability in ConnectionFactoryDAO.java in sazanrjb InventoryManagementSystem 1.0 allows attackers to execute arbitrary SQL commands via parameter username.

NVD Source

Risk Analysis

A SQL injection vulnerability exists in the ConnectionFactoryDAO.java component of the InventoryManagementSystem. Attackers can exploit this via the username parameter to execute arbitrary SQL commands. The 9.8 CVSS score signifies a critical risk to the system.

There is no known public exploit, and it is not in the CISA KEV. The flaw is remotely exploitable.

Recommended Action

Update the InventoryManagementSystem to the latest version. Implement parameterized queries to prevent SQL injection.

Generated by the CTIWATCH analysis pipeline from this CVE's metadata (CVSS, EPSS, KEV status, exploit intelligence). Verify against vendor advisories before acting.

Technical Analysis

CVE-2022-35598 can be exploited remotely over the network without requiring physical or adjacent access, significantly expanding the attack surface for threat actors.

The vulnerability requires no privileges and no user interaction, making it a prime target for automated exploitation campaigns and worm-like propagation.

A successful exploit results in complete confidentiality breach (data exposure), full integrity compromise (data manipulation), availability disruption (denial of service), with a CVSS base score of 9.8.

From a weakness classification perspective (CWE-89): SQL injection vulnerabilities allow attackers to manipulate database queries, potentially exposing or modifying sensitive data.