Is CVE-2022-35601 actively exploited?

No active exploitation of CVE-2022-35601 has been confirmed so far. Continue monitoring, as exploit status can change.

Can CVE-2022-35601 be exploited remotely?

Yes. CVE-2022-35601 is exploitable remotely over the network (CVSS attack vector: Network).

What is the CVSS score of CVE-2022-35601?

CVE-2022-35601 has a CVSS score of 9.8 (CRITICAL).

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CRITICAL

CVE-2022-35601

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

9.8

CVSS v3.1

Official Description

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

NVD Source

Risk Analysis

A SQL injection vulnerability in the SupplierDAO.java component of the InventoryManagementSystem allows for the execution of arbitrary SQL commands. This flaw carries a critical 9.8 CVSS score, indicating a high risk of unauthorized data access or modification.

No public exploit is currently known, and the vulnerability is not in the CISA KEV. It is remotely exploitable.

Recommended Action

Upgrade the InventoryManagementSystem to a patched version. Use parameterized queries to mitigate SQL injection risks.

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-2022-35601 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.