Is CVE-2022-43775 actively exploited?

No active exploitation of CVE-2022-43775 has been confirmed so far. Continue monitoring, as exploit status can change.

Can CVE-2022-43775 be exploited remotely?

Yes. CVE-2022-43775 is exploitable remotely over the network (CVSS attack vector: Network).

What is the CVSS score of CVE-2022-43775?

CVE-2022-43775 has a CVSS score of 9.8 (CRITICAL).

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CRITICAL

CVE-2022-43775

CWE-89Published: October 26, 2022· Updated: Jun 17, 2026

9.8

CVSS v3.1

Official Description

The HICT_Loop class in Delta Electronics DIAEnergy v1.9 contains a SQL Injection flaw that could allow an attacker to gain code execution on a remote system.

NVD Source

Risk Analysis

Delta Electronics DIAEnergy v1.9 contains a SQL injection vulnerability in the HICT_Loop class that can lead to remote code execution. This critical flaw carries a 9.8 CVSS score, indicating a high risk of total system compromise.

There is no public exploit known for this vulnerability, and it is not in the KEV catalog. It is remotely exploitable with low complexity requirements.

Recommended Action

Upgrade to a version of DIAEnergy that addresses this SQL injection flaw. Implement strict input validation and database access controls.

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-2022-43775 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.