Is CVE-2022-45526 actively exploited?

No active exploitation of CVE-2022-45526 has been confirmed so far. Continue monitoring, as exploit status can change.

Can CVE-2022-45526 be exploited remotely?

Yes. CVE-2022-45526 is exploitable remotely over the network (CVSS attack vector: Network).

What is the CVSS score of CVE-2022-45526?

CVE-2022-45526 has a CVSS score of 9.8 (CRITICAL).

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CRITICAL

CVE-2022-45526

CWE-89Published: February 8, 2023· Updated: Jun 17, 2026

9.8

CVSS v3.1

Official Description

SQL Injection vulnerability in Future-Depth Institutional Management Website (IMS) 1.0, allows attackers to execute arbitrary commands via the ad parameter to /admin_area/login_transfer.php.

NVD Source

Risk Analysis

A SQL injection vulnerability in the Institutional Management Website (IMS) allows attackers to execute arbitrary commands via the login_transfer.php script. This 9.8 CVSS rated flaw is critical due to the potential for complete database compromise.

There is no known public exploit, and it is not in the CISA KEV. It is remotely exploitable with low attack complexity.

Recommended Action

Apply patches provided by the vendor to sanitize inputs in the login_transfer.php script.

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-2022-45526 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.