Is CVE-2025-40666 actively exploited?

No active exploitation of CVE-2025-40666 has been confirmed so far. Continue monitoring, as exploit status can change.

Can CVE-2025-40666 be exploited remotely?

Yes. CVE-2025-40666 is exploitable remotely over the network (CVSS attack vector: Network).

What is the CVSS score of CVE-2025-40666?

CVE-2025-40666 has a CVSS score of 9.8 (CRITICAL).

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CRITICAL

CVE-2025-40666

CWE-89Published: May 26, 2025· Updated: Jun 17, 2026

9.8

CVSS v3.1

Official Description

Time-based blind SQL injection vulnerabilities in TCMAN's GIM v11. These allow an attacker to retrieve, create, update and delete databases through ArbolID parameter in/GIMWeb/PC/frmPreventivosList.aspx.

NVD Source

Risk Analysis

TCMAN GIM v11 contains a time-based blind SQL injection vulnerability in the ArbolID parameter of the frmPreventivosList.aspx page. This critical flaw allows unauthenticated remote attackers to manipulate database contents, including retrieval and deletion of records.

The vulnerability is remotely exploitable with low complexity, though no public exploit is currently known and it is not in KEV.

Recommended Action

Apply available patches or updates provided by the vendor for TCMAN GIM v11.

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-2025-40666 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.